436 Data Management Practices jobs in South Africa

Head of Digital and Data Strategy

R70000 - R120000 Y Discovery Ltd.

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Job Description

Business Unit: Discovery Health

Function: Strategy

Date: 10 Sept 2025

About Discovery

About Discovery Discovery's core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Health Digital

This position is within the Discovery Health Digital Product team, working to optimize the use and integration of digital health and telehealth solutions within the healthcare landscape. The primary objective of the role is to ensure the seamless implementation, operation, and enhancement of digital and analytics solutions in the company's digital health platform to support the delivery of delivering efficient, high-quality patient care.

Job Purpose

To assist in both data products for the health digital platform as well as the overall digital product strategy, including product conceptualization and implementation. A strategist and visionary who sets/influences the direction and DNA of the product, the successful candidate will lead a portfolio of initiatives with a focus on the definition of the data strategy for the digital health platform, as well as the subsequent innovation, growth and commercialization of it. The role will be responsible for the development and management of the digital data portfolio roadmap based on adopted strategies and is inherently cross functional, demanding successful collaboration between engineering, product design, marketing, servicing, and other business functions to achieve alignment and successful execution of the strategy. The successful result of this synthesis of various tech and capabilities is the manifestation of intelligent digital products that our customers will strongly engage with.

Areas of responsibility may include but are not limited to;

  • Develop and articulate a clear vision, strategy and roadmap for the data and analytics workstream of the digital health platform.
  • Oversee the lifecycle from concept to launch, including development and deployment.
  • Agreeing value to be delivered by the roadmap and measuring delivered value, to ensure cost-effectiveness of the solutions implemented.
  • Over and above the data-based solutions contribute to the development of the overall digital health platform strategy, focusing on engagement, innovation, growth and commercialization of the platform.
  • Spearhead the research and analysis on both internal data products and as well as external data solutions in the market, identifying and sharing opportunities that lead to growth and innovation of the digital health platform.
  • Guide a team of data-related resources to create, enhance, measure, and continuously improve the data products critical to success of the digital health platform.
  • Ensure that the team is engaged, has clarity in terms of the deliverables and is consistently energized to deliver on these timely.
  • Collaborate with various functions to align and execute data strategies in the digital health platform and ensure that the right level of creativity, experience, guidance, and support is provided in delivering these products to market.
  • Work closely with users of the product to incorporate feedback into continuous development.
  • Ensuring experimentation is at the heart of all development.
  • Regularly engage with senior executive / C-level stakeholders to ensure that strategic objectives are achieved, relevant success metrics defined/refined and that the business case prevails.
  • Adequately update and report into the relevant Excos, Steercom and internal committees.

Job Requirements

Experience

  • 5-7 years of Data and Digital Product Management experience in complex/matrix environments managing complex digital product development and implementations across cross-functional team/s of Product Managers, Product Owners, UX designers, Architects, Business Analysts, Developers
  • Experience in data science, with a track record of successful delivery of data science projects
  • Excellent problem-solving skills and the ability to work in a fast-paced environment
  • Strong communication and leadership skills

Education

  • BSc. Computer Science, Data science, Statistics, Applied Mathematics or a related field
  • Outstanding academic qualifications

Preferred

  • Post-graduate degree in any of the above fields or MBA (advantageous)

Technical Skills or Knowledge

Required

  • Product Management experience in complex/matrix environments managing complex digital product development and implementations across cross-functional team/s of Product Managers, Product Owners, UX designers, Architects, Business Analysts, Developers.
  • Understanding of SDLC and extensive experience in delivery of integrated solutions of meaningful scale.
  • Experience with cloud platforms, such as AWS, GCP and Azure
  • Experience with AI models such as GPT, Llama, Gemini, etc
  • Familiarity with MLOps practices and tools

EMPLOYMENT EQUITY

The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

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Manager - Business Transformation: Data Strategy/Data Governance - Banking and Capital Markets

CrossCountry Consulting

Posted 7 days ago

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Job Description

Manager - Business Transformation: Data Strategy/Data Governance - Banking and Capital Markets

Join to apply for the Manager - Business Transformation: Data Strategy/Data Governance - Banking and Capital Markets role at CrossCountry Consulting .

From the beginning, our goal was to establish an advisory firm that stands apart from the rest – one that is grounded in our Core Values and dedicated to creating a positive experience not just for our clients, but for our people too. We believe in collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success. With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today’s challenges and deliver present and future value.

Our commitment to our people has earned us awards including Inc5000 Fastest Growing Companies and Glassdoor Best Places to Work. Explore what our employees have to say about our culture.

By joining our rapidly growing Business Transformation team you will serve as a trusted partner to our clients, bringing your firsthand experience, perspectives, and functional knowledge to deliver tailored, strategic solutions. You will work with experienced leaders and a dedicated coach within a collaborative community that encourages contributions beyond client delivery.

What You’ll Do

  • Work with high-performing teams to analyze, evaluate and enhance client businesses, including processes, governance, data and technologies.
  • Lead clients and teams on their data journey: collaborating on strategic vision for data, crafting a pragmatic roadmap of initiatives, and aiding implementation aligned to business objectives.
  • Design data governance frameworks and facilitate policies and procedures to meet strategic and regulatory objectives related to data governance, data management, data quality, data risk management, and data privacy and security.
  • Collaborate with senior stakeholders, including business, IT teams and data owners, to identify data needs.
  • Support finance transformation engagements.
  • Conduct interviews to perform current state/future state gap analysis and identify root causes of client challenges.
  • Drive data culture and adoption programs for clients with limited firmwide understanding of data ROI.
  • Establish KPIs related to data quality and data risk, controls, and remediation plans.
  • Develop roadmaps for developing data assets and data commercialization.
  • Drive program/project management activities including status reporting and RAID logs; conduct scrum meetings for defect/development management.
  • Support CrossCountry leadership on internal projects (sales/marketing initiatives, recruiting, organizational development).

What You’ll Bring

  • 5+ years of relevant experience delivering transformation programs into CDO, CTO, COO, CFO, and/or CRO organizations.
  • Strong strategic planning skills with experience building Organizational Level Strategic Roadmaps with C-Suite executives.
  • Up-to-date knowledge of industry trends and best practices in data strategy and governance.
  • Experience in banking and capital markets industries (investment banking, broker-dealers, custody, fund administration, investment management).
  • Proven leadership with strong communication and presentation skills.
  • Professionalism and discretion in interacting with executives and clients.
  • Proficiency in one or more: Collibra, OvalEdge, Atlan, Talend, SAP Master Data, BigID, OneTrust.
  • Experience with SQL, Tableau, Power BI, Alteryx, Snowflake.

Qualifications

  • Bachelor’s degree in Business, Economics, Engineering, Information Systems, Mathematics, Data Analytics, or related discipline.

Benefits Summary

The CrossCountry total rewards package includes comprehensive healthcare options (medical, dental, vision), flexible spending accounts, and a 401(k) with company matching. Generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs are also available to support professional growth and personal well-being. For detailed information, please visit our benefits site:

Equal Employment Opportunity (EEO)

CrossCountry provides equal employment opportunities to all employees and applicants and believes that respect and fair treatment are critical to creating a productive and inclusive workplace. CrossCountry is committed to comply with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Business Development and Sales
  • Industries: Business Consulting and Services

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Manager - Business Transformation: Data Strategy/Data Governance - Banking and Capital Markets

Cross Country Consulting

Posted 17 days ago

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Job Description

Overview

From the beginning, our goal was to establish an advisory firm that stands apart from the rest – grounded in our Core Values and dedicated to creating a positive experience for our clients and our people. We believe in collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success. With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today’s challenges and deliver present and future value.

Our commitment to our people has earned us numerous awards including Inc5000's Fastest Growing Companies and Glassdoor's Best Places to Work. Explore what our employees have to say about our unique culture by clicking here.

By joining our rapidly growing Business Transformation team you will serve as a trusted partner to our clients. You’ll bring your first-hand experience, unique perspectives, and functional knowledge to deliver tailored, strategic solutions. These not only address today’s challenges but also lay the groundwork for future success. With support from experienced leaders and a dedicated coach, you will join a collaborative community that encourages contributions beyond the scope of client delivery.


What You'll Do
  • Working with high-performing teams to analyze, evaluate and enhance our clients’ businesses, including processes, governance, data and technologies
  • Lead our clients and teams on their data journey which includes collaborating on their strategic vision for data, crafting a pragmatic roadmap of initiatives, and aiding our clients in the implementation of these initiatives, aligned to business objectives
  • Drive data governance framework design and facilitate policies and procedures development in line to meet the strategic and regulatory objectives of our clients related to data governance, data management, data quality, data risk management, and data privacy and security
  • Collaborate seamlessly with key senior stakeholders, including business, IT teams and data owners to identify data needs
  • Support finance transformation engagements
  • Conduct interviews with clients to perform current state/future state gap analysis and identify the root causes of client’s challenges
  • Drive data culture and data adoption programs for clients who struggle with firmwide understanding of data ROI
  • Establish KPIs related to data quality and data risk, controls, and remediation plans
  • Develop roadmaps to developing data assets and data commercialization
  • Drive program/project management activities including status reporting or maintain RAID logs, and able to conduct scrum meetings for defect / development management
  • Support CrossCountry leadership team on internal projects, including but not limited to the following: sales/marketing initiatives, recruiting, and organizational development
What You'll Bring
  • 5+ years of relevant experience and track recording delivering transformation programs into CDO, CTO, COO, CFO, and/or CRO organizations
  • Strong strategic planning skills with past experience working with C-Suite executives to build out Organizational Level Strategic Roadmaps
  • Up-to-date on latest industry trends in data strategy and governance
  • Knowledge of industries, including banking and capital markets, investment banking, broker-dealers, custody, fund administration and investment management
  • Proven leadership roles with strong communication and presentation skills
  • Professionalism and discretion in interacting with executives and clients
  • Proficiency in one or more of the following: Collibra, OvalEdge, Atlan, Talend, SAP Master, BigID, OneTrust
  • Experience in tools such as SQL, Tableau, PowerBI, Alteryx, Snowflake
Qualifications
  • Bachelor’s degree in Business, Economics, Engineering, Information Systems, Mathematics, Data Analytics, or similar discipline

Benefits Summary

The CrossCountry total rewards package includes comprehensive healthcare options, including medical, dental, and vision coverage; flexible spending accounts; and a 401(k) with company matching. Additionally, employees can take advantage of generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs, all designed to support both professional growth and personal well-being. For detailed information about benefits at CrossCountry, please visit the benefits site:

Equal Employment Opportunity (EEO)

CrossCountry provides equal employment opportunities (EEO) to all employees and applicants for employment and believes that respect and fair treatment are critical to creating a productive and inclusive workplace. As an equal opportunity employer, CrossCountry complies with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression, or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment.

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Manager - Business Transformation: Data Strategy/Data Governance - Banking and Capital Markets

R1500000 - R2500000 Y CrossCountry Consulting

Posted today

Job Viewed

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Job Description

From the beginning, our goal was to establish an advisory firm that stands apart from the rest – one that is grounded in our Core Values and dedicated to creating a positive experience not just for our clients, but for our people too. We firmly believe in the strength of collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success. With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today's challenges and deliver present and future value.

Our commitment to our people has earned us numerous awards including Inc5000's Fastest Growing Companies and Glassdoor's Best Places to Work. Explore what our employees have to say about our unique culture by clicking here.

By joining our rapidly growing
Business Transformation
team you will serve as a trusted partner to our clients. You'll bring your first-hand experience, unique perspectives, and functional knowledge to deliver tailored, strategic solutions. These not only address today's challenges but also lay the groundwork for future success. With support from experienced leaders and a dedicated coach, you will join a collaborative community that encourages contributions beyond the scope of client delivery.

What You'll Do

  • Working with high-performing teams to analyze, evaluate and enhance our clients businesses, including processes, governance, data and technologies
  • Lead our clients and teams on their data journey which includes collaborating on their strategic vision for data, crafting a pragmatic roadmap of initiatives, and aiding our clients in the implementation of these initiatives, aligned to business objectives
  • Ability to drive data governance framework design and facilitate policies and procedures development in line to meet the strategic and regulatory objectives of our clients related to data governance, data management, data quality, data risk management, and data privacy and security
  • Collaborate seamlessly with key senior stakeholders, including business, IT teams and data owners to identify data needs
  • Support finance transformation engagements
  • Conduct interviews with clients to perform current state/future state gap analysis and identify the root causes of client's challenges
  • Drive data culture and data adoption programs for clients who struggle with firmwide understanding of data ROI
  • Establish KPIs related to data quality and data risk, controls, and remediation plans
  • Develop roadmaps to developing data assets and data commercialization
  • Drive program/project management activities including status reporting or maintain RAID logs, and able to conduct scrum meetings for defect / development management
  • Support CrossCountry leadership team on internal projects, including but not limited to the following: sales/marketing initiatives, recruiting, and organizational development

What You'll Bring

  • 5+ years of relevant experience and track recording delivering transformation programs into CDO, CTO, COO, CFO, and/or CRO organizations
  • Strong strategic planning skills with past experience working with C-Suites executives to build out Organizational Level Strategic Roadmaps
  • Up-to-date on latest industry trends in industry trends and best practices in data strategy and governance
  • Knowledge of industries, including banking and capital markets, investment banking, broker-dealers, custody, fund administration and investment management
  • Proven leadership roles with strong communication and presentation skills
  • Professionalism and discretion in interacting with executives and clients
  • Proficiency in one or more of the following: Collibra, OvalEdge, Atlan, Talend, SAP Master, BigID, OneTrust
  • Experience in tools such as SQL, Tableau, PowerBI, Alteryx, Snowflake

Qualifications

  • Bachelor's degree in Business, Economics, Engineering, Information Systems, Mathematics, Data Analytics, or similar discipline

Benefits Summary
The CrossCountry total rewards package includes comprehensive healthcare options, including medical, dental, and vision coverage; flexible spending accounts; and a 401(k) with company matching. Additionally, employees can take advantage of generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs, all designed to support both professional growth and personal well-being. For detailed information about benefits at CrossCountry, please visit our dedicated benefits site:

Equal Employment Opportunity (EEO)
CrossCountry provides equal employment opportunities (EEO) to all employees and applicants for employment and believes that respect and fair treatment are critical to creating a productive and inclusive workplace.
As an equal opportunity employer, CrossCountry is fully committed to comply with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment.

This advertiser has chosen not to accept applicants from your region.

Lead Developer: Data Architecture

R600000 - R1200000 Y Work Mosadi Solutions

Posted today

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Job Description

Lead Developer

3 Months Renewable Contract

Available Immediately

Banking

Role Overview

We are seeking a highly skilled
Lead Developer
with strong expertise in
data architecture, data engineering, data modelling, and SQL
to join our team in the banking sector. The successful candidate will play a critical role in designing, building, and optimizing scalable data solutions while providing technical leadership and mentorship to a junior team of developers and analysts. This role requires both hands-on technical expertise and the ability to guide and upskill a growing team.

Key Responsibilities

  • Lead the design, development, and implementation of
    robust data architectures
    to support banking applications and analytics.
  • Develop, optimize, and maintain
    ETL/ELT pipelines, data warehouses, and data lakes
    .
  • Drive the design and enforcement of
    data modelling standards
    to ensure accuracy, consistency, and scalability across systems.
  • Write efficient and optimized
    SQL queries
    , stored procedures, and database scripts for complex data processing.
  • Collaborate with stakeholders across business and IT to translate requirements into scalable technical solutions.
  • Ensure data solutions are compliant with
    regulatory, governance, and security requirements
    in the banking sector.
  • Provide
    hands-on technical leadership
    , code reviews, and best practices to elevate the technical quality of deliverables.
  • Mentor, coach, and upskill a junior team of developers and analysts, fostering a culture of knowledge sharing and continuous improvement.
  • Stay current with industry trends, emerging technologies, and best practices in
    data engineering and architecture
    .

Key Skills & Competencies

  • Strong leadership and
    mentorship abilities
    , with proven experience developing junior talent.
  • Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong problem-solving skills, analytical thinking, and attention to detail.
  • Ability to work under pressure in a
    regulated and fast-paced banking environment
    .

Technical Requirements

  • Proven expertise in
    SQL development
    (query optimization, stored procedures, performance tuning).
  • Strong knowledge of
    data architecture and data modelling principles
    (relational, dimensional, and NoSQL).
  • Experience with
    data engineering frameworks
    and technologies (e.g., Python, Spark, Kafka, Airflow, or similar).
  • Experience designing and managing
    data warehouses and/or data lakes
    (e.g., Snowflake, Redshift, BigQuery, or equivalent).
  • Proficiency in
    ETL/ELT design and implementation
    .
  • Familiarity with
    cloud platforms
    (AWS, Azure, or GCP) and their data services.
  • Strong understanding of
    data governance, data quality, and security practices
    within financial services.

Qualifications & Experience

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's advantageous).
  • 8+ years of experience in
    data engineering, data architecture, and SQL development
    .
  • 3+ years in a
    leadership or senior developer role
    , with mentorship experience.
  • Prior experience in the
    banking or financial services sector
    is strongly preferred.
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Senior Manager - Data Scientist.Group Strategy and Transformation

Roodepoort, Gauteng MTN

Posted 3 days ago

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Job Description

Job title: Senior Manager - Data Scientist.Group Strategy and Transformation

Job Location: Gauteng, Roodepoort

Deadline: October 15, 2025

Quick Recommended Links

  • Jobs by Location
  • Job by industries
Responsibilities Model Design & Development
  • Lead the development of advanced machine learning models and AI frameworks that leverage telco, geolocation, and behavioural signals.
  • Define modelling standards and promote reuse of pipelines, features, and architectures across multiple use cases.
AI Solution Packaging
  • Architect AI-enabled components that can be operationalised as scalable products or consulting accelerators across OpCos.
  • Guide the modularisation of ML solutions for deployment in different sectors (e.g. financial services, retail, government).
Use Case Leadership & Translation
  • Engage with executive and business stakeholders to identify high-impact use cases aligned to commercial and operational KPIs.
  • Define the success criteria, data requirements, and validation frameworks that underpin each AI initiative.
MLOps and Deployment
  • Partner with Engineering and DevOps to ensure seamless model deployment into production environments using modern CI / CD, containerisation, and MLflow / Kubeflow pipelines.
  • Embed traceability, auditability, and scalability as core principles of ML deployment practices.
Model Monitoring & Ethics
  • Lead efforts to track model health, bias, drift, and fairness in accordance with Responsible AI and ethical governance frameworks.
  • Define audit protocols and escalation paths for AI risk mitigation and regulatory compliance.
Cross-functional Collaboration
  • Serve as the AI representative within multidisciplinary squads, aligning workstreams across Data Engineering, Product, Governance, and Commercial teams.
  • Translate technical complexity into strategic narratives that influence senior leadership and client stakeholders.
Leadership & Innovation Expectations
  • Champion a data science culture of experimentation, intellectual curiosity, and measurable business value.
  • Drive innovation in AI use cases, including real-time intelligence, geospatial modelling, and deep learning frameworks.
  • Build communities of practice for AI excellence across MTN OpCos.
  • Represent MTN DataCo in regional and global forums to promote leadership in responsible and impactful AI applications.
Qualifications Education
  • 4 year degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field (required)
  • Master’s degree or PhD in Machine Learning, Artificial Intelligence, or a relevant discipline (preferred)
  • Certifications in machine learning, cloud AI services (e.g. GCP ML, Azure AI, Databricks), or Responsible AI frameworks (advantageous)
Experience
  • Minimum of 5 - 8 years of progressive experience in data science, AI / ML solution development, or advanced analytics, with a proven record of production-grade deployments
  • At least 3+ years in a senior leadership or team lead role guiding AI initiatives in enterprise settings
  • Demonstrated success in developing and scaling AI / ML solutions using telco, location, or behavioural datasets
  • Strong experience working in cloud-based MLOps environments (e.g. Azure ML, GCP Vertex AI, Databricks, MLflow / Kubeflow)
  • Exposure to cross-sector AI deployments, including financial services, retail, or public sector use cases, is highly advantageous
  • Proven track record of working in agile, cross-functional teams, ideally in platform, product, or consulting environments
  • Prior experience in telco, urban planning, consulting, or retail analytics domains
  • Demonstrated experience with big data datasets in customer behaviour, geospatial, etc.
  • Proven ability to deploy models into production and monitor at scale
Competencies
  • ML & AI Expertise : Deep understanding of supervised / unsupervised learning, time series, recommendation systems, classification, NLP, and spatial ML
  • Solution Packaging : Ability to abstract models into reusable components, APIs, or solution accelerators
  • MLOps Proficiency : Practical experience with model versioning, testing, orchestration, and monitoring in production
  • Responsible AI & Ethics : Working knowledge of fairness, bias detection, explainability, and AI risk governance
  • Strategic Translation : Strong business acumen with ability to align technical work to commercial and operational outcomes
  • Technical Leadership : Capable of mentoring junior data scientists and leading architectural discussions
  • Communication & Influence : Clear communicator who can engage C-level audiences and simplify technical concepts for non-technical stakeholders
Key Deliverables : Internal :
  • Enterprise-grade ML Models : Deployed predictive and prescriptive models that directly inform business-critical decisioning across Group and OpCos (e.g., churn prediction, product affinity, fraud detection).
  • Reusable AI Pipelines : Production-ready ML pipelines and feature stores, complete with automated retraining, performance monitoring, and MLOps documentation to support cross-functional reuse and scalability.
  • Strategic AI Use Case Portfolio : Curated catalogue of prioritised, high-impact AI use cases mapped to business KPIs, with supporting artefacts (problem statements, data assets, success metrics, and outcome reports).
  • Responsible AI & Governance Artefacts : Integrated bias assessment reports, fairness validations, and model documentation aligned to MTN’s AI governance standards.
External :
  • Client-ready AI Assets : Sector-specific AI solutions (e.g., footfall prediction, customer lifetime value, geospatial targeting) embedded in MTN’s PoV and consulting engagements.
  • Commercialised AI Offerings : Packaged machine learning modules and APIs contributing to MTN DataCo’s product catalogue and monetisation platforms.
  • Thought Leadership Contributions : Insight briefs, client presentations, and published use cases that position MTN as a pan-African leader in responsible and applied AI.
  • Partner Integration Support : Technical documentation and onboarding artefacts enabling secure and scalable integration of AI components into client or partner environments.

Apply Before 10 / 13 / 2025

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Senior manager - data scientist.group strategy and transformation

Roodepoort, Gauteng MTN

Posted 1 day ago

Job Viewed

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Job Description

permanent
Job title: Senior Manager - Data Scientist. Group Strategy and Transformation Job Location: Gauteng, Roodepoort Deadline: October 15, 2025 Quick Recommended Links Jobs by Location Job by industries Responsibilities Model Design & Development Lead the development of advanced machine learning models and AI frameworks that leverage telco, geolocation, and behavioural signals. Define modelling standards and promote reuse of pipelines, features, and architectures across multiple use cases. AI Solution Packaging Architect AI-enabled components that can be operationalised as scalable products or consulting accelerators across Op Cos. Guide the modularisation of ML solutions for deployment in different sectors (e.g. financial services, retail, government). Use Case Leadership & Translation Engage with executive and business stakeholders to identify high-impact use cases aligned to commercial and operational KPIs. Define the success criteria, data requirements, and validation frameworks that underpin each AI initiative. MLOps and Deployment Partner with Engineering and Dev Ops to ensure seamless model deployment into production environments using modern CI / CD, containerisation, and MLflow / Kubeflow pipelines. Embed traceability, auditability, and scalability as core principles of ML deployment practices. Model Monitoring & Ethics Lead efforts to track model health, bias, drift, and fairness in accordance with Responsible AI and ethical governance frameworks. Define audit protocols and escalation paths for AI risk mitigation and regulatory compliance. Cross-functional Collaboration Serve as the AI representative within multidisciplinary squads, aligning workstreams across Data Engineering, Product, Governance, and Commercial teams. Translate technical complexity into strategic narratives that influence senior leadership and client stakeholders. Leadership & Innovation Expectations Champion a data science culture of experimentation, intellectual curiosity, and measurable business value. Drive innovation in AI use cases, including real-time intelligence, geospatial modelling, and deep learning frameworks. Build communities of practice for AI excellence across MTN Op Cos. Represent MTN Data Co in regional and global forums to promote leadership in responsible and impactful AI applications. Qualifications Education 4 year degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field (required) Master’s degree or Ph D in Machine Learning, Artificial Intelligence, or a relevant discipline (preferred) Certifications in machine learning, cloud AI services (e.g. GCP ML, Azure AI, Databricks), or Responsible AI frameworks (advantageous) Experience Minimum of 5 - 8 years of progressive experience in data science, AI / ML solution development, or advanced analytics, with a proven record of production-grade deployments At least 3+ years in a senior leadership or team lead role guiding AI initiatives in enterprise settings Demonstrated success in developing and scaling AI / ML solutions using telco, location, or behavioural datasets Strong experience working in cloud-based MLOps environments (e.g. Azure ML, GCP Vertex AI, Databricks, MLflow / Kubeflow) Exposure to cross-sector AI deployments, including financial services, retail, or public sector use cases, is highly advantageous Proven track record of working in agile, cross-functional teams, ideally in platform, product, or consulting environments Prior experience in telco, urban planning, consulting, or retail analytics domains Demonstrated experience with big data datasets in customer behaviour, geospatial, etc. Proven ability to deploy models into production and monitor at scale Competencies ML & AI Expertise : Deep understanding of supervised / unsupervised learning, time series, recommendation systems, classification, NLP, and spatial ML Solution Packaging : Ability to abstract models into reusable components, APIs, or solution accelerators MLOps Proficiency : Practical experience with model versioning, testing, orchestration, and monitoring in production Responsible AI & Ethics : Working knowledge of fairness, bias detection, explainability, and AI risk governance Strategic Translation : Strong business acumen with ability to align technical work to commercial and operational outcomes Technical Leadership : Capable of mentoring junior data scientists and leading architectural discussions Communication & Influence : Clear communicator who can engage C-level audiences and simplify technical concepts for non-technical stakeholders Key Deliverables : Internal : Enterprise-grade ML Models : Deployed predictive and prescriptive models that directly inform business-critical decisioning across Group and Op Cos (e.g., churn prediction, product affinity, fraud detection). Reusable AI Pipelines : Production-ready ML pipelines and feature stores, complete with automated retraining, performance monitoring, and MLOps documentation to support cross-functional reuse and scalability. Strategic AI Use Case Portfolio : Curated catalogue of prioritised, high-impact AI use cases mapped to business KPIs, with supporting artefacts (problem statements, data assets, success metrics, and outcome reports). Responsible AI & Governance Artefacts : Integrated bias assessment reports, fairness validations, and model documentation aligned to MTN’s AI governance standards. External : Client-ready AI Assets : Sector-specific AI solutions (e.g., footfall prediction, customer lifetime value, geospatial targeting) embedded in MTN’s Po V and consulting engagements. Commercialised AI Offerings : Packaged machine learning modules and APIs contributing to MTN Data Co’s product catalogue and monetisation platforms. Thought Leadership Contributions : Insight briefs, client presentations, and published use cases that position MTN as a pan-African leader in responsible and applied AI. Partner Integration Support : Technical documentation and onboarding artefacts enabling secure and scalable integration of AI components into client or partner environments. Apply Before 10 / 13 / 2025 #J-18808-Ljbffr
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About the latest Data management practices Jobs in South Africa !

Strategy & Reporting Data Analyst

Roodepoort, Gauteng R4320000 - R6480000 Y Snatch | Accounting & Finance Headhunters

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Job Description

Johannesburg, South Africa (On-site)

Salary CTC: R450k – R540k per year

2-5 years of experience in management accounting or financial analysis

Experience with grant reporting and donor funding requirements

Responsible for process enhancement and the development and optimization of financial systems

Introduction:

We are partnering with a leading pan-African educational institution, globally recognized for developing Africa's next generation of leaders.

We're looking for a
Strategy & Reporting Data Analyst
who sees beyond the spreadsheets—someone with strong finance skills, advanced Excel ability, and the insight to turn data into clear, impactful reports. This is more than a finance role: it's a chance to apply your expertise in an organization that is shaping the future of the continent.

Key Responsibilities:

  • Prepare and analyse monthly financial reports for internal business units.
  • Manage the end-to-end budget and reforecasting process (planning, preparation, review, reporting).
  • Analyse and report on budget performance (budget vs. actual) with insightful variance commentary and recommendations.
  • Track and report on the financial performance of grant-funded programs; prepare draft grant reports.
  • Reconcile grant reports with accounting system records.
  • Maintain supporting documentation and a central repository for donor contracts and related documents.
  • Support senior leadership in preparing financial presentations for board and committee meetings.
  • Manage the integration, optimisation, and improvement of financial systems.
  • Assist with planning, implementation, and monitoring of special finance projects.

Skills & Knowledge Requirements:

  • Strong software proficiency (Excel and ERP systems).
  • Excellent financial analysis skills, with the ability to interpret data and identify trends.
  • Strong communication skills for clear, concise financial reporting.
  • High attention to detail and accuracy.
  • Solid understanding of management accounting (budgeting, forecasting, planning).
  • Proven problem-solving skills and ability to resolve financial issues.

Key Performance Indicators:

  • Timely, accurate monthly financial reports and reconciliations.
  • Insightful variance analysis with proactive recommendations.
  • Effective management of annual budget and reforecasting cycles.
  • Compliance with all internal and external grant reporting deadlines.
  • Continuous improvement in financial systems and processes.

Qualifications & Experience:

  • Bachelor's degree in Accounting, Finance, or related field.
  • 2–5 years' relevant experience (management accounting, cost accounting, or financial analysis).
  • Professional certification (e.g.,
    SAIPA, ACCA
    ) or
    progress toward a qualification such as CIMA
    (advantageous).

Salary:

  • R 37,500 – R 45,000 per month CTC, depending on the candidate
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Manager - Data Engineer IT Strategy and Transformation

Roodepoort, Gauteng R2000000 - R2500000 Y MTN

Posted today

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Job Description

MTN is undergoing a significant transformation to become a platform-led, data-powered, and AI-native enterprise. This journey is driven by the increasing demand for intelligent data products that are scalable, market-responsive, and rooted in strong data governance. DataCo, as the Group's strategic data enablement unit, is tasked with delivering products and platforms that unlock value from telco, geospatial, and behavioural datasets, both for internal operations and external clients.

Central to this journey is the creation of robust data infrastructure that supports advanced analytics, AI, and external monetisation use cases. DataCo, MTN Group's centralised data enablement function, is tasked with building and maintaining a high-quality data estate that is interoperable across OpCos and extendable to strategic partners and clients.

Global Influences:

The global economy is undergoing rapid digital transformation, with AI and machine learning emerging as core differentiators for competitive advantage. Enterprises are embedding predictive intelligence into their operations, products, and customer experiences to enhance efficiency, agility, and revenue growth. Meanwhile, cloud-native analytics platforms, federated learning, and MLOps frameworks are standardising how AI is scaled across complex, multi-market organisations.

Heightened focus on data ethics, fairness, and regulatory compliance is also shaping the design of AI systems. As governments tighten rules around data privacy, bias mitigation, and model explainability, organisations must ensure that AI is not only effective but also responsible and trustworthy.

Industry Drivers:

In the telecommunications sector, predictive analytics has become central to driving value from large-scale, real-time data generated by mobile networks, customer usage, and behavioral patterns. Use cases such as churn prediction, next-best-offer recommendations, network anomaly detection, and location-based targeting are no longer aspirational , they are expected. As telcos evolve into techcos and platform businesses, the ability to productise and monetise AI capabilities across industries such as FMCG, Retail, finance, and public services becomes a critical growth lever.

Additionally, as data monetisation becomes mainstream, clients are not just asking for raw data but for intelligent insights, predictive signals, and decision-ready outputs all of which require robust data science capacity.

Organisational Mandate:

MTN DataCo is positioned at the forefront of MTN Group's transformation into a data-powered, AI-native enterprise. The organisation is building a multi-OpCo data ecosystem capable of scaling advanced analytics across internal functions (e.g., marketing, sales, finance, networks) and external markets. This includes delivering reusable AI models, creating monetisable analytics solutions, and integrating intelligence into products and consulting services.

Within this context, the Product Owner/Manager plays a critical role in translating MTN's DDO strategy into high-impact data intelligence solutions. These products must serve diverse users, from OpCo teams to multinational clients, while aligning with MTN's consulting services and monetisation roadmaps. As the product lead, the incumbent must navigate a federated technology landscape, orchestrate agile delivery, and ensure that MTN's data products are competitive, compliant, and commercially viable.

Organization Values:

At MTN we believe that understanding our people's needs and aspirations is key to creating experiences that delight you at work, every day. We are committed to fostering an environment where every member of our Y'ello Family is heard, understood, and empowered to live an inspired life. Our values keep us grounded and moving in the right direction. Most importantly, they keep us honest. It is not something we claim to be. It is in our DNA.

As an organisation, we consider it our mission to create an exciting and rewarding place to work, where our people can be themselves, thrive in positivity and ignite their full potential. A workplace that boosts creativity and innovation, improves productivity, and ultimately drives meaningful results. A workplace that is built on relationships and achieving a purpose that is bigger than us. This is what we want you to experience with us

Our commitments go beyond an organisational promise. It is in our leadership and managerial ethos to meaningfully partner with our employees, customers, and stakeholders with a vision to realise our shared goals.

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General Manager- Data Monetization Sales.Group Strategy and Transformation

Roodepoort, Gauteng MTN Group

Posted 2 days ago

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Job Description

Global Influences :

  • Enterprises and Governments are seeking actionable data services through self-service APIs, partner platforms, and data marketplaces
  • Telcos are increasingly embedding B2B2X models to support commercialisation of network and data capabilities
  • Monetisation success requires integration of data driven solutions into existing sales ecosystems, along with custom commercial models per vertical
  • Strategic partnerships with hyperscalers, digital platforms, and regional aggregators are essential for scaling reach

Organization Values :

At MTN we believe that understanding our people’s needs and aspirations is key to creating experiences that delight you at work, every day. We are committed to fostering an environment where every member of our Y’ello Family is heard, understood, and empowered to live an inspired life. Our values keep us grounded and moving in the right direction. Most importantly, they keep us honest. It is not something we claim to be. It is in our DNA.

As an organisation, we consider it our mission to create an exciting and rewarding place to work, where our people can be themselves, thrive in positivity and ignite their full potential. A workplace that boosts creativity and innovation, improves productivity, and ultimately drives meaningful results. A workplace that is built on relationships and achieving a purpose that is bigger than us. This is what we want you to experience with us!

Our commitments go beyond an organisational promise. It is in our leadership and managerial ethos to meaningfully partner with our employees, customers, and stakeholders with a vision to realise our shared goals.

Our values dubbed, LIVE Y’ello, are the cornerstone of our culture.

Lead with Care

Can-do with Integrity

Collaborate with Agility

Serve with Respect

Act with Inclusion

1. Commercial GTM Strategy Execution
  • Develop and execute a comprehensive sales strategy for data monetization, ensuring a robust pipeline of opportunities and achieving aggressive sales targets
  • Own and drive the full sales pipeline lifecycle : from lead generation and qualification to deal closure and post-sale success
  • Drive the execution of DataCo’s go-to-market strategies across priority verticals and product lines, including mobility insights, retail intelligence, and SME targeting
  • Translate product positioning into compelling sales narratives, ROI-driven messaging, and sector-specific value propositions
  • Support the launch and localization of packaged offerings across MTN OpCos
  • Stay abreast of industry trends, competitive landscapes, and emerging technologies in data analytics, geospatial intelligence, and data monetization
2. Sales Enablement & Deal Structuring
  • Equip OpCo sales teams with enablement tools, including playbooks, pricing calculators, proposal templates, and objection-handling guides
  • Lead complex deal structuring and pricing negotiations for strategic accounts and data aggregators
  • Monitor proposal-to-close ratios and drive continuous uplift in sales capability
  • Develop pricing, bundling, and packaging strategies for data products
  • Serve as the technical lead in sales engagements, articulating product capabilities, use cases, and integration strategies
  • Work closely with data science, engineering, and product teams to tailor solutions to customer needs
  • Lead the design of campaigns and promotional strategies to accelerate client conversion
  • Proactively identify and assess new market segments, use cases, and business models for data monetization, translating insights into tangible sales opportunities
3. Client Engagement & Pipeline Acceleration
  • Technical Pre-Sales Leadership, Oversee and guide the technical pre-sales process, ensuring the team effectively demonstrates the value and capabilities of MTN's geospatial analytics and other data products
  • Act as a primary point of contact for key clients, collaborating closely with them to understand their business challenges and co-create innovative data-driven solutions leveraging MTN and third-party data
  • Manage the full pipeline lifecycle ., from lead qualification and co-creation workshops to pilot delivery and conversion
  • Track traction metrics and lead conversion benchmarks to inform sales strategy and execution
4. Partner Ecosystem Activation & Team Build
  • Identify, onboard, and co-develop joint offerings with hyperscalers, telco alliance partners, and data platform providers
  • Forge strategic partnerships with data resellers, data brokers, platforms, and ecosystem partners
  • Work closely with product development, marketing, and other internal teams to ensure alignment of sales efforts with product roadmaps and market demands
  • Recruit, train, mentor, and manage a high-performing team of technical pre-sales specialists
  • Define commercial agreements and joint go-to-market plans with strategic resellers
  • Monitor partner sales performance, training effectiveness, and integration with MTN systems to ensure delivery consistency and impact
5. Sales & Revenue Performance Management
  • Define and track revenue targets, segment specific KPIs, and partner contribution metrics
  • Lead sales governance forums to review regional performance, pipeline velocity, and client success
  • Provide accurate sales forecasts, pipeline reports, and performance analyses to senior management
  • Recommend incentive schemes and feedback mechanisms to improve field traction and sales outcomes
  • Define objectives and establish monetization KPIs aligned with DataCo’s incubation checkpoints
  • Monitor pipeline activation, forecast revenue, and drive feedback loops for product optimisation
  • Collaborate with Finance to integrate monetization metrics into financial planning
  • Regularly assess customer satisfaction and NPS for monetized data products to inform product and sales strategy
6. Governance, Risk and Brand Compliance
  • Ensure legal, privacy, and regulatory compliance in all data monetization activities
  • Ensure all outbound commercial engagements comply with MTN’s data governance, consent, and privacy standards
  • Partner with Legal and Privacy teams to structure compliant and auditable commercial agreements
  • Collaborate with Brand and Communication teams to ensure unified, reputationally sound go-to-market messaging
Education :
  • Bachelors’ or Master’s degree in Business Strategy, Computer Science, Engineering, Data Science, or a related field
  • MBA or relevant executive leadership training is advantageous, especially with a focus in Strategy, Digital Marketing, or related commercial discipline
  • Professional certifications in solution sales methodologies (., SPIN, Challenger, MEDDIC) are a plus
Experience :
  • Minimum of 10+ years of experience in enterprise sales leadership roles, with a demonstrable track record of exceeding sales targets in complex B2B environments, with an ideal focus in data, analytics, technology, or telecom
  • Extensive experience in data monetization strategies, business models, and value propositions
  • Exceptional ability to understand customer needs, articulate value, and co-create tailored solutions that address specific business challenges
  • Strong understanding of commercial terms, pricing strategies, and contract negotiations
  • Proven ability to identify and develop new business opportunities and expand market share
  • Capability to develop and execute long-term sales strategies aligned with organizational goals
  • Understanding of key financial metrics and their impact on business performance
  • Ability to translate technical capabilities into business value propositions
  • Superior written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences
  • Ability to deliver compelling presentations to C-suite executives and diverse stakeholders
  • Highly developed negotiation and influencing capabilities
  • Excellent analytical and problem-solving abilities, with a solutions-oriented approach
  • Demonstrated ability to build, motivate, and manage high-performing sales teams
  • Proven ability to manage relationships with internal and external stakeholders at all levels
  • Ability to thrive in a fast-paced, dynamic, and evolving technology landscape
Competencies :
  • Enterprise Sales Strategy : Designs and leads value-based selling strategies across B2B and public sector domains
  • Solution Co-Creation : Collaborates with partners and clients to shape data-driven use cases and commercial outcomes
  • Partner Ecosystem Development : Identifies and scales high-value relationships to extend market reach
  • Performance Management : Tracks pipeline health, conversion rates, and sales metrics to inform strategy and capability interventions
  • Commercial Deal Design : Leads complex deal structuring aligned with monetization models, consent frameworks, and buyer expectations
  • Client Relationship Management : Builds long-term commercial relationships grounded in credibility and innovation
  • GTM Content Development : Crafts sector-specific sales kits, demos, and proposal assets to support field enablement
Functional Knowledge :
  • Geospatial Analytics Knowledge : Strong understanding of geospatial data, GIS platforms, location intelligence, and their applications across various industries
  • Data Analytics & AI / ML : Solid grasp of data analytics concepts, methodologies, and the application of Artificial Intelligence and Machine Learning in real-world business scenarios
  • Big Data Technologies : Familiarity with big data technologies, data warehousing, and data lake architectures
  • Cloud Platforms : Understanding of cloud-based data solutions and platforms (., AWS, Azure, GCP)
  • API Economy : Knowledge of API-driven data exchange and integration
  • Data Governance & Privacy : Awareness of data governance principles, data privacy regulations and ethical data usage

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