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The Head of Data Management will lead the development, implementation and management of the bank’s data strategy. This role is accountable for ensuring data integrity, availability, and security while supporting business objectives. The Head of Data Management will work closely with leadership, technology teams and business units to drive data governance, data quality and data architecture initiatives.

Job Responsibilities:

Data Strategy Development and Execution

• Develop and implement a comprehensive data management strategy aligned with the bank’s business goals.
• Drive the adoption of best practices for data management across the organization.
• Ensure data assets are managed and utilized effectively to support decision-making.

Data Architecture and Infrastructure

• Oversee the design, implementation, and maintenance of the bank’s data architecture.
• Collaborate with IT teams to ensure data systems and platforms are scalable, secure, and efficient.
• Evaluate and implement data management technologies and tools.

Data Quality and Integrity

• Lead efforts to ensure data accuracy, completeness, and reliability across the organization.
• Develop and enforce data quality standards and metrics.
• Implement data cleansing and validation processes.

Team Leadership and Development

• Build and manage a high-performing data management team, including data governance, data architecture, data scientists and data quality professionals.
• Provide mentorship, training, and career development opportunities to team members.
• Foster a collaborative and innovative team culture.

Collaboration and Stakeholder Management

• Work closely with business units to understand their data needs and challenges.
• Partner with IT, risk, and compliance teams to ensure data management aligns with broader organizational goals.
• Communicate data management strategies and progress to executive leadership.
• Identify and mitigate risks related to data management, including data breaches and unauthorized access.
• Ensure data management practices align with the bank’s risk management framework.

Innovation and Continuous Improvement

• Stay abreast of industry trends and advancements in data management.
• Continuously improve data management practices and processes to enhance efficiency and effectiveness.
• Drive innovation in data usage, including the implementation of advanced analytics and AI-driven insights.

Data Lifecycle management and Metadata management

• Ensure policies, processes and standards exist for data lifecycle management (i.e. Management of data from creation to deletion) and for metadata management
• Ensure metadata is up-to-date and accessible

Master Data Management

• Ensure policies, processes and standards exist for master data management
• Drive the centralization of key data (like customer information and product data) and ensure it is consistent across the bank.

Data Integration

• Ensure that data required to provide BI is combined from different sources to provide a unified view for Analytics team to utilize.
• Focus areas to achieve this include ETL processes, provision of data lakes, APIs and data synchronization between systems.

Qualifications and Experience:

• Completed a Post B-Degree in Computer Science, Information Systems, Data Management, Engineering or related field (NQF8)
• Completed or studying towards a master’s qualification
• At least 10 years’ experience in implementing and managing a data management function
• + 5 years banking or financial industry experience
• Proven track record of developing and implementing data management strategies and governance frameworks.
• Strong understanding of data management tools and technologies (e.g., SQL, ETL processes, data lakes, cloud platforms).
• Knowledge of regulatory requirements related to data management and privacy.
• Proficiency in data analytics and business intelligence tools.
• Strong understanding and experience with data architecture design, data warehousing, and data integration.
• Understanding of business operations and banking industry

Skills and Attributes:

• Excellent communication skills, both verbal and written with the ability to present complex technical information to non-technical stakeholders
• Strong project management skills and ability to deliver projects within allocated budget
• Strong strategic thinking and problem-solving skills.
• Strong attention to detail and commitment to data accuracy, quality and integrity
• Build relationships between various stakeholders to foster collaboration
• Ability to manage a team of and data scientists, data quality, BI and data architecture specialists
• Methodical
• Creative or Innovative
• Analytical and strategic thinker
• Self- driven and resilient
• High pressure tolerance

Closing date: 10 June 2025

Disclaimers:

The South African Postbank SOC Limited is committed to the achievement and maintenance of diversity and equity in employment, especially with regard to race, gender and disability. In compliance with the bank’s employment equity plans, we encourage and welcome applications from diverse groups from the South African Employee active population. Correspondence will be limited to short-listed candidates only.

Note, only applications received on this platform will be considered. “POPIA sections provides that everyone has the right to privacy and it includes a right to protection against the unlawful collection, retention, dissemination and use of personal information. By applying for employment you consent to the processing of your personal information with Postbank. Your personal information and any attached text or documentation are retained by Postbank for a period in accordance with relevant data legislation.”

If you do not hear from the South African Postbank SOC Limited or its Agent within 3 months of this advertisement, please accept that your application has been unsuccessful. The South African Postbank SOC Limited reserves the right not to fill the positions or to re-advertise the positions at any time.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance and Information Technology
• Industries Banking and Financial Services

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Are you passionate about data management and information systems? Our client is seeking a skilled individual to join their team as a Data & Management Information Systems Specialist!

1. Head office-based role working with Operations Head, Finance Manager & IT.
2. Understanding of the Companies Operating Model & business processes.
3. Responsible for change control of data into production environment.
4. Align with data architecture & data design mapping to enable data integration.

Qlik; XLS; Power Bi; Internal Applications (proprietary systems built in-house)

1. Experience in financial services/Wealth Management (beneficial).
2. Exposure to Xplan (beneficial).

The purpose of this role is to maintain accurate and up-to-date financial data, ensuring compliance with internal policies and regulatory requirements as well as overseeing and providing guidance to junior staff members in the finance department.

Minimum Qualifications:

• Matric/ Grade 12
• Bachelor’s degree in finance, Accounting, Business Administration, or related field
• Minimum of 3-5 years’ experience in finance, accounting, or data management roles
• Previous debtors/creditors management experience is beneficial with preferred exposure to the retail industry
• Proficiency in financial software and systems, such as ERP systems (e.g., SAP, NetSuite, Oracle, Dynamic 365 ), Microsoft Excel, and database management tools

Responsibilities:

• Data Management:
• Maintain accurate financial records, including accounts receivable, payable, and general ledger entries
• Ensure timely and accurate processing of financial transactions, including invoices, payments, and journal entries
• Regularly reconcile financial data to identify discrepancies and resolve issues promptly
• Develop and implement standardized processes for data entry, validation, and documentation
• Master Data Maintenance:
• Update and maintain master data records, including vendor and customer information, pricing structures, and payment terms
• Conduct regular audits of master data files to ensure completeness, accuracy, and consistency
• Collaborate with stakeholders to address any discrepancies or issues related to master data
• Reporting and Analysis:
• Analyse financial data to identify trends, variances, and opportunities for improvement
• Provide insights and recommendations to management based on financial analysis and performance metrics
• Process Improvement:
• Identify areas for process improvement and efficiency gains in financial data management
• Implement best practices and procedures to enhance data quality, accuracy, and reliability
• Collaborate with cross-functional teams to develop and implement system enhancements or automation initiatives
• Compliance and Risk Management:
• Ensure compliance with internal policies, accounting standards, and regulatory requirements
• Proactively identify and mitigate risks related to financial data integrity and accuracy
• Stay informed about changes in regulations and industry standards impacting financial reporting and data management
• Staff Management:
• Provide guidance and support to junior staff members in the finance department
• Delegate tasks effectively, ensuring timely completion and adherence to quality standards
• Facilitate training and development opportunities to enhance the skills and knowledge of staff

Key Skills and Competencies:

• Good understanding of financial principles and accounting practices
• Excellent analytical and problem-solving skills, with a keen attention to detail
• Effective communication and interpersonal skills, with the ability to collaborate across departments and levels of the organization
• Proven ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment
• Proven ability to manage and motivate a team
• Excellent organisational skills

Tulane International seeks a Technical Assistance & Data Management Director.

The Technical Assistance and Data Management Director will contribute to Tulane International’s successful execution of the “Protecting Highly Vulnerable Children – Research, Monitoring and Quality Improvement Activity.” Work will encompass providing technical leadership for the development of standardized monitoring systems and associated guidance and trainings for South African PEPFAR-funded implementing partners providing community-based programming for orphans and vulnerable children (OVC) and DREAMS programming (Determined, Resilient, Empowered, AIDS-free, Mentored and Safe) for adolescent girls and young women (AGYW). The candidate will also contribute to Tulane’s leadership in this sphere through strategic relationship development with local and international stakeholders and publications in peer-reviewed journals and other fora. High levels of technical expertise, longstanding experience with PEPFAR global monitoring and evaluation guidance for OVC & AGYW, and outstanding leadership and communication skills are required.

Location: Position can be based in Cape Town or Durban. Relocation costs are not offered.

Applicants should submit a CV and cover letter describing their appropriateness for the position to.

REQUIRED EDUCATION AND EXPERIENCE:

• Master-level or higher training in public health, informatics, public policy, social or behavioral science or related field.
• A minimum of 5 years experience working in one or more areas of public health, such as HIV and AIDS (including OVC), child health or survival, or monitoring and evaluation.
• A minimum of 5 years of progressively responsible experience in a technical advisory role for large-scale family and community-based programs.
• A minimum of 5 years of experience serving in a technical advisory role for a PEPFAR-funded activity, with a focus on improving the wellbeing of OVC and HIV prevention among AGYW and data management.
• Demonstrated role in strengthening coordination and linkages between clinical and community stakeholders, and operationalizing integrated service delivery models.
• Demonstrated experience applying PEPFAR technical guidance for performance and outcome monitoring, reporting and data management.
• Experience collaborating closely with USG donors, local programme and research implementing partners.
• Experience with applied monitoring and evaluation, including routine program monitoring systems, longitudinal surveys, operations research, and qualitative research.

REQUIRED KNOWLEDGE, SKILLS, ABILITIES / COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY:

• Expert knowledge of USAID guidelines, recommendations, standards and requirements for HIV-related programs implemented by community-based partners.
• Demonstrated written, presentation, communication and organizational skills in English.
• Excellent communication skills and demonstrated ability to lead and collaborate on peer-reviewed academic journal publications as well as ‘gray’ literature.
• Ability to prioritize among multiple tasks and work independently in order to meet deadlines under pressure while maintaining exceptional attention to detail and quality.
• Demonstrated ability to provide project administrative leadership including successful proposal writing, planning and budgeting, subcontract/scope of work development, and presenting at professional meetings and trainings.
• Demonstrated ability to manage large teams and effectively coordinate with a range of stakeholders including government, community and other civil society organizations, and the private sector.
• Advanced command of database management programs.

Join a leading Financial Services firm in their quest for excellence! Are you a skilled Data Warehousing Specialist seeking an exciting opportunity to make a significant impact? Our client, a prominent player in the financial industry, is actively seeking a talented professional like yourself to join their dynamic team. You will need to establish and lead a world-class data analytics/warehouse capability for the company to enable future needs for advanced analytics and AI.

Maintain and support:

• Existing MIS databases.
• Existing reports and dashboards.
• Existing data warehouses.

Develop, test, deploy, maintain and support: new databases, and reporting, data warehouse and business intelligence applications from high-level business requirements and designs, through the Software Development Life Cycle.

Remain informed about developments and trends in the data enablement field to assist the business to keep its data analytics and management capability up-to-date, and able to meet the future needs of the business in a constantly maturing and increasingly complex short-term insurance industry.

Outputs:

Internal Process:

• Collaborate with Project Managers and Business Leaders to deliver quality, effective management information, data warehouse and business intelligence applications, in line with the agreed development process and business needs.
• Collaborate with stakeholders to gather requirements, conduct analysis and prioritise requests.
• Conduct research and evaluate potential technical solutions to identified business problems.
• Translate business requirements into workable solutions and document solutions into technical specifications, partnering with Business and/or System Analysts when required.
• Design and code new database and analytics functionality using code that is readable, maintainable and reusable.
• Conduct Unit Testing of own code and resolve all issues/queries timeously.
• Contribute to user acceptance testing (UAT) to ensure that functionality is working correctly.
• Deliver solutions into the applicable production environment once testing has been completed.
• Provide stakeholders with regular feedback on the technical design and timelines for solution ensuring that business needs are met.
• Maintain existing databases and applications according to change requests approved by business as and when needed.
• Diagnose root causes of issues through problem-solving and recommend potential solutions.
• Monitor performance of solutions and make recommendations to improve the performance and functionality of the solutions, where appropriate.
• Log issues found in existing systems as internal change controls and ensure successful resolution of issues.

Responsibilities:

Develop, implement and document Business Intelligence Solutions:

• Contribute to the overall data warehouse architecture and database designs.
• Maintain and oversee the administration and maintenance of the data warehouse.
• Develop and maintain Business Intelligence and reporting technologies and processes.
• Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications.
• Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications.
• Develop feasible technical specifications and process flows for data provision activities in support of the development of business intelligence solutions.
• Ensure the continued maintenance and enhancement to existing business intelligence solutions.
• Within user specifications extract, transform and load (ELT) data using the relevant tools.
• Verify and quality assure of data provided.
• Provide support to business intelligence users on data-related issues.

Future development and planning:

• Conduct research and undergo training where appropriate, in order to remain abreast of data enablement trends and understand their application in the short-term insurance industry.
• Assist management and colleagues to make the right decisions in terms of planning future data enablement infrastructure, architecture and applications in the company short-term insurance business, in alignment with the company’s standards and the South African financial services regulatory framework.

Self-management and Teamwork:

• Provide authoritative expertise and advice to colleagues.
• Develop and maintain productive and collaborative working relationships with peers and team members.
• Deliver on Service Level Agreements made with colleagues.
• Continuously develop own expertise in terms of industry and subject matter development and application thereof in an area of specialisation.
• Participate and contribute to a culture of work-centric thinking, productivity, service delivery and quality management.
• Contribute to continuous innovation through the development, sharing and implementation of new ideas and involvement of peers.
• Take ownership for driving career development.

Finance:

• Manage financial and other company resources under your control with due respect.

Competencies:

• Business Acumen.
• Client / Stakeholder Commitment.
• Drive for Results.
• Leads Change and Innovation.
• Motivating and Inspiring Team.
• Collaboration.
• Impact and Influence.
• Self-Awareness and Insight.
• Diversity and Inclusiveness.
• Growing Talent.

Skills:

• Communication – articulating information and challenging ideas.
• Analysing and interpreting data.
• Problem-solving.
• Planning and organising – time and task management.

Experience and Qualifications:

• Relevant IT and data analytics qualifications e.g. B.Tech or B.Sc. (Informatics) – Essential.
• Dimensional modelling and/or relevant Microsoft certification – Advantageous.
• On-the-job training/qualifications:
• Microsoft Sql Server.
• Oracle.
• Power BI.
• Advanced MS Excel.
• Starquest.

Some experience in predictive analytic platforms will be advantageous. These include:

• Python.
• Scala.
• Spark.
• AWS Sagemaker.

Some experience in Azure / AWS platform services will be advantageous. These include:

• Azure SQL elastic instance.
• Data factory.
• PowerBI.
• AWS RDS.

Experience:

• Methodologies.
• The candidate must have ability to elicit data requirements from stakeholders.
• The candidate must have clear documentation skills.

Principles:

• The candidate must be familiar with design patterns in the data development industry.
• The candidate must have a solid understanding of Metadata constructs.
• The candidate must have clear understanding of EDW.
• Knowledge of Domain driven design would be an advantage.
• The candidate must be familiar with the concept of Data Marts.
• The candidate must be familiar with abstraction techniques.

Modelling:

• The candidate must have proven data modelling techniques (3 years).
• The candidate must have knowledge and experience in Ralph Kimball data warehouse modelling (3 years).
• Knowledge of Immon data warehouse modelling techniques would add an advantage.
• The candidate must have data normalization skills most especially the 2nd Normal form.

Data Transportation:

• The candidate must have solid experience of ETL systems.
• The candidate must have solid experience of sourcing, staging and loading.
• The candidate must be familiar with parallel loading principles.
• The candidate must be familiar with source to target mapping.

Development Software:

• The candidate must have advanced knowledge of T-SQL (4 years) and the following concepts.
• Dynamic T-SQL.
• Multi-threading.
• Performance optimisation and tuning.
• The candidate must have practical experience of SQL Server Database Engine (4 years).
• The candidate must have practical experience of MS SSIS ETL software (4 years).
• The candidate must have practical experience of MS SSAS OLAP software (4 years).
• The candidate must have practical experience of MS Visual Studio Data Tools (4 years).
• Knowledge of Database Administration would add an advantage.
• Expert knowledge in configuration of database hardware resources.

Repository type:

• The candidate must be able to source data from different repositories.
• The candidate must be fully acquainted with Microsoft SQL Server repository.
• Knowledge of Data Lake would be an advantage.
• Knowledge of Oracle would be an advantage.
• Knowledge of Hadoop is not essential but will also be an advantage.

Join a leading Financial Services firm in their quest for excellence! Are you a skilled Data Warehousing Specialist seeking an exciting opportunity to make a significant impact? Our client, a prominent player in the financial industry, is actively seeking a talented professional like yourself to join their dynamic team. You will need to establish and lead a world-class data analytics/warehouse capability for the company to enable future needs for advanced analytics and AI.

Maintain and support:

• Existing MIS databases.
• Existing reports and dashboards.
• Existing data warehouses.

Develop, test, deploy, maintain and support: new databases, and reporting, data warehouse and business intelligence applications from high-level business requirements and designs, through the Software Development Life Cycle.

Remain informed about developments and trends in the data enablement field to assist the business to keep its data analytics and management capability up-to-date, and able to meet the future needs of the business in a constantly maturing and increasingly complex short-term insurance industry.

Outputs:

Internal Process:

• Collaborate with Project Managers and Business Leaders to deliver quality, effective management information, data warehouse and business intelligence applications, in line with the agreed development process and business needs.
• Collaborate with stakeholders to gather requirements, conduct analysis and prioritise requests.
• Conduct research and evaluate potential technical solutions to identified business problems.
• Translate business requirements into workable solutions and document solutions into technical specifications, partnering with Business and/or System Analysts when required.
• Design and code new database and analytics functionality using code that is readable, maintainable and reusable.
• Conduct Unit Testing of own code and resolve all issues/queries timeously.
• Contribute to user acceptance testing (UAT) to ensure that functionality is working correctly.
• Deliver solutions into the applicable production environment once testing has been completed.
• Provide stakeholders with regular feedback on the technical design and timelines for solution ensuring that business needs are met.
• Maintain existing databases and applications according to change requests approved by business as and when needed.
• Diagnose root causes of issues through problem-solving and recommend potential solutions.
• Monitor performance of solutions and make recommendations to improve the performance and functionality of the solutions, where appropriate.
• Log issues found in existing systems as internal change controls and ensure successful resolution of issues.

Responsibilities:

Develop, implement and document Business Intelligence Solutions:

• Contribute to the overall data warehouse architecture and database designs.
• Maintain and oversee the administration and maintenance of the data warehouse.
• Develop and maintain Business Intelligence and reporting technologies and processes.
• Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications.
• Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications.
• Develop feasible technical specifications and process flows for data provision activities in support of the development of business intelligence solutions.
• Ensure the continued maintenance and enhancement to existing business intelligence solutions.
• Within user specifications extract, transform and load (ELT) data using the relevant tools.
• Verify and quality assure of data provided.
• Provide support to business intelligence users on data-related issues.

Future development and planning:

• Conduct research and undergo training where appropriate, in order to remain abreast of data enablement trends and understand their application in the short-term insurance industry.
• Assist management and colleagues to make the right decisions in terms of planning future data enablement infrastructure, architecture and applications in the company short-term insurance business, in alignment with the company’s standards and the South African financial services regulatory framework.

Self-management and Teamwork:

• Provide authoritative expertise and advice to colleagues.
• Develop and maintain productive and collaborative working relationships with peers and team members.
• Deliver on Service Level Agreements made with colleagues.
• Continuously develop own expertise in terms of industry and subject matter development and application thereof in an area of specialisation.
• Participate and contribute to a culture of work-centric thinking, productivity, service delivery and quality management.
• Contribute to continuous innovation through the development, sharing and implementation of new ideas and involvement of peers.
• Take ownership for driving career development.

Finance:

• Manage financial and other company resources under your control with due respect.

Competencies:

• Business Acumen.
• Client / Stakeholder Commitment.
• Drive for Results.
• Leads Change and Innovation.
• Motivating and Inspiring Team.
• Collaboration.
• Impact and Influence.
• Self-Awareness and Insight.
• Diversity and Inclusiveness.
• Growing Talent.

Skills:

• Communication – articulating information and challenging ideas.
• Analysing and interpreting data.
• Problem-solving.
• Planning and organising – time and task management.

Experience and Qualifications:

• Relevant IT and data analytics qualifications e.g. B.Tech or B.Sc. (Informatics) – Essential.
• Dimensional modelling and/or relevant Microsoft certification – Advantageous.
• On-the-job training/qualifications:
• Microsoft Sql Server.
• Oracle.
• Power BI.
• Advanced MS Excel.
• Starquest.

Some experience in predictive analytic platforms will be advantageous. These include:

• Python.
• Scala.
• Spark.
• AWS Sagemaker.

Some experience in Azure / AWS platform services will be advantageous. These include:

• Azure SQL elastic instance.
• Data factory.
• PowerBI.
• AWS RDS.

Experience:

• Methodologies.
• The candidate must have ability to elicit data requirements from stakeholders.
• The candidate must have clear documentation skills.

Principles:

• The candidate must be familiar with design patterns in the data development industry.
• The candidate must have a solid understanding of Metadata constructs.
• The candidate must have clear understanding of EDW.
• Knowledge of Domain driven design would be an advantage.
• The candidate must be familiar with the concept of Data Marts.
• The candidate must be familiar with abstraction techniques.

Modelling:

• The candidate must have proven data modelling techniques (3 years).
• The candidate must have knowledge and experience in Ralph Kimball data warehouse modelling (3 years).
• Knowledge of Immon data warehouse modelling techniques would add an advantage.
• The candidate must have data normalization skills most especially the 2nd Normal form.

Data Transportation:

• The candidate must have solid experience of ETL systems.
• The candidate must have solid experience of sourcing, staging and loading.
• The candidate must be familiar with parallel loading principles.
• The candidate must be familiar with source to target mapping.

Development Software:

• The candidate must have advanced knowledge of T-SQL (4 years) and the following concepts.
• Dynamic T-SQL.
• Multi-threading.
• Performance optimisation and tuning.
• The candidate must have practical experience of SQL Server Database Engine (4 years).
• The candidate must have practical experience of MS SSIS ETL software (4 years).
• The candidate must have practical experience of MS SSAS OLAP software (4 years).
• The candidate must have practical experience of MS Visual Studio Data Tools (4 years).
• Knowledge of Database Administration would add an advantage.
• Expert knowledge in configuration of database hardware resources.

Repository type:

• The candidate must be able to source data from different repositories.
• The candidate must be fully acquainted with Microsoft SQL Server repository.
• Knowledge of Data Lake would be an advantage.
• Knowledge of Oracle would be an advantage.
• Knowledge of Hadoop is not essential but will also be an advantage.

Listing reference: atns_000503

Listing status: Online

Apply by: 8 October 2024

Job category: Others: Transport and Logistics

Location: Johannesburg

Contract: Permanent

Remuneration: Market Related

EE position: Yes

ATNS

Applications are invited for the position of Head of Data Management based at Head Office (Bruma). The successful applicant will be reporting to the Chief Technology & Information Officer. Overview: To provide strategic and tactical leadership for the data management function in line with the organisational vision and strategy. To lead and guide the development and utilisation of data systems within the organisation, implementation of policies and processes for ensuring effective data management, and efficient methods to organize, store and analyse data, while maintaining appropriate levels of security and confidentiality. To be a key driver in optimizing data systems, unlocking valuable insights, and supporting data-driven decision-making processes. To use high-level skills in analytics, mathematics, and statistics to draw conclusions according to the data, and report findings to relevant stakeholders for use in various capacities throughout the organisation.

Major Activities

• Develop, implement, and manage a data management strategy to contribute to the overall organisational and departmental strategy.
• Provide in-depth technical expertise for both tactical and operational initiatives.
• Ensure that system performance and service level agreements (SLAs) are set and met.
• Participate in departmental and relevant organisational strategic planning activities.
• Provide thought leadership with regards to the effective management of data and data systems.
• Define and implement data standards, policies and procedures (guide policy and regulate compliance).
• Define data ownership and stewardship (including the data governance structures, roles and responsibilities).
• Develop, implement, and manage the data management and automation policies, procedures and processes aligned to the overall business strategies.
• Ensure compliance with all company policies, standards, and applicable legislative and policy framework.
• Develop, implement, and manage procedures and processes relating to the security, legal handling and sharing of data.
• Analyse and interpret large amounts of data.
• Ensure training on all relevant data management and automation products and service users on the applicable compliance and governance requirements.
• Develop and implement a data risk management framework.
• Conduct regular data security audits and risk assessments.
• Ensure timely compilation and submission of all the required reports (internal and external) to ensure compliance.
• Collaborate with expert teams to design and maintain data architectures that support business needs.
• Evaluate, develop and implement data management tools and technologies including new ways of managing big data like the usage of artificial intelligence and quantum computing.
• Monitor and report on data quality metrics and drive continuous improvement.
• Manage data archival and disposal processes.
• Develop and manage relationships with key stakeholders.
• Conclude SLAs with the various units to ensure business expectations are managed.
• Provide inputs to the departmental budget development process.
• Manage finances in line with business needs and priorities, and within set financial parameters.
• Manage and co-ordinate the data management and automation team to ensure optimal deployment and development of skills.
• Create and maintain a harmonious and effective work environment to support a motivated workforce and a high-performance culture.

Minimum Qualifications

B.Eng. or BSc in Computer Science or related field such as Electronics/Electrical/Computer Engineering/Data Management/Information Systems/Computer Science/Computer Studies/Information Technology/Data Analytics/Data Management/Information Systems.

Post Graduate Degree in Computer Science or related field such as Electronics/Electrical/Computer Engineering/Data Management/Information Systems/Computer Science/Computer Studies/Information Technology/Data Analytics/Data Management/Information Systems.

Systems or related studies will be an advantage.

A seasoned professional with minimum a minimum of 8 years of experience in information technology, data management, and engineering is required, of which at least 5 years must be at the management level within a complex operations environment, preferably air traffic services/air traffic management.

Proven experience in data management, familiarity with database technologies and knowledge of data administration functions.

Familiarity with various tools and technologies to oversee and lead data management initiatives effectively.

About our client:

With a focus on Africa, China, the UK and the US, this global investment firm offers you an opportunity to be involved with a unique approach to responsible investing whilst driving performance and innovation. This client is guided by a philosophy of investing with care and seeks out top achievers who are looking to redefine and shape the future of the investment industry. Our client holds a firm belief that their work goes beyond financial gains and numbers, recognising the impact of their actions on the lives and futures of those they serve. With a specialised focus on emerging markets and a passion for Africa and China, our client offers independent advice, analysis, and reporting services to a diverse range of asset owners, investment managers, hedge funds, private equity firms, service providers, and brokers.

What you will be doing:

1. Retrieve, validate, reconcile, prepare, store, audit, and control data on a daily basis.
2. Address data-related queries and communicate with vendors and providers.
3. Provide feedback to key stakeholders, including the Research and Development team, Analysts, and other data users.
4. Gather and analyse requirements for system enhancements and formulate techniques to ensure high-quality data collection.

What is needed:

1. A relevant tertiary qualification would be beneficial.
2. 1 - 3 years of experience, particularly in working with complex software.
3. Strong MS SQL experience and good understanding of MS Office products.
4. Ability to run and monitor data processes, ensuring data integrity.
5. Identifies and resolves data issues, tracking progress via issue tracking software.
6. Maintains relationships with external service providers.
7. Communicates clearly and politely, both verbally and in writing, to gather necessary information.
8. Ensures the integrity of sensitive data is safeguarded.

What would be beneficial:

1. Data Science Qualification or a SQL Certification.
2. Software Development Life Cycle (SDLC) experience.
3. Experience working in an Agile environment.
4. Power BI experience.

Working Hours:

1. This role requires staff to work one of two shifts (which will alternate between team members). The morning shift ordinarily starts at 06:00am and the evening shift ordinarily ends at 16:45pm.
2. Overtime is required from time-to-time should there be system issues or data delivery issues.

Job ID:

J106808

PS Even if you feel you don't have all the skills listed or if this spec isn't what you are looking for, feel free to send your CV as we probably have other opportunities that could interest you. For a more comprehensive and updated list of opportunities that we have on offer, do visit our website - (URL Removed)

Desired Skills:

1. SQL
2. Data Analysis
3. Agile