64 Data Management jobs in Johannesburg

Overview

Business Segment: Personal & Private Banking

Location: ZA, GP, Johannesburg, 30 Baker Street

Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems.
• Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions.
• Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology
• Experience Required
• Data Monetisation
• Data & Analytics
• 5-7 years
• Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• 5-7 years
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• 5-7 years
• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Overview

Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Provide infrastructure, tools and frameworks that enable end-to-end solutions for business problems.
• Build scalable infrastructure to collect, manage, analyse and visualise data; develop analytical solutions.
• Expand and optimise data and data pipeline architecture; improve data flow and data collection to support data initiatives.
• Collaborate with teams to implement data-informed solutions and insights.

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology
• Experience Required: Data Monetisation, Data & Analytics
• Experience: 5-7 years
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong analytic skills related to working with unstructured datasets.
• Experience building data transformations, structures, metadata, dependency and workload management.
• Proven ability to manipulate, process and extract value from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and scalable big data data stores.
• Working SQL knowledge and experience with relational databases; proficiency in query authoring and familiarity with various databases.
• Experience building and optimizing big data pipelines, architectures and data sets; experience performing root cause analysis to drive improvements.

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification

• Mid-Senior level

• Full-time

• Information Technology

Overview

Business Segment: Insurance & Asset Management

Location: ZA, GP, Roodepoort, Ellis Street 4

This role resides within Standard Insurance Limited Data management and Insights and requires the incumbent to provide data management support to Actuarial, Personal lines, Commercial and Finance. Responsible for data analysis, expanding and optimising data flow and collection to ultimately support data initiatives.

• Type of Qualification: Bachelor’s degree in Statistics, Computer Science, Mathematics, Business, or related field. Advanced degrees or certifications in data analysis, data management
• Other Preferred Qualifications, certifications or professional memberships : Data related certifications, SAS, Microsoft SQL server
• Experience Required: SQL, SAS or any related programming language (knowledge for querying, data extraction, and manipulation across databases.)
• Experience with data visualization tools such as PowerBi
• Basic accounting knowledge
• Business analysis and project management
• Data Quality and metadata management
• Strong analytical and troubleshooting abilities, with a keen attention to detail.
• Ability to think critically and resolve complex data issues efficiently.
• Proven experience identifying and addressing root causes of data discrepancies.

We are seeking a highly skilled Data Management Specialist to join our financial services team. The ideal candidate will play a pivotal role in managing and enhancing data governance, quality, and architecture to support regulatory compliance, business insights, and operational efficiency.

• Develop and implement data management strategies aligned with business objectives and regulatory requirements.

• Establish and maintain data governance frameworks, policies, and standards.

• Monitor and ensure data quality, integrity, and accuracy across systems.

• Collaborate with stakeholders to define data requirements and metadata standards.

• Support the design and implementation of data architecture and integration solutions.

• Manage data lineage, classification, and cataloging processes.

• Drive continuous improvement in data processes and tools.

• Ensure compliance with data protection regulations and financial services standards.

• Bachelors degree in Information Systems, Data Science, or a related field.

• Proven experience in data management within the financial services sector.

• Strong knowledge of data governance, data quality, and metadata management.

• Familiarity with data architecture and regulatory frameworks (e.g., BCBS 239, GDPR, POPIA).

• Proficiency in data management tools and technologies (e.g., Collibra, Informatica, Microsoft Purview).

• Excellent analytical, communication, and stakeholder engagement skills.

• Relevant certifications (e.g., DAMA, DCAM).

• Experience in change management and data-driven digital transformation.

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).

• Strategic Data Leadership:
  • Lead the execution of the enterprise data & analytics strategy, aligned to business priorities.
  • Champion data governance, quality, and compliance, ensuring regulatory alignment.
  • Drive a culture of data-led decision-making across the organisation.
• Data Management & Architecture:
  • Standardise and enforce data input formats, ingestion processes, and cross-unit KPIs.
  • Maintain an enterprise-wide data catalog with transparency on lineage and ownership.
  • Monitor and drive improvements in data quality, consistency, and compliance.
• Analytics Use Case Delivery:
  • Lead and operationalise analytics use cases across Finance, Risk, HR, Compliance, and Actuarial.
  • Embed trusted datasets into daily decision-making processes.
  • Guide analytics teams to align with central governance and standards.
• Governance & Compliance:
  • Define and enforce enterprise-wide data definitions, retention, and lifecycle management.
  • Enhance metadata, lineage, and quality frameworks.
  • Serve as executive sponsor for data privacy and ethical data use.
• Technology & IT Partnership:
  • Collaborate with IT leadership to deliver scalable, secure data pipelines and infrastructure.
  • Influence investment decisions to align with long-term data strategy.
  • Ensure toolsets and architecture support enterprise-wide analytics execution.
• People Leadership:
  • Build, coach, and lead a high-performing data operations team.
  • Foster accountability, collaboration, and continuous improvement.
  • Manage talent, succession, and capacity within the function.

• Bachelors Degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science or a related field (Masters preferred).
• 8+ years experience in data, analytics, or technology roles within insurance, banking, or telecoms.
• 3+ years leadership experience , bridging business and technology.
• Proven expertise in Azure Synapse, SQL, metadata management, and MDM platforms .
• Strong record in delivering enterprise analytics use cases and governance frameworks.
• Deep knowledge of South African data governance and compliance requirements.

• A visionary strategist who anticipates trends and develops long-term solutions.
• Insightful and decisive, with a passion for improving processes and unlocking value.
• An ethical leader who inspires trust, accountability, and collaboration.
• A confident communicator, able to influence at executive and industry level.