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Build and maintain Databricks data pipelines, ETL/ELT processes, SQL transformations, and Power BI dashboards for HR and People Analytics. Ensure data quality, optimize models and reporting performance, troubleshoot issues, document solutions, and collaborate with HR stakeholders and technical teams to deliver scalable workforce analytics.

Designs, configures, and deploys SAP Controlling capabilities across S/4HANA Finance landscapes. Supports cost and profit centre accounting, internal orders, allocations, Universal Journal integration, Group Reporting, financial master data, reporting, testing, migration, reconciliation, and cutover activities. The role also contributes to Finance transformation programs and requires strong FI integration experience.

Leads end-to-end SAP ECC to S/4HANA transformation programs, including Brownfield, Greenfield, and selective data transition approaches. Owns scope, schedule, budget, governance, risks, resources, vendors, stakeholder engagement, cutover, Go-Live, and Hypercare. Drives RISE with SAP adoption, SAP Activate delivery, fit-to-standard workshops, clean core principles, cloud alignment, and business value realization across complex global, multi-workstream programs.

Develop and deploy advanced data science and machine learning solutions using healthcare datasets in Azure Databricks. Build data pipelines, analytical models, predictive analytics, dashboards, and reporting models while ensuring data quality, governance, and compliance. Collaborate with stakeholders and technical teams, support AI/ML deployment and monitoring, and contribute to continuous improvement across cloud analytics platforms.

Develop and migrate complex Qlik applications and dashboards to Amazon QuickSight. Analyze existing data models and reporting logic, rebuild business rules and visualizations, validate accuracy, optimize performance, troubleshoot issues, document technical designs, and support user acceptance testing. The role requires stakeholder engagement, requirements gathering, risk management, and independent delivery of enterprise BI migration outcomes.

Owns business requirements from elicitation through delivery and acceptance. Translates stakeholder needs into functional and technical specifications, process models, data mappings, interface definitions, acceptance criteria, and traceability documentation. Partners with architects, developers, testers, and business stakeholders to validate feasibility, support build and UAT, manage defects and changes, and maintain alignment on scope, dependencies, risks, and trade-offs.

Leads enterprise-scale technology and digital transformation projects from initiation through implementation and closure. Responsibilities include planning schedules and budgets, managing risks, dependencies, vendors, and cross-functional teams, coordinating technical and business stakeholders, facilitating executive governance, and ensuring successful adoption and business outcomes. Strong Databricks, Microsoft Project, data and analytics delivery experience is required, with retail-sector experience advantageous.

Owns end-to-end SAP cutover strategy, planning, rehearsals, go-live execution, command-center operations, and transition to hypercare for an ECC to S/4HANA transformation. Coordinates business, technical, infrastructure, security, data, and testing teams while managing dependencies, risks, readiness criteria, governance, reporting, and Go/No-Go decisions. Supports the SAP Programme Manager with stakeholder engagement, executive reporting, resource coordination, issue resolution, and delivery assurance.

Design, develop, and maintain ETL processes, data pipelines, SQL queries, and database solutions for a critical SAP project. Integrate data across enterprise systems, ensure data quality, troubleshoot issues, and support migration, testing, deployment, and go-live activities. Collaborate with stakeholders and technical teams in a primarily remote enterprise environment, with approximately one week on-site in Johannesburg during go-live.

Leads SAP Master Data Governance for an S/4HANA transformation program, including governance strategy, solution design, workflows, integrations, data quality, testing, deployment, training, and adoption. Serves as the primary liaison among business stakeholders, data owners, governance teams, and offshore delivery teams. Requires deep SAP MDG expertise, banking industry experience, stakeholder leadership, and extensive SAP experience.