Description:
The Data Architect will lead the assessment and design of customer’s data landscape to enable seamless integration with SAP S/4HANA, SAP Analytics Cloud (SAC), and evaluate the potential introduction of SAP Datasphere for advanced data management and decision-making. This role involves assessing current data flows, defining integration strategies, and developing functional specifications to ensure scalability and alignment with future reporting and planning requirements.
Your responsibilities:
- Data Landscape Assessment: Analyze existing data sources. Document current ingestion processes and identify gaps in automation and standardization.
- Data Readiness Evaluation: Assess completeness, accuracy, consistency, and timeliness of data across actuarial, investment, and policy administration domains. Develop a readiness scorecard for each data stream.
- Integration Design: Define source-to-target mappings for S/4HANA and SAC. Establish business transformation rules, validation logic, and exception handling procedures. Recommend ETL/MDH-based harmonization strategies.
- SAP Datasphere Assessment: Evaluate the feasibility and benefits of introducing SAP Datasphere for unified data access and governance. Define scenarios where Datasphere can enhance decision-making and analytics.
- Governance & Compliance: Ensure data architecture aligns with Solvency II, ORSA, AML, and internal governance policies. Define data ownership and stewardship models.
- Documentation & Deliverables: Prepare functional specification documents for each data stream. Create integration architecture diagrams and roadmap for automation.
Your Profile
Essential skills/knowledge/experience:
- Technical Expertise: Strong knowledge of SAP S/4HANA, SAP Analytics Cloud, SAP Datasphere, and large data lake, ex. Snowflake MDH. Experience with ETL tools, APIs, and data integration frameworks. Proficiency in data modeling and architecture design.
- Domain Knowledge: Familiarity with insurance industry data (actuarial, investment, policy administration). Understanding of regulatory requirements (Solvency II, ORSA).
- Soft Skills: Excellent documentation and stakeholder communication skills. Ability to work in a multi-vendor, cross-functional environment.
Desirable skills/knowledge/experience:
- 8+ years of experience in data architecture and integration projects.
- Prior experience in BFSI or insurance domain.
- SAP certifications in data integration or analytics (preferred).