Job description
Role Overview
SAP Data & Analytics Architect - Senior Manager will lead enterprise-wide data transformation initiatives leveraging SAP’s modern analytics stack, including SAP Business Data Cloud (BDC), SAP Datasphere, SAP Analytics Cloud (SAC), and SAP HANA Cloud.
This role requires a blend ofsolution architecture, client advisory, delivery oversight and ensuring scalable, high-quality data and analytics solutions aligned with business goals.
Key Responsibilities:
Strategy & Leadership
1. Define and drive SAP Data & Analytics strategy aligned to business transformation goals.
2. Lead large-scale digital transformation programs involving SAP BDC, Datasphere, SAC, AI and enterprise cloud data platforms.
3. Act as a trusted advisor to senior stakeholders.
4. Establish best practices, governance frameworks, and delivery standards.
Solution Architecture & Design
5. Architect end-to-end data platforms using:
6. SAP BDC for unified data ecosystem and business context integration
7. SAP Datasphere for data modeling, federation, and virtualization
8. SAP SAC (BI & Planning) for reporting, dashboards, and enterprise planning
9. SAP BDC Connect and Data Products framework
10. Intelligent Applications and Data Packages
11. Medallion Architecture (including HANA cloud)
12. AI enablement.
13. Design data models (Analytical, Semantic, Business Layer) aligned with business KPIs.
14. Define data integration strategies (real-time, batch, hybrid) using SAP and non-SAP sources.
15. Operational Reporting:
16. S/4 HANA Embedded Analytics, VDM, CDS Views, Extensions, Custom CDS Views.
17. SuccessFactors Reporting, Domains and custom fields enablement.
18. Ensure scalability, performance optimization, and data governance compliance.
Integration & Ecosystem
19. Integrate SAP and non-SAP systems including:
20. SAP S/4HANA, SuccessFactors, IBP, BW/4HANA, ECC etc.
21. Non-SAP systems
22. Third-party and cloud data platforms (Azure, AWS, Databricks etc.)
23. Leverage APIs, OData, and data pipelines.
24. Understand different migration paths of S/4 transformation journey.
25. Enable real-time analytics and event-driven architectures.
Delivery & Program Management
26. Lead SAP Analytics implementations end-to-end: Requirement gathering, Workshops and Playback sessions, Solution design, Build, Validate and deployment.
27. Oversee Agile/Hybrid delivery models.
28. Manage risks, dependencies, and stakeholder expectations.
Pre-Sales & Thought Leadership
29. Support business development: Solution proposals, Client presentations, RFP responses
30. Contribute to innovation in: AI-driven analytics, Embedded analytics, Data monetization strategies
31. Build reusable assets, accelerators, and frameworks.
Required Skills & Experience:
Functional Expertise
32. Strong understanding of: Financial Planning & Analysis (FP&A), Supply chain Analytics, Sales and Operational Analytics
33. Experience designing end-to-end Analytics & Planning solutions.
Qualifications
34. SAP Certifications (preferred): SAP Business Data Cloud, SAP Analytics Cloud, SAP Datasphere, SAP BW/4HANA
35. Relevant industry certifications in cloud/data platforms are a plus.
36. Bachelor’s or Master’s degree in IT, Computer Science, Data Analytics, or related field.
Experience
37. 10–15+ years of experience in SAP Data & Analytics.
38. 5+ years in leadership or senior management roles.
39. Proven track record delivering large-scale SAP analytics transformations.
Preferred Attributes
40. Experience in multi-industry environments (e.g., Retail, Life Sciences, Manufacturing, Finance).
41. Exposure to AI/ML integration in analytics.
42. Strong consulting background (Big 4 or global system integrators).
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