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 of solution architecture, client advisory, delivery oversight and ensuring scalable, high-quality data and analytics solutions aligned with business goals. Key Responsibilities: Strategy & Leadership Define and drive SAP Data & Analytics strategy aligned to business transformation goals. Lead large-scale digital transformation programs involving SAP BDC, Datasphere, SAC, AI and enterprise cloud data platforms. Act as a trusted advisor to senior stakeholders. Establish best practices, governance frameworks, and delivery standards. Solution Architecture & Design Architect end-to-end data platforms using: SAP BDC for unified data ecosystem and business context integration SAP Datasphere for data modeling, federation, and virtualization SAP SAC (BI & Planning) for reporting, dashboards, and enterprise planning SAP BDC Connect and Data Products framework Intelligent Applications and Data Packages Medallion Architecture (including HANA cloud)AI enablement.Design data models (Analytical, Semantic, Business Layer) aligned with business KPIs.Define data integration strategies (real-time, batch, hybrid) using SAP and non-SAP sources.Operational Reporting: S/4 HANA Embedded Analytics, VDM, CDS Views, Extensions, Custom CDS Views. SuccessFactors Reporting, Domains and custom fields enablement. Ensure scalability, performance optimization, and data governance compliance. Integration & Ecosystem Integrate SAP and non-SAP systems including: SAP S/4HANA, SuccessFactors, IBP, BW/4HANA, ECC etc. Non-SAP systems Third-party and cloud data platforms (Azure, AWS, Databricks etc.) Leverage APIs, OData, and data pipelines.Understand different migration paths of S/4 transformation journey.Enable real-time analytics and event-driven architectures. Delivery & Program Management Lead SAP Analytics implementations end-to-end: Requirement gathering, Workshops and Playback sessions, Solution design, Build, Validate and deployment. Oversee Agile/Hybrid delivery models. Manage risks, dependencies, and stakeholder expectations. Pre-Sales & Thought Leadership Support business development: Solution proposals, Client presentations, RFP responses Contribute to innovation in: AI-driven analytics, Embedded analytics, Data monetization strategies Build reusable assets, accelerators, and frameworks. Required Skills & Experience: Functional Expertise Strong understanding of: Financial Planning & Analysis (FP&A), Supply chain Analytics, Sales and Operational Analytics Experience designing end-to-end Analytics & Planning solutions. Qualifications SAP Certifications (preferred): SAP Business Data Cloud, SAP Analytics Cloud, SAP Datasphere, SAP BW/4HANA Relevant industry certifications in cloud/data platforms are a plus. Bachelor’s or Master’s degree in IT, Computer Science, Data Analytics, or related field. Experience 10–15 years of experience in SAP Data & Analytics. 5 years in leadership or senior management roles. Proven track record delivering large-scale SAP analytics transformations. Preferred Attributes Experience in multi-industry environments (e.g., Retail, Life Sciences, Manufacturing, Finance). Exposure to AI/ML integration in analytics. Strong consulting background (Big 4 or global system integrators). LI-EH1 Proud member of the Disability Confident employer scheme Disability Confident About Disability Confident A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident .