Principal Data Architect - S/4HANA & Domain Analytics
IS Manager This person a cts as the Architect for Operational Intelligence across two distinct landscapes: our $200M S/4HANA Public Cloud unit and our $6B Legacy ECC core. While these environments run separately, you will implement a consistent 'Agentic Readiness' strategy for both. You will architect the Semantic Data Layers (using SAP Datasphere & SAC) that expose live operational data to the Enterprise AI team, ensuring that AI Agents can interact with our Legacy ECC supply chain just as effectively as our modern S/4 cloud stack. This role will be responsible for defining and executing a roadmap to expose these critical operational datasets to modern AI and analytics platforms, enabling advanced insights, automation, and data‑driven decision making across the enterprise. This role is critical to:
- Modernize Legacy Access: Architect a 'Virtual' Semantic Layer over the $6B ECC landscape. This allows the Enterprise AI team to build Agents that can 'see' into the legacy factory floor without requiring a massive data migration.
- Establish S/4 Standards: Define the 'Clean Core' data patterns for the new S/4 Public Cloud unit, set-ting the standard for how Agents interact with Cloud ERP.
- Bridge the AI Gap: Ensure that the Enterprise AI team has consistent, governed access to both environments, preventing our legacy core from becoming a 'Data Black Hole' during the AI transformation
- Shaping the Semantic Architecture: Leading the strategy for the SAP Datasphere and SAC layer. You define how the business consumes operational data directly from the ERP, creating a virtual "Single Source of Truth" that shields the business from the complexity of underlying table structures.
- Bridging ERP & Enterprise AI: Acting as the Federation Architect who enables data exchange between our ERP Core and the Corporate Data Platforms (Snowflake, Enterprise AI). You do not manage the Snowflake infrastructure; instead, you ensure that Supply Chain and Finance data is modeled, clean, and "Contract-Ready" for the Enterprise team to ingest.
- Defining the Governance "Decision Tree": Building the central reporting catalog and ownership structure. You establish the clear rules of engagement: guiding the business on when to use Operational Reporting (Datasphere/SAC) for real-time action versus when to turn to the Enterprise Data Lake (Snowflake) for aggregated strategic analysis.
- Enabling Agentic AI: Defining the data accessibility models for the SAP landscape. You ensure that our ERP data is not just "human-readable" on dashboards but is "Machine-Readable" via APIs and Semantic Views, preparing our landscape for AI Agents that require structured, real-time context.
- The "Semantic Architect": 8-12 years in data architecture. You are a Modeler, not a Report Developer. You think in "Semantic Layers," "Reusability," and "Data Products," not just "Dashboards."
- The "S/4 Builder": Expert-level, hands-on experience with SAP Datasphere (formerly DWC) and SAP Analytics Cloud (SAC). You have at least one full S/4HANA implementation under your belt and understand CDS Views and OData services deeply.
- The "Domain Expert": You speak the language of the Physical Supply Chain. You know the difference between a "Material Document" and a "Financial Posting," and you can translate complex logistics operations into clean data models.
- The "Federation Thinker": Strong proficiency in Snowflake data modeling and SQL. You must speak both "SAP" (CDS Views, Extractors) and "Cloud Native" languages to bridge the two worlds.
- The "AI Ready" Mindset: Understanding of AI/ML data models and how to architect data for automation. You know what it takes to make data "Contract-Ready" for an AI Agent.
- The "Strategic Communicator": Proven ability to define a roadmap and communicate it to C-Level stakeholders. You don't just build technical solutions; you define the Data Strategy that guides the business.
- Ownership & Autonomy: This is a role for a self-starter who wants to own the Data Strategy, not just execute tickets. You will have a seat at the table to define the "Single Source of Truth."
- Build the Future: This is a rare "Greenfield" opportunity to build a Modern Data Fabric from the ground up using the latest SAP stack (Datasphere, SAC). You aren't here to patch legacy code; you are here to build the Age-tic Data Blueprint for the next decade.
- Global Impact: You will be the architect behind our "Lighthouse" program. The standards you set today for the S/4 Public Cloud will become the roadmap for our entire $6B North American operation. It's a complex, intellectual challenge where your work directly shapes the future of the enterprise.
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