Sr . AI Architect, Greenwald

Senior AI/ML Architect– Customer-Facing, Strategic Role

We are seeking a Senior Data&Analytics Architect to serve as a customer-anchoring, consultative leader. This role combines deep architectural expertise with strong commercial and stakeholder-shaping capability. The architect will co-create the current-to-future state data, analytics, and AI vision, anchor senior customer conversations, and directly enable downstream solutioning and delivery opportunities for Wipro. This is not a pure design role—it requires ownership of the narrative, influence, and commercial outcomes.Anchor and lead customer discussions with IT and Business teams. Understand, document, and rationalize the current-state data and analytics landscape. Co-create a future-state / target architecture covering: Unified data foundation Data integration layer Analytics, dashboards, and reporting AI-enabled insights and communicationAddress core LPF (Large Product Fulfilment) challenges: Lack of end-to-end visibility across product fulfilment lifecycle Data silos and failed prior“lighthouse” approaches Shape AI-enabled use cases (forecasting, decision intelligence, communication). Translate architecture into sized, phased delivery opportunities.Partner with sales and delivery teams to ensure downstream revenue capture. Serve as a long-term embedded advisor, providing continuity across change. 12–18+ years of experience in data, analytics, or platform architecture roles. 8+ years in customer-facing / consultative engagements. Proven experience shaping enterprise-scale data and analytics transformations.Demonstrated success influencing senior stakeholders and anchoring solution conversations. Strong current-state to target-state architecture design capability. Deep understanding of: Data engineering and integration Analytics and reporting platforms AI / advanced analytics concepts Commercial mindset—comfortable owning solution visioning, sizing, and positioning.Executive-level communication and storytelling skills. Retail, supply chain, or fulfilment analytics experience. Exposure to forecasting and planning platforms (e.g., o9, Relex). Experience operating in fast-evolving, ambiguous environments. Directly impacts Customer’s data and analytics strategy.Critical to prevent architecture-only handoff and ensure Wipro captures downstream delivery. Addresses foundational challenges: End-to-end visibility Data silos AI-enabled integration and communication Designed as a long-term strategic investment, not temporary coverage. Trusted architect and advisor to Wipro&Customer leadership. Clearly defined and adopted target-state architecture. Pipeline of well-shaped, executable delivery opportunities. Improved business visibility and analytics adoption. Strong Wipro positioning as a strategic Data&AI partner.