Product Manager - Data & AI Delivery

• Job Title / Role: Product Manager - Data & AI Delivery
• Key Skills: AI & Data Products Delivery, Stakeholder Management, Data Product Management
• Experience: 10+
• Location: Acton MA, San Deigo CA, Princeton NJ or Dallas TX
• Shift: General
• Mode: On-Site

We at Coforge are seeking “Product Manager - Data & AI Delivery” with the following skill set:

• Position Summary
• Lead delivery of analytics, AI, and data products from intake through adoption. Own governance, backlog prioritization, stakeholder alignment, and business outcome realization across cross-functional Data & AI delivery pods.

• Key Responsibilities
• Own intake management, ensuring every request includes business decision, decision owner, hypothesis, required data, and success measures.
• Build and maintain MECE question trees and obtain sponsor sign-off before analysis begins.
• Own and prioritize the pod backlog and sequence analytical workstreams.
• Lead delivery cadence including sprint commitments, analytics gates, demos, grooming sessions, and steering reviews.
• Enforce stage-gate governance across Frame, Data Readiness, Explore & Analyze, Build, and Adopt & Sustain phases.
• Monitor blockers and escalate unresolved issues within defined timelines.
• Publish weekly delivery scorecards covering insight velocity, dashboard delivery, compliance, quality, and adoption metrics.
• Own the Definition of Done and validate completion of all governance, adoption, and decommissioning requirements.
• Drive business adoption through user enablement, usage tracking, and enhancement ownership.

Qualifications

• 10+ years of Product Management, Data Product Management, Analytics Delivery, or Program Management experience.
• Demonstrated ownership of executive-facing decision products.
• Experience delivering Data Science, AI, Analytics, or Business Intelligence initiatives.
• Strong knowledge of Agile delivery methodologies and stage-gate governance.
• Excellent written, presentation, and stakeholder communication skills for VP and executive audiences.
• Bachelor’s degree in business, Engineering, Computer Science, Analytics, or related discipline.

• Preferred Qualifications
• Healthcare, Medical Devices, Life Sciences, or other regulated industry experience; MBA or relevant certifications (CSPO, SAFe, PMP) preferred