Position: Product Manager - Data & AI Delivery
Location: San Jose CA/ Remote
Duration: contract
Rate: DOE
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.