The Senior Manager, Data & Analytics Products owns a portfolio of enterprise-critical Tier 1 products from strategy and discovery through delivery, adoption, service performance, and value realization.
Tier 1 insights product portfolio strategy. Own the vision, value proposition, target users, product criticality, investment priorities, outcome metrics…
Discovery and product lifecycle. Lead stakeholder interviews, user research, decision-journey and process analysis, and opportunity sizing. Translate important business questions into product requirements…
Product reliability and performance. Define business-critical expectations for accuracy, freshness, consistency, usability, adoption, and support. Partner with Data Engineering team on availability…
Trusted data and governance. Establish clear ownership, shared definitions, lineage, and quality expectations for each product. Partner with Data Governance, Security, Privacy…
Demonstrated ownership of enterprise-critical data, analytics, reporting, master-data, or AI products from strategy and business case through delivery, operations, adoption, and measurable impact.
Strong product-management fundamentals across portfolio strategy, discovery, prioritization, roadmaps, stakeholder governance, product performance, adoption, experimentation, and value realization.
Sufficient technical fluency to translate business needs and make informed trade-offs with Data Engineering, Architecture, Security, and platform teams. Hands-on engineering, architecture…
Applied AI fluency, including the ability to identify valuable use cases, assess data readiness and risk, shape user and control requirements…
Experience: Senior-level · 15+ years
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