Senior Manager, Data Product Strategy & Analytics

Overview

Own a portfolio of enterprise-critical Tier 1 data and analytics products from strategy and discovery through delivery, adoption, service performance, and value realization, connecting executive priorities to product roadmaps.

What you'll do

• Own the vision, value proposition, target users, product criticality, investment priorities, outcome metrics, and multi-horizon roadmaps for the company's most important data and analytics products, balancing run, grow, and transform priorities.
• Lead stakeholder interviews, user research, decision-journey and process analysis, and opportunity sizing.
• Translate important business questions into product requirements, priorities, roadmaps, success measures, and an ongoing improvement agenda.
• Define business-critical expectations for accuracy, freshness, consistency, usability, adoption, and support.
• Partner with the Data Engineering team on availability, incident response, and technical remediation while maintaining transparent product-health reporting.
• Establish clear ownership, shared definitions, lineage, and quality expectations for each product.
• Partner with Data Governance, Security, Privacy, and IT to ensure access, retention, and control requirements are appropriately addressed.
• Identify where predictive analytics, generative AI, intelligent decision support, or automation can improve a user outcome, and shape prototypes and scalable solutions with clear evaluation measures, monitoring, explainability, controls, and human oversight.
• Act as a trusted execution partner to senior leaders, translating priorities into product investments, workstreams, owners, milestones, and decision forums; manage risks and dependencies; and prepare concise business cases, executive updates, and recommendations.
• Lead launch, enablement, communications, and stakeholder engagement; build feedback loops and measure adoption, satisfaction, decision effectiveness, productivity, revenue, cost, and risk outcomes.
• Lead and develop product managers, analysts, and program resources, creating shared accountability across data engineering, analytics, architecture, governance, business teams, and vendors; resolve trade-offs and sustain predictable, high-quality delivery.

What you'll need

• 15+ years of progressive experience across data and analytics, data-product management, strategic program leadership, transformation, or closely related roles, including leadership of complex enterprise initiatives.
• 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.
• Applied AI fluency, including the ability to identify valuable use cases, assess data readiness and risk, shape user and control requirements, and validate adoption and outcomes in partnership with technical teams.
• Experience defining business expectations and measures for accuracy, freshness, usability, adoption, stakeholder satisfaction, and value, while partnering with technical owners on availability, service levels, and support models.
• Track record of leading multidisciplinary teams and influencing senior executives, business owners, technical leaders, and global partners through competing priorities, risks, dependencies, and decisions.
• Strong commercial, financial, written, verbal, and visual communication skills, including opportunity sizing, business cases, resource planning, executive reporting, and concise product storytelling.

Details

• Primarily an in-office role: expected to work from the {{OFFICE_LOCATION}} office in compliance with company policies, unless on PTO, work travel, or other approved leave.
• Hands-on engineering, architecture, or platform administration is not required.