We are seeking a Senior Data Product Manager to translate business strategy into a roadmap of data capabilities and design and manage a set of enterprise data products.
Requirements
- Develop deep domain expertise to serve as a trusted SME and thought partner for business and analytics teams
- Find gaps in internal data availability or maturity by uncovering where data is needed but missing, or where data is over-invested but not needed
- Balance competing priorities across business stakeholders, think critically about how to prioritize work when resources are constrained, and clearly explain prioritization rationale
- Challenge assumptions and influence stakeholders to adopt data-driven approaches, even when it requires shifting existing processes or mindsets
- Bridge the gap between business and technical teams by translating complex data concepts into actionable business insights and vice versa
- Advocate for a product-centric approach to data, helping shift the organization from ad hoc analytics to scalable, reusable data solutions
- Align data product priorities with enterprise strategy, ensuring efforts are focused on the highest-value use cases
- Drive cross-functional collaboration, breaking down silos to ensure data products are adopted, trusted, and embedded into business workflows
- Act as a thought partner to both technical and non-technical leaders, influencing teams to think about data products as re-usable assets, not one-off solutions
- Balance long-term vision with pragmatic execution by identifying quick wins that demonstrate value, while iteratively advancing toward more transformative, enterprise-scale solutions
- Define and manage a portfolio of enterprise data products, ensuring alignment to business priorities, strategic objectives, and measurable outcomes
- Own prioritization of data products and build roadmaps that outline product vision, key milestones, dependencies, and delivery timelines
- Communicate roadmap progress, trade-offs, and priorities to business stakeholders and senior leadership, ensuring transparency and alignment
- Ensure data products are not only delivered, but adopted—partnering with the business to embed data into workflows, decision-making processes, and day-to-day operations
- Present data product plans in terms of business value, clearly articulating expected outcomes, timelines, and return on investment
- Partner with cross-functional teams to sequence initiatives effectively, balancing capacity, dependencies, and evolving business needs
- Establish and track success metrics for data products, including adoption, usage, and realized business value
- Continuously evaluate portfolio performance, identifying opportunities to optimize, scale, or sunset products based on impact and relevance
- Create feedback loops with stakeholders and end users to inform roadmap adjustments and ensure products remain aligned to business needs
- Drive accountability for delivering outcomes—not just outputs—by ensuring data products are actively used and delivering intended value
- Partner with governance, legal, and risk teams to ensure data products meet enterprise standards for privacy, security, and regulatory compliance
- Ensure governance is embedded within data products through clear ownership, stewardship, and accountability—not treated as a separate process
- Establish and uphold clear standards for data quality, metric definitions, and data contracts to ensure consistency and trust across the organization
- Identify and recruit appropriate business data owners and stewards for each data product, ensuring accountability for accuracy, definition, and usage
- Ensure data products are well-documented, with clear definitions, lineage, and ownership to support transparency and usability
- Collaborate with data engineering and analytics teams to embed governance practices into the development lifecycle, not as an afterthought
- Monitor and address data quality issues, working with stakeholders to prioritize fixes that impact business trust and decision-making
- Advocate for a “trusted data” mindset, where governance is viewed as an enabler of better decisions—not a blocker to progress
Benefits
- Medical, dental, and vision insurance
- 401(k) matching
