Sr. Data Product Manager

*PLEASE NOTE: This role requires the candidate to be in or near Charlotte, NC. In-office presence is required three days a week. Additionally, this position does not offer visa sponsorship.*

Overview 

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. This role is critical in transforming our organization from treating data as an IT byproduct to managing data as a strategic asset through the creation of scalable, trusted data products that drive decision-making and measurable business outcomes.   

We are looking for someone with a strong background as an analytics or data practitioner who understands how data is used in the real world and can translate business needs into products that deliver insights, not just data. You will define and curate data products that enable the business to better understand performance, unlock new opportunities, and operationalize data across teams.   

This role serves as the strategic bridge between business stakeholders and enterprise data teams, ensuring that data capabilities are designed holistically, built for reuse and scale, and aligned to clear business value. You will play a key role in enabling next-generation self-service BI and AI capabilities by making data more accessible, reliable, and actionable. 

The ideal candidate is a change agent who challenges the status quo, breaks down organizational silos, and relentlessly advocates for new ways of working to ensure data is effectively leveraged to drive business impact. 

This is not a project management, Scrum Master, or delivery coordination role. This is also not a data architect or data engineering role.  This is a strategic product leadership role focused on driving meaningful change in how data is used across the organization.  It defines what should be built and why, partnering closely with data teams who own execution and delivery. 

 Key Responsibilities 

Strategic Partnership & Business Alignment  

• Develop deep domain expertise to serve as a trusted SME and thought partner for business and analytics teams, identifying opportunities where data products can drive measurable outcomes and competitive advantage  

• 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 

• Partner with stakeholders to deeply understand business goals, decision-making processes, and pain points, translating them into clear data product opportunities  

• 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 

Data Product Portfolio Management 

• 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  

• Operate effectively in ambiguous environments where data, requirements, or ownership may be incomplete or evolving 

• 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  

Governance & Compliance Partnership