Sr. Data Product Manager

LendingTree•Charlotte, NC

4d•$140,000 - $170,000•Hybrid

About The Position

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.

Requirements

8–10 years of experience working in data and analytics as a consumer and/or power user of data.
Demonstrated experience building and managing roadmaps with cross-functional dependencies.
Experience presenting strategy, roadmaps, and business cases to senior leadership.
Working knowledge of analytics and reporting pipeline architecture to inform product scoping and trade-off discussions.
Strong ability to define product requirements that align business goals, user needs, and system constraints
Experience managing customer data lifecycle initiatives (e.g., customer identity graph, CDP use cases, identity resolution).
Experience working with digital marketing data and tools.

Nice To Haves

Experience partnering with governance, legal, or compliance teams to ensure responsible data solutions.
Familiarity with modern BI, data platform, and AI enablement architectures.
Experience operating in a data-mature enterprise environment with shared services teams.

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
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