Principal Product Manager, Data Products

Who We Are

EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact optimize creative performance and know the fair value of every impression across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI EDO equips industry leaders with syndicated investment-grade data that aligns media to business results with detailed competitive category and historical insights. Leading brands agencies networks streamers and studios trust EDOs TV intelligence to know what works.

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To learn more about the work we do at EDO please visit EDO Press.

The Role

As a Principal Product Manager Data Products at EDO you will own the strategy development and evolution of EDOs core data products the foundational datasets metrics and data models that power our analytics measurement and client-facing applications.

You will sit at the center of Product Data Science and Engineering ensuring that EDOs data is reliable scalable and usable across the organization. You will define how raw data is transformed into structured governed and reusable data assets that enable both internal teams and client-facing products.

This role sits at the intersection of Media Analytics Data Science and Engineering with broad influence across teams. You will lead through both direct ownership and cross-functional alignment setting standards driving consistency and ensuring that EDOs platform delivers consistent high-quality data that can scale across use cases clients and products.

What You Will Do

Data Product Strategy & Ownership

• Define and own the roadmap for EDOs core data products including datasets data models and metric layers.
• Establish a clear strategy for how data is structured standardized and reused across the platform.
• Partner with Engineering and Data Science to prioritize and deliver scalable data capabilities.

Data Modeling Metrics & Semantic Layer Leadership

• Own the definition and evolution of core metrics dimensions and semantic layers.
• Ensure consistency of definitions across analytics measurement modeling and client-facing products.
• Lead the development of scalable extensible data models that support a wide range of use cases.

Data Quality Reliability & Observability

• Establish and enforce standards for data quality validation and monitoring across all data products.
• Partner with Engineering to define SLAs/SLOs for data reliability and pipeline performance.
• Drive improvements in data observability lineage and debugging capabilities.
• Ensure trust and auditability of EDOs data for both internal and external stakeholders.

Platform Enablement & Self-Service

• Define the strategy for enabling self-service data access across Product Data Science Client Analytics and Operations.
• Build data products that reduce friction and accelerate time-to-insight.
• Drive adoption of standardized data assets and reduce reliance on bespoke or duplicated solutions.
• Enable downstream product teams to build faster on top of well-defined data foundations.

Cross-Functional Leadership

• Act as the connective tissue across Product Data Science Engineering and Client Analytics.
• Lead complex cross-team initiatives that span multiple systems and domains.
• Influence without authority aligning teams on shared goals standards and tradeoffs.
• Mentor and elevate other product managers working on data and platform initiatives.

Governance & Standardization

• Establish and scale governance frameworks for:
• Metric definitions and naming conventions
• Data access permissions and privacy
• Data product lifecycle ownership and versioning
• Drive standardization across teams to reduce fragmentation duplication and inconsistency.
• Balance governance with velocity enabling teams to move quickly while maintaining quality.

What We Are Looking For

• 8-12 years of product management experience with significant focus on data platforms data products or analytics systems.
• Proven track record of defining and scaling platform-level or company-wide data systems.
• Deep understanding of: Data modeling and warehousing (e.g. Snowflake) Data pipelines and ETL/ELT architectures metrics semantic layers and analytics frameworks
• Strong technical fluency with the ability to engage deeply with engineers and data scientists on system design and tradeoffs.
• Experience driving cross-functional alignment in complex ambiguous environments.
• Demonstrated ability to influence senior stakeholders and drive strategic decisions.
• Experience establishing data governance standards and best practices at scale.
• Strong product judgment with the ability to balance long-term platform investments and short-term business needs.
• Excellent communication skills with the ability to translate between technical and business audiences.

Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan FSA HSA
• Commuter Benefits
• When in an office employee meals snacks and more.

In compliance with New York and California Pay Transparency Law the salary range for this position is $170000-$200000 plus equity. We note the salary information as a general guideline only as actual compensation may vary from posting. We will consider various factors to determine the offer for this role including the scope and responsibilities of the position relevant work experience key skills training and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race color ethnicity ancestry national origin religion sex gender gender identity gender expression sexual orientation age disability veteran status genetic information marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.