Principal Product Manager, Data Products

EDO; New York (NY); On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

Flexible Time Off

Medical, dental, and vision coverage

401(k) plan

Employee meals and snacks

Job summary

A technology data company in New York is looking for a Principal Product Manager, Data Products to define and manage the roadmap for core data products. This role involves cross-functional leadership and requires 8-12 years of product management experience focusing on data platforms. The position compensates competitively, with a salary range of $170,000-$200,000, and includes equity options and flexible time off.

Qualifications

• 8-12 years of product management experience focusing on data products.
• Proven track record of scaling data systems.
• Excellent communication skills for technical and business audiences.

Responsibilities

• Define and own the roadmap for core data products.
• Lead the development of data models that support various use cases.
• Establish standards for data quality and reliability.

Skills

Product Management

Data Modeling

Cross-functional Leadership

Technical Fluency

Data Governance

Tools

Snowflake

Job description

The Role

As a Principal Product Manager, Data Products at EDO, you will own the strategy, development, and evolution of EDO’s 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 EDO’s 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.

What You Will Do

• Define and own the roadmap for EDO’s 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 EDO’s 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
• 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 $170,000-$200,000 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.

Equal Opportunity Employer

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.