Senior Manager, Product Management – Data Integrations

Comscore • New York City, NY

12h • Hybrid

About The Position

Comscore is building the industry’s leading audience measurement platform—where shared foundations (identity, metadata, methodology, and delivery surfaces) are reused across products in a unified, interconnected measurement platform; and partners can integrate once and scale across workflows. The Senior Manager, Product Management – Data Integrations (Platform) is the single-threaded owner for third-party data integrations that power advanced audience onboarding/activation and measurement workflows with key ecosystem partners—such as data and identify partners, agency holding companies, and sell-side distributors. This role is a hands-on technical product leader: you will define integration patterns, data contracts, partner-facing capabilities, and operational standards that allow integrations to be repeatable, observable, and scalable. This is not a “generalist” role. It is a Platform PM role with deep accountability for data integrity, schemas/contracts, delivery reliability, and partner technical execution.

Requirements

• 5+ years of Product Management experience, including prior ownership of data-heavy, technical products.
• Demonstrated experience working directly with external partners in ad tech / media / measurement ecosystems—ideally including agency holdcos and/or sell-side distributors (or adjacent partners like identity/data providers).
• Strong, practical SQL skills with the ability to independently query and validate datasets and outputs; Snowflake experience strongly preferred (or equivalent depth in PostgreSQL/MySQL plus clear Snowflake exposure).
• Proven capability in data analysis: investigating anomalies, validating business logic, reconciling outputs to expected schemas, and communicating findings clearly.
• Experience defining data contracts (schemas/definitions/versioning), and collaborating with Engineering on data pipelines, APIs, and delivery mechanisms.
• Strong familiarity with advanced advertising workflows and the audience/measurement space (e.g., advanced audiences, activation/measurement loops, outcomes required by agencies and sell-side partners).
• Comfort operating in environments where delivery may require governance controls and privacy-safe approaches (e.g., clean rooms / restricted extraction patterns).
• Ability to translate ambiguous partner needs into crisp product definitions, sequencing, and launch plans—while making tradeoffs explicit and protecting platform integrity.
• Strong stakeholder communication: partner-facing clarity, internal alignment, and executive-ready status/risk communication.

Nice To Haves

• Direct experience integrating with or supporting workflows for partners in the data and identify partner / agency holdco / major broadcaster ecosystem.
• Experience with delivery in/through Snowflake (data shares), and/or clean room patterns where outputs are aggregated and privacy-safe.
• Familiarity with end-to-end integration validation practices (onboarding → query validation → Snowflake delivery verification).
• Experience with data observability/quality tooling and operational readiness practices (monitoring, SLIs/SLOs, incident reduction).

Responsibilities

• Build and run the Data Integrations product roadmap: Define the integration roadmap as durable platform capabilities (not one-off partner projects), including standardized onboarding, data contracts, validation, delivery, and monitoring. Maintain a prioritized backlog with Engineering, grounded in partner value, platform reuse, and clear operational success metrics (SLAs, defect rates, time-to-integrate).
• Partner-facing technical product leadership: Serve as the product owner for technical integration relationships: partner technical discovery, data mapping, delivery design, rollout planning, and ongoing change management. Translate partner workflows into explicit producer–consumer contracts (schemas, definitions, access approvals, versioning expectations).
• Data stewardship, integrity, and operational readiness: Own schemas, definitions, and documentation for integration datasets; ensure data outputs are discoverable, governed, and stable for downstream consumers. Define and enforce data quality metrics, SLAs, observability, and launch readiness gates for integrations. Drive repeatable validation approaches (e.g., end-to-end “round trip” workflows: onboarding → modeling → query validation → delivery verification).
• Hands-on technical skills: Be independently capable of using SQL to validate partner data and outputs, investigate issues, and unblock delivery (Snowflake strongly preferred; MySQL/PostgreSQL acceptable with demonstrated depth). Partner with Engineering to root-cause issues across ingestion, transformation, query logic, and delivery—then turn learnings into hardened platform features and guardrails.
• Platform leverage: standardize integration patterns: Create reusable integration “building blocks” (templates/patterns) so the next partner is faster, safer, and cheaper to onboard than the last—avoiding bespoke drift. Ensure integration decisions reinforce unified delivery surfaces (APIs/feeds/data shares/clean rooms), rather than proliferating one-off pipelines.

Benefits

• Comscore is unable to provide employment visa sponsorship for this position, now or in the future. This includes individuals currently on F-1 OPT, CPT, or any other visa status that would require future sponsorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed