Senior Manager, Product Management – Data Integrations

Comscore is building the industry’s leading audience measurement platform, and they are seeking a Senior Manager for Product Management in Data Integrations. This role involves owning third-party data integrations, defining integration patterns, and ensuring data integrity and operational standards for audience onboarding and measurement workflows.

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)
• 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)
• 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)
• 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
• 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

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
• 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)