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Job Title:Senior Manager, Product Management - Data Integrations (Platform)
Location:Hybrid - New York, NY; Reston, VA; Portland, OR (or Remote)
Comscoreis 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.

About This Role:

Comscoreis buildingthe industry's leading audience measurement platform-where shared foundations (identity, metadata,methodology, and delivery surfaces) are reused across productsin a unified, interconnected measurement platform;and partners can integrate once and scale across workflows.

TheSenior 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 asdata andidentifypartners, 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 PlatformPMrole with deep accountability for data integrity, schemas/contracts, delivery reliability, and partner technical execution.

WhatYou'llOwn:

You will own the platform capabilities that let partners reliably:

• Onboard and register audiences (e.g., segment metadata + IDs/tags) and make them usable downstream.

• Execute measurement queries (commercial + viewership use cases) andvalidateoutputs against defined schemas and logic.

• Receive outputs through modern delivery surfaces (e.g., Snowflake-based delivery, data shares/clean rooms/APIs/feeds-depending on partner workflow and governance constraints).

• Operate within required governance and compliance constraints (e.g., privacy-safe joins/aggregation in clean rooms where needed).

WhatYou'llDo:

1) 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).

2) 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).

3) Data stewardship, integrity, and operational readiness

• Own schemas, definitions, and documentation forintegrationdatasets; 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).

4) Hands-ontechnical skills

• Be independently capable of using SQL tovalidatepartner data and outputs, investigate issues, and unblock delivery (Snowflake strongly preferred; MySQL/PostgreSQL acceptable withdemonstrateddepth).

• Partner with Engineering to root-cause issues across ingestion, transformation, query logic, and delivery-then turn learnings into hardened platform features and guardrails.

5) Platform leverage: standardize integration patterns

• Create reusableintegration"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.

WhatYou'llNeed:

Product leadership + partner ecosystem

• 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 agencyholdcosand/or sell-side distributors (or adjacent partners like identity/data providers).

Hands-on technical depth

• Strong, practical SQL skills with the ability to independently query andvalidatedatasets and outputs; Snowflake experience strongly preferred (or equivalent depth in PostgreSQL/MySQL plus clear Snowflake exposure).

• Proven capability in data analysis: investigating anomalies,validatingbusiness logic, reconciling outputs to expected schemas, and communicating findings clearly.

• Experience definingdata contracts(schemas/definitions/versioning), and collaborating with Engineering on data pipelines, APIs, and delivery mechanisms.

Domainexpertise

• 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).

• Comfortoperatingin environments where delivery may require governance controls and privacy-safe approaches (e.g., clean rooms / restricted extraction patterns).

Execution & communication

• 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 Have:

• Direct experience integrating with or supporting workflows for partners in thedata andidentifypartner/ agencyholdco/ major broadcaster ecosystem.

• Experience with delivery in/through Snowflake (data shares), and/or clean room patterns where outputs are aggregated andprivacy-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).

About Comscore

AtComscore, we're pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we're united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you're motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we'd love to hear from you.

Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry's emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.

EEO Statement: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, protected veteran status or any other characteristic protected by law.

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