Product Manager, Data & Analytics

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

The Product Manager – Data & Analytics will own the product-side data lifecycle for Universal+—from event taxonomy and instrumentation to validated, decision-grade datasets. The Product Manager – Data & Analytics will also ensure privacy alignment, data governance, and trusted, consistent, verifiable data across all sources, including partner integrations, analytics, attribution, and customer engagement platforms. This role will also manage gate releases on data readiness and uphold data standards across the product.

Responsibilities:
 

• Data Contracts & Instrumentation: Define and maintain event taxonomy, tagging plans, and data contracts across platforms (mobile/CTV/web), partner SDKs/APIs, attribution, and engagement platforms; version and document schemas.
• Data Quality Ownership: Establish data SLOs (Service Level Objectives) for coverage, accuracy, and freshness; run pre-/post-release instrumentation QA, reconciliations (e.g., entitlements vs. events), anomaly alerts, and a data defect log with SLAs (Service Level Agreements) to resolution.
• QoE Monitoring: Define and monitor Quality of Experience (QoE) telemetry and thresholds (e.g., playback errors, start-up time, buffering, ad experience) and coordinate remediation with the Product Owner, QA, and partners/vendors.
• Integration Stewardship: Partner with internal teams, vendors, and distribution partners to ensure implementations meet data requirements (identity/consent propagation, campaign/offer attribution, metadata mapping).
• Attribution & Engagement Flows: Own product requirements for attribution and lifecycle messaging data flows (link routing, campaign parameters, event pass-through, audience syncs) to ensure reliable downstream analytics.
• Delivery & Governance: Run the data workstream plan and RAID (Risks, Assumptions, Issues, Dependencies); gate launches on data readiness (Definition of Ready/Done for tracking). Translate privacy policies (consent, retention/deletion, IRR—Individual Rights Requests) into technical requirements and tests.
• Data Handoffs: Publish validated datasets, lineage, and documentation; align on KPI definitions and data availability/freshness expectations; support ad hoc investigations into data integrity.
• Vendors & Tooling: Lead evaluations/PoCs for analytics, tag management, attribution, and observability/monitoring tools; manage integration roadmaps and deprecation/change control with partners and vendors.
• Data Compliance: Ensure adherence to company data management standards, data deletion requirements, and data retention policies.

Qualifications

Basic Qualifications:

• 5+ years in product analytics, data product/program management, or technical program management for consumer apps/streaming.
• Hands-on experience defining tracking plans and validating telemetry via SDKs/tag managers; familiarity with multi-platform (mobile, CTV, web) data capture.
• Practical knowledge of analytics, attribution, customer engagement, tag management, data warehouse/ETL, and BI/visualization tooling.
• Proven delivery execution (plans, RAID, release gating) and excellent written/spoken com