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Product Manager, Data & Analytics

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: NBC Universal
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
  • Business Segment:
    International Networks & DTC
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 theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad‑supported streaming service.

We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world‑renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

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.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, Golf Now, Golf Pass, and Sports Engine. The well‑capitalized company will have significant scale as a pure‑play set of assets anchored by leading news, sports and entertainment content.

The spin‑off is expected to be completed during 2025.

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…
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