Job DescriptionWe are seeking an accomplished and visionary Senior Director, Data Product Manager, Identity and Audiences to serve as the connective tissue between our business strategy and the identity data assets that power analytics, data science, and precision marketing across the enterprise. This leadership role is central to our transformation from a reactive, request-driven support function to a strategic, product-driven organization.
You will own the holistic lifecycle of identity-resolved and AI-ready audience data products. Operating either on Databricks/Snowflake, you will translate enterprise growth priorities into actionable data products, orchestrate identity resolution frameworks via premium partners, and manage enterprise Customer Data Platform (CDP) capabilities. This role ensures high-value, privacy-safe audience segments are continuously optimized and available for the demand teams at Peacock and our global cross-business units.
Responsibilities include, but are not limited to: Strategic Intake & Roadmap Execution
- Strategic Roadmap & Governance: Partner closely with executive leadership and cross-functional strategy teams to translate high-level business objectives into a prioritized, enterprise-wide audience roadmap. Act as a core strategic layer ensuring data product development directly aligns with overarching corporate growth goals.
- Intake Management & Prioritization: Establish and enforce a rigorous governance framework for all incoming data partnership and audience requests. Implement a structured intake process to successfully balance urgent business needs while protecting the core product roadmap and driving scalable, long-term outcomes.
Product Unit Leadership & Sprint Delivery
- Team Leadership: Lead cross-functional agile teams of engineers, analysts, and quality specialists to ensure structured, scalable product delivery.
- Sprint Management: Oversee continuous sprint cycles to efficiently build, iterate, and maintain core identity schemas and audience data products.
Codifying the Data Product Standard
- Enforce Product Discipline: Apply the enterprise Data Product Standard to all audience assets, ensuring every segment and graph has a named owner, formal documentation, a clear consumer registry, and defined success metrics.
- Manage Product Lifecycle: Explicitly track and manage the lifecycle stages of audience data products-from active development and stable maintenance to strategic sunsetting.
Identity & Ecosystem Partnerships
- Existing Framework Management: Partner across teams to optimize and maximize our existing enterprise identity framework, bringing deep expertise to ensure a data-driven strategy rooted in a robust deterministic graph.
- Partner Data Ingestion: Design ingestion and mapping strategies to transform data from premium distribution, CTV, and content platforms into compliant, productized tables within Databricks/Snowflake.
- Commercialization & Value Strategy: Leverage the unified identity framework to determine which proprietary audience data products to build, maximizing media trading opportunities and commercial yield for internal demand teams.
Proactive Data Quality & Governance
- Data Contracts: Define and enforce clear data contracts covering freshness, completeness, accuracy, and schema stability as a core product responsibility.
- Proactive Monitoring: Implement automated monitoring and alerting to isolate and resolve data quality incidents before they impact downstream stakeholders.
- Privacy & Compliance: Partner with legal and compliance teams to ensure all identity resolution and data clean room operations strictly adhere to global privacy regulations.
Qualifications- Professional Experience: 8+ years of progressive leadership experience in data product management, ad tech/martech strategy, or data architecture.
- Product Management Discipline: Proven track record of successfully evolving data organizations from reactive request models into structured, agile product delivery frameworks.
- Identity Domain Expertise: Deep understanding of identity resolution ecosystems and data clean rooms, with specific experience optimizing deterministic graph models.
- Data Platforms & CDPs: Strategic and hands-on experience utilizing Databricks/Snowflake for data sharing and data product creation, alongside strong command of enterprise Customer Data Platforms (CDPs).
- Media Ecosystem Knowledge: Robust understanding of streaming, digital, and linear media landscapes, with experience integrating complex external data partner and platform datasets.
- Technical & Commercial Acumen: High data literacy, including proficiency in data modeling concepts to effectively guide engineering teams, combined with the business acumen to turn complex data into commercial media products.
- Education: Bachelor's degree in a business or technical field, or equivalent relevant professional experience.
Additional Requirements- Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of three days per week. Beginning January 5, 2026, hybrid employees will be required to work from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.
- This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $195,000 - $235,000 (bonus & long-term incentive eligible
Additional InformationAs part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision.
