Product Manager
Listed on 2026-01-15
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
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This range is provided by NBCUniversal. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Job DescriptionThe Product Manager will be part of the Film & TV Studios Technical Solutions. This role will lead the product strategy, development, and delivery of technical solutions that advance the Universal Film group’s data and analytics initiatives. The Product Manager will partner with stakeholders working across business areas to define requirements, prioritize features, and deliver products that improve data accessibility, insight generation, and operational efficiency.
In addition to supporting the NBCU business units on data and analytics, this role will partner with Technical Operations and Enterprise Engineering teams and growth of data and analytics as a key strategy across our business.
Responsibilities- Define and manage the product vision, strategy and roadmap for analytics-related solutions supporting the Universal Film group
- Collaborate with business stakeholders to gather requirements, translate analytics needs into technical product features
- Write clear, actionable user stories and acceptance criteria to guide engineering teams and ensure alignment with business objectives
- Partner with Enterprise Engineering teams to deliver scalable, secure, and high performing analytics products
- Lead cross-functional planning and prioritization to align development efforts with business priorities and enterprise goals
- Manage the end-to-end product lifecycle
- Identify opportunities to improve data quality, standards, governance and accessibility across our analytics platforms
- Support change management, adoption and enablement efforts to drive effective use of analytics tools and data insights
- Promote a data-driven culture, encouraging innovation and the use of analytics to support decision making across the Universal Film group
- Maintain up-to-date knowledge of Google analytics and data products
- Bachelor’s degree in Computer Science, Marketing Technology or Business Analytics or equivalent experience
- 5+ years of experience in product management, analytics, or data engineering related solution delivery roles
- Demonstrated success managing data and analytics focused products from concept through launch
- Strong understanding of data platforms, integrations and analytics architecture including API’s, data pipelines and data modeling
- Ability to translate business requirements into technical specifications and collaborate closely with data engineers and developers
- Experience working with Cloud solutions (GCP, AWS or Azure) and modern technologies such as Big Query, Snowflake or Databricks
- Strong SQL proficiency with the ability to write, optimize, and validate queries to support data analysis, product development and troubleshooting
- Experience working in cross-functional teams involving data engineers and business stakeholders
- Strong ability to perform analysis of small to medium complex business, workflow, and technology issues to support decision‑making
- Strong analytical and problem‑solving skills with ability to utilize technology to create innovative solutions
- Strong stakeholder management and communications skills, including experience engaging senior leaders
- Experience in Global Media & Entertainment industry
- Familiarity with the Film, TV and Streaming ecosystem, including the digital landscape and consumer behavior drivers
- Experience managing large‑scale BI and analytics projects
- Proficiency with data visualization tools such as Microstrategy, Looker Studio, Tableau and Power BI
- Experience in the following data platforms and technologies:
Big Query, Snowflake, Vertex AI, Cloud Composer, Big Query ML, AutoML AWS, S3, Python & SQL - Understanding of data science and machine learning
- Stays informed on Google product offerings and industry trends, applying emerging capabilities to enhance analytics and data solutions
Fully Remote:
This position has been designated as fully remote, meaning that the position is expected to contribute from…
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