Lead Product Manager (Data Analytics)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Lead Product Manager (Data Analytics): Defining and executing the vision, strategy, and roadmap for analytics and data products that power decision-making across Ad Sales with an accent on data engineering concepts, relational modeling, and AI/ML applications. Focus on translating complex business needs into scalable data products and collaborating with cross-functional teams to deliver actionable, self-service insights.
Location: Must be based in New York, NY (Hybrid: 4 days per week in-office)
Salary: $150,000 - $190,000
Company
is a leading global media and entertainment company creating world-class content across film, television, streaming, and theme parks.
What you will do
- Define and socialize a long-term strategy and outcome-based roadmap for analytics and data products.
- Translate business needs into clear, technically sound product requirements, user stories, and KPIs.
- Work hands-on with data, including querying datasets, validating logic, and understanding entity relationships.
- Partner with architecture and data engineering teams to deploy data pipelines, AI/ML models, and BI products.
- Manage execution for complex cross-functional initiatives, identifying milestones, dependencies, and risks.
- Coach and mentor product managers and analysts to foster a culture of excellence and accountability.
Requirements
- 12+ years in Technical Product Management with experience delivering enterprise data or BI products.
- 7+ years of hands-on experience with modern data stacks (Snowflake, Databricks, Redshift, BigQuery, dbt).
- Strong SQL skills and familiarity with data modeling techniques (Star/Snowflake schema, dimensional modeling).
- Experience in Ad Tech and Ad Sales ecosystems including audience data, measurement, and forecasting.
- Familiarity with AI/ML workflows and pragmatic application of AI in analytics products.
- Must be able to work from the New York office at least 4 days per week.
Nice to have
- Experience with Adobe Analytics, Google Ad Manager, FreeWheel, or Nielsen.
- PMP, Scrum Master certification, or MBA.
- Track record of leading global teams and shipping enterprise-scale data products.
Culture & Benefits
- Comprehensive company-sponsored benefits including medical, dental, and vision insurance.
- 401(k) retirement plan with company contributions.
- Paid leave and tuition reimbursement programs.
- Access to a variety of employee discounts and perks.
- Inclusive culture focused on community impact and professional development.
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