Data Product Manager

Data Product Manager – Data Modernization
Los Angeles, CA
Hybrid role
Contract
$65 - $85 per hour

Join the Data Products & Business Intelligence team of a leading media and entertainment organization as a Data Product Manager, supporting the execution of a major data modernization strategy. In this highly cross-functional, hands‑on contract role based in Los Angeles, you will deliver scalable, trusted, and AI‑ready data products that power analytics, executive reporting, and business decision‑making across a portfolio of well‑known digital brands.

You will translate strategic initiatives into clear execution plans, manage Jira backlogs, conduct SQL‑based validation and troubleshooting, and partner closely with Data Engineering, BI Engineering, Analytics, Product, and business teams to drive delivery with the right quality, functionality, and business impact. This is a high‑impact opportunity to shape data strategy and delivery in a dynamic, collaborative environment, with broad exposure across ticketing, streaming, and digital platforms.

• Drive execution of data modernization initiatives across key business domains including ticketing, streaming/AVOD, customer engagement, and performance analytics.
• Partner with leadership to translate modernization strategy into actionable product roadmaps, milestones, and delivery plans.
• Support the development of trusted, reusable data products such as curated data models, Silver/Gold tables, KPI layers, semantic definitions, analytics‑ready datasets, and executive‑facing reporting products.
• Translate business and analytics needs into clear product requirements, user stories, Jira tickets, acceptance criteria, and expected outcomes.
• Review and validate Jira ticket outcomes to confirm that delivered work satisfies business intent, reporting requirements, and data quality expectations.
• Maintain visibility into work streams, dependencies, open decisions, risks, and blockers across multiple concurrent initiatives; help prioritize work based on business value and delivery dependencies.
• Use SQL and analytical problem‑solving to validate datasets, assess metric logic, investigate data issues, and support reconciliation across source systems and reporting outputs.
• Define and support validation processes for new tables, transformations, KPIs, and reporting outputs before production release.
• Serve as a key connector across Data Engineering, BI Engineering, Analytics, Product, Finance, Ad Sales, and Marketing — facilitating alignment on requirements, use cases, definitions, and delivery timing.
• Identify delivery risks early and elevate proactively with clear context, recommended paths forward, and trade‑off considerations.
• Partner with governance stakeholders to promote strong practices around data quality, metric consistency, documentation, lineage, and trusted reporting.
• Identify opportunities to leverage AI and automation to improve how business users access and interpret data; help ensure curated datasets support trusted, business‑friendly AI experiences.

• Bachelor’s degree in Business, Analytics, Information Systems, Computer Science, Engineering, Data Science, or related field (or equivalent practical experience).
• 5+ years of experience in data product management, analytics product ownership, business intelligence, technical program management, or a closely related role.
• Demonstrated experience managing complex, cross‑functional data or analytics initiatives from requirements through delivery.
• Strong ability to translate ambiguous business problems into structured requirements, execution plans, and measurable outcomes.
• Working proficiency in SQL for data validation, troubleshooting, metric analysis, and business logic assessment.
• Experience working in Agile delivery environments using tools such as Jira and Confluence.
• Strong project management, organizational, and prioritization skills with the ability to manage multiple work streams simultaneously.
• Excellent written and verbal communication skills, including the ability to clearly summarize risks, status, decisions, and next steps for senior stakeholders.
• Strong problem‑solving skills and…