Product Data Manager

We are seeking a Data Product Manager to join the Data Products & Business Intelligence team of a leading media and entertainment organization, supporting the execution of a major data modernization strategy. In this highly cross‑functional, hands‑on role, you will help 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. Minimum Qualifications: Bachelor’s degree in Business, Analytics, Information Systems, Computer Science, Engineering, Data Science, or a 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 workstreams 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 attention to detail, especially when reviewing requirements, data outputs, and delivery readiness. Experience with modern data and analytics platforms such as Databricks, Redshift, Tableau, Looker, or cloud data warehouses is a plus. Familiarity with data product concepts such as Bronze/Silver/Gold architecture, KPI governance, data quality frameworks, and metric standardization is a plus. Background in media, entertainment, streaming, ticketing, or digital product analytics is a plus. Exposure to AI‑enabled insight products, self‑service analytics, or executive reporting tools is a plus. Familiarity with governance, privacy, and compliance considerations in data product delivery is a plus. Responsibilities: 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 workstreams, 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 escalate proactively with clear context, recommended paths forward, and tradeoff 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. What’s in it for you? High‑impact role at the center of a major data modernization effort for a leading media and entertainment organization with a portfolio of well‑known digital brands. Opportunity to shape the data product strategy that powers analytics and executive decision‑making across ticketing, streaming, and digital platforms. Highly cross‑functional role with broad exposure across Data Engineering, BI, Analytics, Product, Finance, and business leadership. Collaborative, fast‑paced hybrid environment in Los Angeles that values execution discipline, proactive communication, and real business impact. #J-18808-Ljbffr