• Own and drive the product vision and roadmap for multiple data products • Translate business needs into clear product requirements, user stories, and prioritized backlogs. • Drive alignment between business objectives and enterprise data strategy. • Ensure accurate ingestion, transformation, and data modeling across enterprise analytics platforms. • Partner with Research and Analytics teams to ensure methodologies, calculations, and metrics align with industry standards and business expectations. • Identify opportunities to apply AI, automation, and agent-based solutions to improve insight generation and operational efficiency • Establish and enforce data quality standards, validation rules, and reconciliation processes. • Collaborate with Data Governance teams on metadata, data dictionaries, semantic layers, and data mesh registration. • Work closely with Data Engineering and Platform teams to deliver scalable, reliable, and performant analytics solutions. • Own acceptance criteria and validate delivered features against business and data quality requirements. • Proactively manage risks related to data changes, vendor updates, and metric deprecations. • Communicate product roadmap, progress, and impact to executive and senior leadership. • Act as the primary point of contact for stakeholders across Analytics, Research, Ad Sales, Programming, and Marketing. • Drive adoption by ensuring products are intuitive, well-documented, and aligned to user workflows.