Title: Data Product Owner
Duration: 12 Months
Location: New York City, NY (Hybrid Onsite)
Description:
Product Strategy & Ownership
- Define, own, and execute the product vision and roadmap for a suite of research and measurement data products.
- Translate complex business and measurement needs into clear product requirements, user stories, and prioritized backlogs.
- Align product strategy with enterprise data and analytics objectives.
- Oversee end-to-end data lifecycle including ingestion, transformation, and modeling across analytics platforms.
- Partner closely with Research and Analytics teams to ensure methodologies, metrics, and calculations meet industry standards and business needs.
- Identify and drive opportunities to leverage AI, automation, and agent-based solutions to enhance insights and operational efficiency.
Data Quality, Governance & Compliance
- Establish and maintain data quality standards, validation frameworks, and reconciliation processes.
- Collaborate with Data Governance teams to define and manage metadata, data dictionaries, and semantic layers.
- Ensure proper integration with data mesh frameworks and enterprise data governance practices.
Delivery & Execution
- Work cross-functionally with Data Engineering and Platform teams to deliver scalable, high-performance analytics solutions.
- Define acceptance criteria and validate outputs against business requirements and data quality standards.
- Anticipate and manage risks related to data changes, vendor updates, and metric evolution or deprecation.
- Communicate product strategy, roadmap progress, and business impact to senior leadership and executives.
Stakeholder Engagement:
- Serve as the primary liaison across Analytics, Research, Ad Sales, Programming, and Marketing teams.
- Drive product adoption by ensuring solutions is intuitive, well-documented, and aligned with user workflows.
- Gather continuous feedback to refine product capabilities and enhance user experience.
In compliance with the salary transparency law, the expected pay range for this role is $60-63/hr. Actual compensation depends on experience and interview evaluation.