Job Title: Product Strategy & Ownership
Location(s): New York, NY
Key Responsibilities:- Define and execute the product vision, roadmap, and strategy for research and measurement-focused data products.
- Translate business, analytics, and measurement requirements into product specifications, user stories, and prioritized backlogs.
- Align product initiatives with enterprise-wide data, analytics, and business intelligence objectives.
- Manage the end-to-end analytics data lifecycle including ingestion, transformation, modeling, and reporting workflows.
- Collaborate with Research and Analytics stakeholders to ensure metrics, methodologies, and reporting standards align with business requirements and industry best practices.
- Drive innovation initiatives leveraging AI, automation, and intelligent agent-based solutions to improve operational efficiency and data insights.
- Establish and enforce data quality standards, validation rules, reconciliation processes, and governance practices.
- Partner with Data Governance teams to maintain metadata management, semantic layers, and enterprise data definitions.
- Support integration with enterprise data mesh and governance frameworks.
- Work closely with Data Engineering and Platform teams to deliver scalable, reliable, and high-performance analytics solutions.
- Define acceptance criteria and validate product outputs against business expectations and data quality requirements.
- Proactively manage risks related to evolving metrics, source system changes, vendor updates, and reporting dependencies.
- Present roadmap updates, delivery progress, and business impact to executive leadership and cross-functional stakeholders.
- Act as the central liaison between Analytics, Research, Marketing, Programming, and business stakeholders.
- Drive product adoption through intuitive solutions, documentation, training, and continuous feedback incorporation.
Required Skills & Experience:- Strong experience in Product Ownership, Product Strategy, or Data Product Management.
- Experience working with analytics, research, measurement, or media data platforms.
- Strong understanding of data warehousing, ETL/ELT pipelines, data modeling, and analytics ecosystems.
- Familiarity with data governance, metadata management, semantic modeling, and data quality frameworks.
- Experience working in Agile/Scrum environments with backlog management and sprint planning.
- Ability to collaborate effectively with technical and non-technical stakeholders.
- Strong communication and executive presentation skills.
Preferred Qualifications:- Experience in media, advertising, audience measurement, or research analytics domains.
- Exposure to AI-driven analytics, automation frameworks, or intelligent workflow solutions.
- Familiarity with cloud analytics platforms and enterprise data ecosystems.
