
Senior Product Manager, Audience Measurement, Media Data
Posted Oct 15

Posted Oct 15
This is a fully remote position, open to applicants in Florida.
• Take ownership of the product strategy, vision, and roadmap for audience measurement and media data solutions across various platforms including streaming, broadcast, and cable.
• Oversee the entire product lifecycle, from recognizing customer needs and outlining requirements, to ensuring delivery, adoption, and ongoing enhancement.
• Collaborate with engineering, data science, research, and analytics teams to design scalable measurement solutions.
• Integrate viewing data with third-party signals to enhance audience insights and improve measurement accuracy.
• Establish product priorities, performance metrics, and success indicators while balancing both business and technical needs.
• Maintain data quality, reliability, privacy, and measurement integrity through ongoing improvements.
• Work closely with customers and internal stakeholders to identify opportunities, address challenges, and enhance product offerings.
• Lead cross-functional projects, manage priorities, and communicate product developments and outcomes to leadership.
• Guide, mentor, and develop members of the product team, promoting performance, accountability, and professional advancement.
• Bachelor's degree in a relevant field or equivalent experience.
• 7+ years of pertinent experience in product management, data products, analytics, technology, or similar domains.
• Prior experience in directly managing and developing team members.
• Proven track record of owning data-driven products and overseeing the full product lifecycle.
• Capability to collaborate with engineering, data science, and other technical teams.
• Excellent communication, decision-making, and stakeholder management abilities.
• Experience in television, streaming, advertising, or audience measurement is preferred.
• Familiarity with cross-platform measurement, third-party data, and audience enrichment is preferred.
• Knowledge of data quality, APIs, cloud platforms, and contemporary data architectures is preferred.
• Understanding of statistical modeling or machine learning is preferred.
• Experience with Agile methodologies and tools such as Jira or Confluence is preferred.
• Comprehensive health and wellness plans.
• 401(k) with a Nielsen company match.
• Generous paid time off policy.
• Company-provided vehicle (depending on the role).
• Discretionary incentive/bonus eligibility.
• Potential eligibility for bonuses, equity, or other incentives.
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