Lead Product Manager - 10-15 years

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it's consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

Job Summary

We are hiring a Lead Product Manager (P5) to lead strategy and execution for next-generation products in Nielsen's Ad Intel portfolio. This is a senior, high-visibility role responsible for incubating and scaling products that give clients visibility into competitive advertising activity, spend, creative strategy, and cross-media/cross-platform ad performance. You will provide expertise in solving unique, complex problems with broad impact on the business, contribute to strategy development, and lead teams and projects that guide cross-functional groups to discover, validate, build, and launch differentiated solutions across the advertising landscape.

Roles and Responsibilities

Product Strategy & Innovation

• Define the multi-year product strategy for Nielsen's Ad Intel suite, spanning traditional (TV, print, radio, outdoor) and digital/social ad tracking.
• Identify whitespace and monetization opportunities across creative intelligence, spend estimation, competitive benchmarking, and cross-media ad exposure measurement.
• Partner with data science, measurement, and engineering teams to productize proprietary ad detection, classification, and spend-modeling capabilities.
  
  

Customer Discovery & Market Fit

• Lead structured customer discovery with brands, agencies, media owners, and platform partners to surface unmet needs in competitive ad intelligence.
• Validate product-market fit through alpha/beta programs and signal-based experimentation across ad formats and channels.
• Represent the voice of the market in prioritization and roadmap decisions, balancing client demand with technical and data feasibility.
  
  

Execution Leadership

• Drive rapid incubation, validation, and scaling of new Ad Intel capabilities from 0-to-1 through to enterprise-grade deployment.
• Collaborate with engineering, data science, UX, commercial, and external data partners to deliver differentiated, defensible products.
• Set clear OKRs and lead outcome-based execution from MVP through scaled rollout, owning tradeoffs across scope, data quality, and timeline.
  
  

Go-to-Market & Partner Strategy

• Partner with GTM, partnerships, and commercial teams to shape pricing, packaging, and positioning for Ad Intel products.
• Engage strategic data and platform partners (e.g., ad exchanges, creative repositories, social platforms, clean rooms) to expand coverage and data depth.
• Support sales enablement and client-facing teams with product narratives, competitive positioning, and value articulation.
  
  

Qualifications

• Qualifications: Bachelor's degree or equivalent experience; advanced degree or specialized certifications preferred.
• Typical Experience: 10- 15 years of experience with a strong reputation as an expert in advertising intelligence, programmatic media, or related product domains.
• Skills: Top-tier expertise, leadership in innovation, and strategic project management. Proven ability to shape strategies and lead complex initiatives.
• Strong understanding of the advertising ecosystem — media buying, creative strategy, competitive intelligence, and cross-platform ad measurement.
• Track record of launching 0-to-1 products and scaling innovation within a matrixed, data-driven organization.
• Strong analytical and technical fluency — comfortable working with large-scale data pipelines, APIs, classification/ML models, and measurement frameworks.
• Skilled at stakeholder management and cross-functional influence across engineering, data science, commercial, and executive stakeholders.
  
  

Additional Information

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