Senior Product Manager II - (Media Planning/Ad Tech/Ad Intel)

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.

Responsibilities

- Lead and implement the strategic vision for products within the Nielsen Ad Intelligence applications portfolio, aligning with company goals and market needs.

- Oversee the end-to-end product life cycle, from concept and development to launch and iteration.

- Prioritize the product roadmap, including a clear understanding of requirements, resources, execution timelines, and impact.

- Identify customer problems and workflow opportunities where AI, machine learning, and emerging technologies can unlock novel product capabilities and measurable business value.

- Define, evaluate, and drive AI-enabled product initiatives from discovery through production, including use case prioritization, solution design, experimentation, launch planning, and post-launch optimization.

- Partner closely with engineering, data science, and architecture teams to implement AI-powered solutions using appropriate approaches and tools, including machine learning, model orchestration, MCP, and related technologies where applicable.

- Establish clear product requirements, success metrics, guardrails, and evaluation criteria for AI functionality, including quality, reliability, explainability, performance, and user adoption.

- Lead testing and validation of AI-driven features through prototyping, test-and-learn experiments, pilot programs, and phased rollouts to ensure product-market fit and operational readiness.

- Collaborate with cross-functional teams (engineering, data science, sales, and marketing) to deliver cutting-edge solutions.

- Identify market trends, customer needs, and competitive landscape to inform product strategy.