Lead Product Manager (Advertising Intelligence)

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 Purpose

The Lead Product Manager for Ad Intel at Nielsen is an essential catalyst for innovation within the advertising intelligence landscape. 

Nielsen Ad Intel is the leading advertising and competitive intelligence platform that provides comprehensive insights and analysis for brands across digital and traditional media channels. Our solutions empower brands, agencies, and media owners to make confident, strategic business decisions about their media spend backed by accurate data analytics.

We are seeking a passionate Lead Product Manager to translate Nielsen's corporate strategy for Advertising Intelligence insights into compelling, market-aligned products and data streams. The right leader will also embody the broader responsibilities of a product manager by overseeing the entire product lifecycle. This involves identifying opportunities, validating product-market fit, defining the vision, and leading cross-functional teams to deliver products that delight our customers.

Key Responsibilities

• Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth.
• Translate Nielsen’s Advertising Intelligence strategic vision into executable strategies the Product organization can effectively implement.
• Managing a team of 2-4 product managers in a “player coach” role that still involves rolling up sleeves and executing.
• Define and prioritize a product roadmap based on proven business cases, customer feedback, and market dynamics.
• Measure product financial performance and implement new product pricing strategies to maximize ROI.
• Set and track ROI goals for each product, ensuring they deliver value and align with broader business objectives.
• Track and enforce contractual commitments to inform product roadmap and prioritization.
• Drive cross-functional project teams integrating data science with software engineering practices to innovate and enhance analytical tools and applications.
• Establish and maintain a feedback loop between Product, Commercial, and Engineering teams to prioritize feature development.
• Oversee the end-to-end development process, ensuring products are launched successfully and meet customer expectations.
• Act as a product evangelist to build awareness and understanding of Nielsen products to internal and external stakeholders.
• Manage quality assurance protocols, ensuring that all product changes, deployments, and computational metrics meet the highest standards.

Key Skills

• A bachelor's or master's degree in Business Administration, Computer Science, Data Science, or a related field is often preferred.
• 3+ years of experience in the Advertising Intelligence, AdTech, or MarTech ecosystem as part of 7+ years total experience in product management or a similar discipline in a SaaS or DaaS environment.
• 3+ years of direct people leadership experience.
• Awareness of best-in-class PDLC frameworks is a must. Additional certifications in Product Management, Agile methodologies, or related areas a plus.
• Strong ability to creatively problem solve complex problems while considering multiple perspectives.
• Managed a P&L demonstrating ability to prioritize based on business case.
• Knowledge of project and product management tools like Jira and Aha.
• Familiarity with complex data methodologies to combine data assets into products.
• Experience with big data analytics and data flows.
• Experience in writing technical specifications and technology requirements.
• Nimble with fail-fast mindset to drive rapid iterations of product development.
• Strong time management skills.
• Excellent written and verbal communication skills along with the ability to present effectively to upper management.
• A customer-first approach by anchoring and solving customer problems rapidly, aligning data-driven decisions with customer needs

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