Senior Product Manager – Activate Retail Media & Personalization

NielsenIQ

About The Position

NIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology, and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape. Learn more at: www.niq.com NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Requirements

Strong problem-solving skills with high data literacy and ability to interpret models and outputs.
6+ years in Product Management building data-driven or analytical products at scale.
Experience leading cross-functional product teams and driving execution across Engineering, Data Science, UX, and business stakeholders.
Ability to manage multiple priorities and drive execution focus.
Bachelor’s degree in Computer Science, Data Science, Engineering, Business or equivalent.
Strong written and verbal communication; ability to explain complex concepts clearly.
Experience presenting product strategy, roadmap decisions, and delivery status to senior leadership and executive stakeholders.
Experience with Excel, PowerPoint, Jira, Confluence, Figma; familiarity with agile methodologies.
Strong understanding of Agile product delivery frameworks, including Scrum, SAFe, or similar approaches.
Experience defining success metrics, measuring product adoption, and driving business outcomes through data-driven decision making.

Nice To Haves

Domain expertise in retail media, audience targeting, personalization, customer engagement, marketing technology, advertising technology, or related digital commerce solutions.
Experience working with AI/ML-driven products, recommendation systems, audience targeting solutions, personalization engines, or marketing optimization platforms.

Responsibilities

Create and maintain a well‑defined, prioritized product backlog aligned with business and product objectives.
Coordinate delivery through PI planning, execution, and review cycles to ensure alignment and timely delivery.
Partner with data science to identify models, validate outputs, and ensure analytical robustness.
Work closely with Engineering to ensure scalable, efficient, and feasible solutions aligned to platform architecture.
Leverage market trends, competitive insights, and customer needs to inform roadmap and prioritization.
Collaborate with UX to design intuitive workflows and ensure clear product documentation (Figma, acceptance criteria).
Support commercial teams and translate analytical outputs into clear business value.
Build strong partnerships across Product, Engineering, Data Science, Sales, and Customer Success.
Lead a cross-functional product pod, driving alignment across Engineering, Data Science, UX, and business stakeholders to deliver measurable customer and business outcomes.
Own end-to-end delivery of product initiatives, proactively managing risks, dependencies, trade-offs, and execution progress.
Partner with Engineering leadership to support capacity planning, release readiness, and successful product delivery.
Own roadmap for retail media activation, audience targeting, and personalized offer management.
Define capabilities for segmentation, targeting, recommendation systems, campaign execution and measurement.
Partner on integrations with retail media networks, CRM systems, and ad-tech ecosystems.
Support monetization strategy and media revenue growth through product capabilities.
Define and track product, adoption, operational, and business KPIs to continuously improve product performance, customer value realization, and revenue outcomes.