Senior Product Manager – Activate Retail Media & Personalization

Key responsibilities 

• Product Requirements & Prioritization: Create and maintain a welldefined prioritized product backlog aligned with business and product objectives. 

• PI Planning and Execution: Coordinate delivery through PI planning execution and review cycles to ensure alignment and timely delivery. 

• Collaboration with Data Science: Partner with data science to identify models validate outputs and ensure analytical robustness. 

• Technical Collaboration & Architecture Alignment: Work closely with Engineering to ensure scalable efficient and feasible solutions aligned to platform architecture. 

• Market Research and Analysis: Leverage market trends competitive insights and customer needs to inform roadmap and prioritization. 

• User Experience: Collaborate with UX to design intuitive workflows and ensure clear product documentation (Figma acceptance criteria). 

• Product Advocacy & Enablement: Support commercial teams and translate analytical outputs into clear business value. 

• CrossFunctional Collaboration: 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. 

Qualifications :

Qualifications & skills 

• Analytical skills: Strong problem-solving skills with high data literacy and ability to interpret models and outputs. 

• Experience: 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. 

• Organizational skills: Ability to manage multiple priorities and drive execution focus. 

• Education: Bachelors degree in Computer Science Data Science Engineering Business or equivalent. 

• Communication: 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. 

• Tools: 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.  

• 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. 

Additional Information :

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process including résumé screening candidate assessments interview scheduling job matching communication support and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQs principles of fairness transparency human oversight and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions require accommodations or wish to request human review were permitted by law please contact your local HR representative. For more information please visit NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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Our commitment to Diversity Equity and Inclusion

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  Work :

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Employment Type :

Full-time