Senior Product Manager - Activate Promotion Effectiveness & Planning

NielsenIQ; Chennai District; On-site; INR 4,200,000 - 6,400,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NIQ Activate seeks a Senior Product Manager to enable data-driven promotion strategy, optimization, and performance measurement. You will own end-to-end delivery, drive alignment across Engineering, Data Science, UX, and Sales, and translate analytical outputs into business value.

The role emphasizes planning, pricing and promotions optimization, and scenario simulation with an emphasis on measurable KPIs and revenue growth. A strong data-literacy mindset is essential.

Qualifications

• 6+ years in Product Management building data-driven or analytical products at scale.
• Experience leading cross-functional product teams across Engineering, Data Science, UX, and business stakeholders.
• Education: Bachelor's degree in Computer Science, Data Science, Engineering, Business or equivalent.
• Experience with AI/ML-driven products, optimization models, or decision-support systems.

Responsibilities

• Create and maintain a prioritized product backlog aligned with objectives.
• Coordinate delivery through PI planning and execution cycles.
• Collaborate with Data Science to validate models and outputs.
• Work with Engineering to ensure scalable, feasible solutions.
• Inform roadmap with market trends, customer needs, and competitive insights.
• Partner with UX to design intuitive workflows and clear documentation.
• Lead cross-functional product pod to deliver measurable customer and business outcomes.

Skills

Data literacy

Cross-functional leadership

Problem solving

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Excel

PowerPoint

Jira

Confluence

Figma

Job description

NIQ Activate is a single platform bringing together powerful retail capabilities - insights, analytics, and supplier collaboration tools. As we evolve our Promotion Effectiveness and Planning modules, we are looking for a Senior Product Manager to enable data-driven promotion strategy, optimization, and performance measurement.

Key responsibilities

• Product Requirements & Prioritization: Create and maintain a well‑defined, 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.
• Cross‑Functional 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 promotion planning, forecasting, optimization, scenario planning, and post‑event effectiveness measurement.
• Define capabilities for uplift modeling, cannibalization analysis, promotion optimization, and scenario simulation.
• Drive development of planning workflows and decision‑support tools for pricing and promotions.
• Ensure alignment with category management and revenue management processes.
• Continuously improve models based on real‑world performance and feedback loops.
• Define and track product, adoption, operational, and business KPIs to continuously improve product performance, customer value realization, and revenue outcomes.

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: Bachelor's 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.
• Experience defining success metrics, measuring product adoption, and driving business outcomes through data‑driven decision making.
• Domain expertise in promotion planning, trade promotion management, revenue growth management, category management, pricing, forecasting, or related retail optimization solutions.
• Experience working with AI/ML‑driven products, optimization models, forecasting solutions, simulation engines, or advanced decision‑support systems.

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 NIQ's 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.

About NIQ

NIQ is the world's leading consumer intelligence comp