Associate CO Data & Analytics Product Manager

About Customer Operations Data & Analytics

Customer Operations Data & Analytics partners with business functions and global teams to deliver scalable, automated analytics solutions aligned with enterprise data strategy and One Source of Truth principles.

This role is critical to advancing Customer Operations toward a tech‑forward, AI‑enabled operating model, enabling the design and deployment of scalable analytics products that connect business strategy with enterprise data and technology capabilities. It drives faster and more accurate insight‑led decision‑making, improved service levels, and end‑to‑end visibility, strengthening our ability to deliver customer‑centric, data‑driven outcomes and respond to evolving market needs.

Additionally, it accelerates experimentation, innovation, and adoption of AI/ML solutions while building sustainable internal capability and scaling reusable and certified analytics products. Ultimately, this role creates tangible value for the organization by enabling better service on shelf, stronger customer and consumer experiences, and measurable business outcomes that fuel profitable growth.

Drive the design, development, and deployment of scalable data and analytics products that enable business transformation across Customer Operations. This role connects business strategy with data and technology, embedding new ways of working, accelerating adoption, and delivering measurable impact through innovative analytics solutions.

• Capability Strategy & Deployment
• Define and drive the Data & Analytics capability strategy aligned to Customer Operations priorities, digital transformation goals, and enterprise data strategy
• Design, develop, and scale reusable, certified analytics products that enable faster, more accurate, insight‑led decision‑making across Customer Operations.
• Leverage enterprise data platforms, AI/ML capabilities, and modern analytics technologies to create scalable solutions that connect business strategy with data and technology.
• Partner with business stakeholders, product teams, and engineering teams to translate business needs into deployable, high‑value analytics products.
• Establish standards, governance, and best practices to ensure sustainable product development, quality, scalability, and adoption.
• Transformation Leadership
• Lead data, analytics, and AI‑enabled transformation initiatives that advance Customer Operations toward a tech‑forward operating model.
• Drive experimentation, innovation, and adoption of AI/ML, automation, and advanced analytics solutions to solve business challenges and unlock new opportunities.
• Act as the bridge between business, product, and engineering teams, ensuring alignment of priorities, roadmaps, and execution.
• Strengthen end‑to‑end business visibility and customer‑centric decision‑making through scalable digital and analytics capabilities.
• Build internal capability and foster a data‑driven culture by championing modern analytics practices, innovation, and continuous learning.
• Performance & Change Management
• Drive measurable business outcomes through analytics solutions, including improved service levels, operational efficiency, decision quality, and customer outcomes.
• Lead change management efforts to accelerate adoption of new analytics products, AI‑enabled tools, and data‑driven ways of working.
• Develop training, enablement, and upskilling programs to build sustainable internal analytics capability across Customer Operations.
• Establish governance frameworks to prioritise investments, track value realisation, and manage the analytics product lifecycle.
• Continuously optimise products and solutions based on business feedback, performance insights, changing market needs, and emerging technology opportunities.

WHAT YOU WILL NEED TO SUCCEED

• Bachelor’s degree in data engineering, Supply Chain, Analytics, or related field
• 3+ years of experience in supply chain with a clear competence in analytics, digital technology (e.g., advanced analytics, AI‑enabled platforms), and technology.
• Proficiency with programming languages (e.g., SQL, Python, PySpark, Scala)
• Experience with visualization…