·       Own and manage the end-to-end lifecycle for a portfolio of analytics products, from opportunity framing to deployment, ensuring alignment with strategic business objectives.

·         Oversee cross-functional product development teams (Data Scientists, Engineers, Analysts, UX Designers) in an agile/lean environment, ensuring alignment with business and user needs.

·       Lead cross-functional coordination across regions and Heineken markets to drive scalable deployment of analytics solutions, incorporating structured change management approaches.

·       Build and maintain strong relationships with senior stakeholders across functions and geographies to ensure that analytics solutions are embedded in business processes.

·       Guide enablement efforts with customer-facing and functional teams to ensure effective adoption, including design of training, communication, and support materials.

·        Establish a robust framework for measuring product performance across the portfolio, driving continuous improvement and value delivery based on user and business feedback

Requirements

·       BA/MSc in a quantitative related field; equivalent work experience accepted.

Essential:

·       Strong strategic communication skills, with demonstrated ability to influence and align senior stakeholders across functions and regions

·       Proven experience managing a portfolio of analytics or data-driven products with varying scope and complexity

·       Excellent project and stakeholder management skills, with structured problem-solving capabilities

·       Ability to define and execute product strategy and communicate actionable insights to technical and non- technical audiences

·         Experience leading teams in agile environments (e.g., backlogs, sprints, user stories, iterative design)

·       Track record of translating business problems into scalable analytics solutions that deliver tangible business value

 Advantageous skills:

·       Experience in data analysis, machine learning or related field

·       Hands-on experience in data analysis, machine learning, or related disciplines   Experience working in or delivering analytics solutions within the FMCG sector

·       Familiarity with data platforms, governance principles, and AI/ML product development pipelines

Apply today and be the driving force behind data-led decision-making in the alcohol distribution industry!