Senior Product Manager – Supply Chain & Logistics

About the Team

You’ll be part of the Argos Data & Analytics team, within a wider Chief Data Office (CDO) organisation of around 350 people. The team is driving a major data transformation, working with one of the UK’s richest datasets—over 1.2 billion transactions annually. You’ll collaborate with analysts, engineers, and product professionals to build scalable, high-performance data products that support Argos’ Supply Chain & Logistics operations and deliver measurable commercial impact.

More About the Role

This role leads the Supply Chain & Logistics product area, defining the roadmap and backlog to deliver impactful data products. You’ll work closely with delivery squads to ensure smooth execution, remove blockers, and communicate progress to stakeholders. You’ll apply a defined product methodology to guide discovery and delivery, facilitate workshops, run agile ceremonies, and champion data standards across ethics, governance, and security. Your focus will be on delivering measurable value for Argos’ supply chain operations.

More About You

You’re a collaborative product leader with a strong grasp of data and its potential to drive decisions. You’ve worked in agile environments, partnering with analytics and engineering teams to deliver end-to-end solutions. You’re commercially minded, technically curious, and passionate about customer experience. You thrive in cross-functional settings, communicate clearly with stakeholders, and contribute to a culture of coaching and continuous improvement.

Essential Criteria

Candidates must demonstrate the following to be considered:

• Proven experience in agile product delivery, including backlog management, roadmap creation, and facilitation of agile ceremonies.
• Demonstrable track record of delivering data or analytics products, such as BI tools, machine learning solutions, or automated insights.
• Evidence of stakeholder engagement and influence, including alignment of priorities across business, technical, and third-party teams.
• Ability to manage the full product lifecycle, from discovery through to delivery, with measurable outcomes aligned to business goals.
• Experience applying data governance principles, including ethics, security, and assurance, within product or data environments.

Desirable Criteria

The following attributes are beneficial but not mandatory:

• Experience working with AI/ML platforms or data science teams.
• Familiarity with data warehousing and business intelligence (BI) solutions.
• Exposure to supply chain or logistics product domains.
• Involvement in mentoring or coaching within a product management community.
• Ability to evaluate and integrate third-party technologies into product ecosystem