Programme Manager - RLM

About the Role
As a Programme Manager for RLM, you will take ownership of the end-to-end program management of all RLM initiatives. You will be responsible for scoping, planning, deploying, and stabilising projects post-go-live. Your immediate focus will be on delivering Price Optimisation and Intelligent Store Transfer (IST) in collaboration with the AWS partner, while also shaping the roadmap for a broader scope of RLM initiatives.

Responsibilities

Program Planning & Delivery

• Own end-to-end program management of RLM initiatives, from scoping and planning through deployment and post-go-live stabilisation.
• Lead immediate delivery of Price Optimisation and Intelligent Store Transfer (IST) with the AWS partner, while shaping and sequencing the roadmap for the broader RLM scope.
• Own data-readiness dependencies across RLM modules, including demand, inventory, product and store master data, working with data and technology teams to ensure inputs are fit for planning, optimisation and analytics models.
• Develop and maintain detailed project plans, delivery roadmaps, and milestone schedules across all active RLM workstreams.
• Proactively identify risks, dependencies, and blockers, and drive timely resolution to keep programs on track.
• Track and report program progress, budget utilisation, and delivery health to senior stakeholders on a regular cadence.

Cross-Functional Coordination

• Coordinate delivery activities across planning, merchandising, supply chain, and technology teams to ensure aligned execution.
• Facilitate structured working sessions, sprint reviews, and steering meetings to maintain momentum and shared accountability.
• Manage interdependencies between RLM capability streams, including merchandise financial planning (MFP, category and APB/budget planning), assortment planning, initial allocation, replenishment, intelligent store transfers, initial pricing, price and markdown optimisation, and BI/analytics.
• Serve as the primary coordination point between business workstream leads and the RLM platform team.

Stakeholder Engagement & Reporting

• Build and maintain strong relationships with business, IT, and vendor stakeholders to align on priorities and delivery expectations.
• Prepare clear and concise program status reports, executive dashboards, and decision papers for leadership review.
• Communicate program objectives, risks, and outcomes with confidence across operational and senior leadership audiences.
• Support vendor and partner engagement (including AWS and RLM platform vendors) by coordinating delivery commitments, escalations, and change request processes.

Adoption & Change Management

• Design and execute change management and training plans to drive effective user adoption of deployed RLM capabilities.
• Define adoption metrics and monitor uptake across business functions, intervening where engagement or utilisation falls short.
• Drive deployment of RLM dashboards and decision-support analytics that give performance visibility across planning, inventory, pricing and stores.
• Partner with process owners to embed standardised ways of working aligned to platform capabilities.
• Capture and communicate business value realised from delivered capabilities to sustain stakeholder commitment.

What You Will Bring – Skills & Qualifications

• Bachelor's degree in Supply Chain Management, Retail Operations, Business Administration, Information Systems, or a related field.
• 8-10 years of experience in program or project management within retail technology, supply chain, or merchandising operations.
• Demonstrated experience managing cross-functional delivery programs involving RLM, planning, or supply chain platforms.
• Familiarity with the end-to-end retail lifecycle, including merchandise financial planning, OTB/APB, assortment and category planning, allocation, replenishment, store transfers, initial pricing, price optimisation, and markdown.
• Hands-on experience with RLM platforms such as Blue Yonder, Increff, or comparable solutions, or with cloud/AI-led retail solutions (e.g., AWS), is a strong advantage.
• Exposure to data- and ML-driven retail use cases such as demand forecasting, AI-driven pricing and markdown, and inventory optimisation, including data readiness and model adoption considerations.
• Proficiency in program management methodologies and tools, with the ability to manage multiple concurrent workstreams.
• Strong analytical skills with the ability to define KPIs, interpret delivery data, and translate findings into actionable recommendations.
• Proven ability to coordinate and influence cross-functional teams across business and technology without direct line authority.
• Solid change management and stakeholder communication skills, with experience driving adoption of enterprise technology solutions.
• Excellent written and verbal communication skills, including the ability to prepare executive-level reporting and presentations.