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Programme Manager - RLM

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Onsite

Programme Manager - RLM

Expleo

Programme Manager - RLM

Skills

Data AnalysisMachine LearningAIAWSChange ManagementBudgetingFinancial PlanningSupply Chain ManagementSupply Chain

9 days ago

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Important information


Contract type:

Permanent

Location:

Dubai - United Arab Emirates

Work mode:

Onsite

Published on:

12 October 2026

What they need


Overview

Programme Manager - RLM

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

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