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Supply Chain Systems Manager – Optimisation And Delivery

BOOTS

City Of London

On-site

GBP 45,000 - 65,000

Full time

Today
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Job summary

A leading pharmacy retail chain is seeking a Supply Chain Systems Manager to manage and optimise their Forecasting and Replenishment systems. You will collaborate across teams to ensure smooth operations and system improvements, requiring technical knowledge of Azure and coding. The ideal candidate will have strong management and stakeholder engagement skills, and the role offers comprehensive benefits including a retirement savings plan and employee discounts.

Benefits

Boots Retirement Savings Plan
Discretionary annual bonus
Generous employee discounts
Enhanced maternity/paternity/adoption leave pay
Flexible benefits scheme
Access to free counseling and support

Qualifications

  • Ability to manage, coordinate, and deliver technical development.
  • Capacity to influence IT proposals for optimal outcomes.
  • Senior stakeholder management skills.

Responsibilities

  • Manage improvements for Forecasting and Replenishment system.
  • System optimisation and workflow streamlining.
  • Collaborate with IT on change delivery.

Skills

Management of systems & change management
Understanding of IT proposals
Technical knowledge of Azure cloud
Deep technical coding knowledge (Python, SQL, Py.spark)
Understanding of AI/ML methodologies
Stakeholder management
Job description
Supply chain Systems Manager - Optimisation and Delivery

Contract: Permanent

Nottingham

Recruitment Partner: Vyoma Gandhi

About the role

Reporting to the Head of Planning & Continuous Improvement and working closely with Planning/CI/Op Ex Managers, the Replenishment team, the Invent hub team, and IT teams (all levels), the Systems Optimisation, Development and Delivery Manager will manage improvements relating to our Forecasting and Replenishment system (Invent.ai) to ensure we are running optimally, as well as understanding the wider supply chain systems landscape to support and maintain day‑to‑day smooth running of all systems to support business and operational plans.

The role is accountable for a system replenishing the entire Boots estate of 18M item:store pair combinations and inventory value of c. £700m and is a key player in delivering the F&R business case outcomes of 1% OSA and 10% stock reduction.

Key responsibilities
  • System optimisation - parameter tuning, workflow streamlining, automation.
  • Triage incoming requests from the business, prioritising based on impact, urgency, and alignment with strategic goals.
  • First line of advisory for micro‑level system change requests before escalation.
  • Maintenance of all design documentation and version control.
  • Responsible for ensuring appropriate systems support is in place.
  • Digital twin modelling – impact simulation for change requests.
  • Change requests – evaluate, test, and deliver smaller changes (escalate strategic ones to Strategy Manager).
  • Collaborate with IT on change delivery, testing, and deployment.
  • Integration work – ensure smooth data flow between systems (ERP, forecasting, supplier tools).
  • Data science driven analysis for operational efficiency improvements.
  • Collaboration with replenishment specialists to ensure user needs are met.
  • Maintain/update systems development roadmap aligned with business strategy.
  • Maintain deep understanding of system functionality, parameters, and configuration rules.
  • Support Operational Excellence and CI teams with any training, guidance, and support requirements and materials.
  • Participate in cross‑functional projects, ensuring the system perspective is always represented.
  • Serve as the bridge between the Supply Chain CoE, IT and replenishment specialists.
What you’ll need to have
  • Management, coordination and delivery of technical development of systems & change management.
  • Ability to understand and influence IT proposals, challenging appropriately to achieve optimal outcomes.
  • Deep technical knowledge of Azure cloud, coding language (e.g. Python, Sequel, Py.spark).
  • Working understanding of AI/ML and agentic AI methodologies.
  • Detailed knowledge of the end-to-end supply chain operation with ability to make appropriate trade-offs.
  • Senior stakeholder management and influence.
It would be great if you also have
  • Technical expert of core forecasting and replenishment system – Invent.
  • Good understanding of current forecasting and replenishment system – Epsom.
  • Deep understanding of all other systems falling within this remit.
Our benefits
  • Boots Retirement Savings Plan
  • Discretionary annual bonus
  • Generous employee discounts
  • Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
  • Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.
  • Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.

We have a great range of benefits in addition to the above that offer flexibility to suit you – find out more at boots.jobs/rewards. Exclusions may apply, eligible roles only. Please note, any salary estimates given on third‑party sites are not provided or endorsed by Boots and may not be accurate.

Why Boots

At Boots, we foster a working environment where consideration and inclusivity help everyone to be themselves and reach their full potential. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all. As the heart of everything we do at Boots, with you, we change for the better.

What’s next

Where a role is advertised as full‑time, we are open to discussing part‑time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best.

Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case‑by‑case basis.

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