Senior Technical Program Manager – AI Product & SDLC

Company: Marks & Spencer
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Job Description:

Overview

In this role you will lead the delivery of AI product and software development lifecycle programmes, ensuring they stay aligned with outcomes, timelines, and investment goals. You will shape portfolio plans and governance, manage risks and dependencies, and provide data-driven reporting to guide decisions. You will collaborate with Technology, Product, Engineering, and Business teams to drive delivery excellence and coach Technical Programme Managers. This is a chance to influence digital transformation in a leading retail company and contribute to an inclusive, future‑focused culture.

Pay / Benefits

  • 20% colleague discount after probation
  • holiday entitlement with option to buy extra
  • discretionary bonus schemes
  • Defined Contribution Pension Scheme and Life Assurance
  • tailored induction and training programmes
  • wellbeing support including 24/7 Virtual GP and PAM Assist

Responsibilities

  • Lead delivery of AI Product and SDLC programmes, ensuring alignment with outcomes, timelines, quality standards and investment objectives
  • Shape portfolio plans, governance and roadmap priorities, and manage risks, dependencies and delivery activities
  • Deliver data-driven portfolio performance reporting to support decision-making
  • Partner with Technology, Product, Engineering and Business teams to build alignment and resolve challenges
  • Develop and support Technical Programme Managers, fostering continuous improvement and delivery excellence

Key requirements

  • Experience delivering complex technology programmes across multiple teams and priorities
  • Programme and portfolio management experience including planning, governance, dependency management and risk management
  • Comfortable in evolving environments, providing structure and clarity
  • Ability to build trusted relationships and influence stakeholders through clear communication
  • Experience leading or coaching delivery teams with strong execution and attention to detail
  • clear communication
  • collaboration
  • influence and stakeholder management
  • AI product delivery
  • Software Development Lifecycle
  • programme and portfolio governance

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Posted: October 12th, 2026