Product Manager

Role Overview

Roadmap & Prioritisation

• Own the AI portfolio roadmap and prioritisation, sequencing delivery and articulating trade-offs and rationale transparently to stakeholders.
• Translate the product features and requirements owned by the Practice Head (Product Owner) into a prioritised, deliverable plan.
• Rationalise the existing roadmap toward the highest-value outcomes across the portfolio.

Delivery Coordination

• Ensure the Dev / QA team completes the solution design (high-level and low-level design) ahead of build, with input from the Cloud, Data, Cyber Security and DevOps practices.
• Partner closely with the development, QA and DevOps teams and the Cyber Security, Cloud and Data practices throughout delivery, maintaining disciplined scope control against the agreed requirements.

Security, Compliance & Responsible AI

• Ensure security, compliance and responsible-AI requirements are captured, prioritised and gated as part of the definition of done — with all security owned by the Cyber Security practice, supported by the DevOps and Data practices.
• Obtain the security assessment report from the Cyber Security practice for each product, review the findings, and ensure they are prioritised and remediated before release.

Release & Version Governance

• Establish a predictable release cadence and consistent versioning across the portfolio — covering both products and their underlying models — ensuring full traceability of what changed and when.

Governance & AI Management System (ISO/IEC 42001)

• Adhere to and enforce Expleo's ISO/IEC 42001 (AI Management System) process for each product, working with the process team to embed it across the product lifecycle.
• Ensure every product complies with the ISO/IEC 42001 standard and maintains its certification, in line with Expleo's governance requirements.
• Support the internal ISO/IEC 42001 audit conducted for each Expleo product — providing product evidence, coordinating audit responses, and driving identified findings to closure.
• Support external certification and surveillance audits with the artefacts and evidence required to achieve and maintain certification.

Production Roll-out & Adoption

• Support the production roll-out of each AI product — coordinating deployment readiness, go-live and post-go-live stabilisation with the delivery, operations and Cloud practice teams, aligned to the go-to-market plan led by the Practice Head.
• Own post-launch adoption and revenue KPIs, monitoring performance and initiating corrective action where required.

Client Engagement & Product Support

• Participate in client demonstrations and steering discussions, understanding client needs and relaying them to the Practice Head (Product Owner) for requirement definition.
• Liaise with the development, QA and DevOps teams and the Cyber Security, Cloud and Data practices to translate the agreed requirements into delivery.
• Once the product is delivered into the client environment, initiate and coordinate ongoing product support.

Portfolio Health & Lifecycle Decisions

• Review product health on a quarterly basis and provide data-driven invest, maintain or retire recommendations to the Practice Head, including managed product sunset where appropriate.

Essential Qualifications & Experience

• A minimum of 12 years' experience in product management roles for B2B digital products, including at least one product taken through a full lifecycle stage transition.
• Demonstrable experience with cloud delivery models and direct commercial engagement, including participation in customer steering forums.
• Proven command of release management and versioning discipline, consistently delivering predictable, well-governed product releases.
• A strong appreciation of security, compliance and responsible-AI considerations as product requirements, with experience collaborating with cyber security, DevOps, cloud and data functions.
• Excellent written communication skills, with the ability to drive decisions through well-structured documentation.