Engagement Manager

Engagement Manager

[Employer hidden — view at passion-project.co.uk] is seeking an Engagement Manager to lead client relationships, shape projects, and ensure impactful delivery across our AI and analytics portfolio. You will sit at the intersection of clients and technical teams, turning complex challenges into clear, achievable plans and then seeing them through to measurable outcomes.

Key responsibilities

• Lead and manage day-to-day client engagement, from initial discovery and scoping through to demonstrating ROI and embedding solutions.
• Own client on/off‑boarding, including key meetings, documentation, and processes that set projects up for success.
• Work closely with Business Development, supporting proposals, pitches, and shaping new opportunities with potential clients.
• Coordinate cross-functional teams of engineers, software developers, AI/ML modellers, analysts and data scientists, ensuring everyone is aligned on outcomes, timelines and responsibilities.
• Run core project management activities: defining scope, governance and decision-making forums, stakeholder management, risk and issue tracking, and high-level plans.
• Help translate technical work into clear stories, recommendations, and narratives for non-technical stakeholders, including C‑suite audiences.
• Prepare and present client deliverables such as presentations, progress updates, and reports that drive decisions and action.
• Manage and develop a small team of analysts/consultants through coaching, feedback, and career development conversations

What We Are Looking For

• Strong evidence of commercial impact in previous roles, for example: owning or supporting projects that delivered clear business outcomes, ROI, or material operational improvements.
• Experience leading client-facing projects or work-streams in a consulting, professional services, or internal change/transformation environment.
• Solid project management skills: defining scope and objectives, managing stakeholders, coordinating cross-functional teams, and keeping delivery on track for time and budget.
• Ability to work with data and analytics concepts at a conversational level (e.g. you can understand what data scientists and engineers are doing and ask good questions, even if you don’t build models yourself).
• Excellent consulting, communication and interpersonal skills, with confidence working with senior stakeholders and facilitating workshops or steering sessions.
• Experience building an engaged team (formal or informal), including mentoring, coaching, and supporting others’ development.