AI SME with Programme Management experience

Barbican
3 months ago
Applications closed

Related Jobs

View all jobs

Automated Intelligence SME

Senior AI Security Engineer (GenAI & LLM Protection)

Trainee AI Engineer Placement Programme

Trainee AI Programmer Placemement Programme

Trainee AI Engineer Placement Programme

Trainee AI Programmer Placemement Programme

AI SME with Programme Management experience

Are you passionate about driving successful AI initiatives and enabling cross-functional teams to deliver high-impact solutions? We are seeking an experienced AI Programme Manager with strong technical understanding and hands-on familiarity with AI tools and delivery across multiple workstreams.

About the Role

As an AI Programme Manager, you will firstly scope out and then oversee the delivery of complex AI and machine learning programmes, ensuring they are delivered on time, within budget, and to a high standard. You’ll work closely with various stakeholders to ensure alignment, clarity, and measurable outcomes. Your blend of programme leadership, technical fluency, and agile expertise will be key to enabling successful AI adoption across the organisation.

Key Responsibilities

Discovery & Stakeholder Engagement

  • Conduct discovery phases to understand business needs, pain points, and opportunities for AI adoption.

  • Engage with stakeholders across the organisation—including product, operations, data, engineering, and leadership—to identify where AI/ML solutions can deliver value.

  • Assess current tools, workflows, and data readiness to inform prioritisation and solution design.

  • Translate stakeholder insights into actionable recommendations and scoped AI tool or model requirements.

  • Facilitate alignment on goals, success measures, and feasibility of proposed AI initiatives.

    Programme Leadership

  • Lead cross-functional teams to deliver AI programme objectives on schedule and within budget.

  • Develop and manage programme plans, budgets, and timelines across multiple related projects.

  • Ensure data assets, models, and documentation are discoverable, reusable, and aligned to organisational standards.

  • Track programme progress and performance metrics, identifying risks, issues, and dependencies early.

  • Oversee resource allocation and utilisation across multiple workstreams.

  • Ensure project outputs meet quality standards and contribute to wider programme goals.

  • Support programme-level risk management and mitigation activities.

    Agile Delivery & Continuous Improvement

  • Drive continuous improvement of AI development processes.

  • Facilitate core Agile ceremonies such as standups, sprint planning, reviews, and retrospectives.

  • Remove impediments that hinder team progress and support efficient delivery.

  • Shield delivery teams from external distractions to maintain focus and productivity.

  • Coach team members in Agile principles and frameworks such as Scrum, Kanban, and Data-Driven Scrum.

  • Act as a servant leader, supporting the well-being, growth, and onboarding of team members.

    What We’re Looking For

  • Proven experience managing and delivering AI programmes

  • Hands-on background or strong working knowledge in data analytics, data science, or AI engineering.

  • Solid understanding of AI technologies, data processing, the AI lifecycle, SQL, and cloud-based systems.

  • Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.

  • Strong organisational and problem-solving abilities with a focus on delivery excellence

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.