Program Manager

Adecco
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Engineering Manager, Data & Machine Learning

Product Manager III - Artificial Intelligence & Machine Learning Platform

Senior Manager, Data Science - eBay Live

Faculty Fellowship Programme - Data Science - May 2026

Senior Machine Learning Scientist (Viator)

Role Title: Program Manager

Office Location: UK - London

Duration: asap until 30 May 2025

Working Schedule: Hybrid Model (3 days p/ week in the office)

Working Hours: Normal business hours

Bonus Plan: Company (paid Yearly)

Hourly Rate: £46.15



The Role:


Drive outcomes for programs by developing end-to-end program plans and adjusting as necessary to stay on-track and achieve program goals.

Drive the development and curation of project, program, and portfolio management methodologies from best practices, processes, and tools.

Contribute to project scoping and manage program priorities and allocation of resources within the program.

Manage programs of an ambiguous nature involving cross-functional stakeholders by defining and streamlining new processes and organizing tasks into clear goals and objectives.

Develop trusted advisor relationships with key stakeholders offering support and direction to team members.

Responsibilities:

  • Deliver effective, strategic communications directed toward a variety of stakeholder groups/audiences in order to share and solicit information depending on the need.
  • Drive post-program implementation, cross-functional feedback collection, and facilitate discussions to follow up with stakeholders; propose and/or implement changes for continuous improvement.
  • Drive cross-functional strategic partnership between project teams and stakeholders.
  • Develop and lead strategic programs - Drive the establishment of key program metrics based on technical or program needs; manage cross-functional teams and drive action to ensure program success; develop, delegate, and lead corrective actions to address organizational challenges.
  • Drive identification, collection, and tracking of key metrics for program or project impact
  • Collaborate with team members and/or key stakeholders to understand or identify work problems and program goals, obtain prioritized deliverables, and discuss cross-function program impact.
  • Drive and review program goals and prioritization as the leader/stakeholder, translate stakeholders needs into program goals and prioritized deliverables.
  • Identify cross-functional product and service experts, developing positive working relationships and leveraging their expertise on the supported product/service to support or drive efforts on product/service improvement
  • Managing project/program roadmap - Drive the development of project/program roadmaps and use them to manage stakeholder expectations, Objectives and Key Results (OKRs) alignment
  • Drive establishment and tracking process in collaboration with cross-functional stakeholders
  • Drive development of interpretable insights from deep dives and data analysis, provide data-driven strategic recommendations that represent projects/programs from relevant business, product, and technical perspectives to cross-functional stakeholders at a variety of levels.
  • Stakeholder management - Drive project work by managing expectations and maintaining relationships with stakeholders to build rapport and credibility

Requirements:


  • Program management - Knowledge of the process of managing several related projects, often with the intention of improving an organization's performance.
  • Ability to communicate effectively through presentations
  • Solid experience in AI systems, machine learning systems
  • Ability to understand goals and corresponding levers to grow crucial business metrics, understanding the value that it brings to stakeholders.
  • Experience with Client/partner management
  • Good Consultative skills - Ability to understand stakeholder needs and make recommendations.
  • Data analysis experience
  • Experience and knowledge about the Tech Industry
  • Managing meetings effectively - Ability to set meeting agendas and understand the audience.
  • Storytelling - Ability to influence and inspire an audience by crafting stories using data that elicit empathy or create buy-in.

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.