Technology Foundations Lead

Atlas Copco Group; Burgess Hill; Remote; GBP 90,000 - 130,000; Full time

Job summary

Atlas Copco Group is seeking a Senior Programme Manager to consolidate AI foundations roadmaps across Vacuum AI streams and lead execution to prevent delivery slips. You will harmonize demand from business, AI product teams, and Vacuum AI streams, prioritising for platform leaders to focus on core platforms.

The role requires extensive experience leading large, multi-stream technology programmes, building delivery teams, and a strong understanding of data and integration foundations across

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• Extensive experience leading large, multi-stream technology programmes or portfolios, with a track record of delivering against a roadmap.
• Experience building and leading engineering delivery teams, including partner capacity.
• Credibility with architects and engineers in modern data and integration: data platforms such as Databricks, Azure integration services, APIs and events, and SAP integration.
• Strong understanding of enterprise architecture and of how AI solutions depend on data and integration foundations.
• Proven ability to align demand and resolve competing priorities across many stakeholders without direct authority over them.
• Strong roadmap, investment case and capacity planning skills.
• Ability to influence senior stakeholders and explain complex technology in business terms.
• Fluent English and willingness to work in a global, collaborative environment

Responsibilities

• Consolidate the foundation roadmaps across Vacuum AI streams into one AI foundations roadmap and lead execution so delivery stays on track.
• Bring together demand from the business, AI product teams and Vacuum AI streams; smooth conflicting requests into one sequence for platform leaders.
• Agree the order of modernisation with Data & Integration platform teams based on Vacuum AI roadmaps.
• Build and lead ring-fenced fast-track teams delivering new data products and integrations to platform architects’ designs.
• Coordinate the business cutover with legacy platform owners to retire legacy systems on production arrival of new data products.
• Act as bridge across architects on decisions affecting AI foundation; drive consensus with Enterprise Architecture.
• Run regular forum for dependencies that matter to Vacuum AI to expedite decisions.
• Unlock investment by building technology business case with platform leads and track spend and benefits.

Skills

Bachelor's degree

Multi-stream programmes

Engineering delivery teams

Databricks

Azure integration services

APIs and events

SAP integration

Stakeholder management

Enterprise architecture

Fluent English

Education

Bachelor's degree

Master's degree

Tools

Databricks

Azure integration services

APIs and events

SAP integration

Job description

• Consolidate the foundation roadmaps of the Vacuum AI streams into one AI foundations roadmap, and lead execution against it so delivery does not slip.
• Bring together demand from the business, the AI product teams and the Vacuum AI streams. Priorities come from the business and the product teams; you smooth conflicting and overlapping requests into one sequence, so platform leaders can focus on their platforms.
• Agree the order of modernisation with the Data & Integration platform teams, based on the Vacuum AI roadmaps.
• Build and lead ring-fenced fast-track teams that deliver new data products and integrations to the platform architects’ designs and hand them over to the platform teams to accept into production, own and run.
• Coordinate the business cutover with legacy platform owners, so they can retire legacy systems once the new data products are accepted into production.
• Act as the bridge across architects on decisions that affect the AI foundation: bring them to Enterprise Architecture and keep them moving, so consensus‑seeking never stalls delivery.
• Run a regular forum where dependencies that matter to Vacuum AI are raised and escalated for faster decisions.
• Unlock investment: build the technology business case with platform leads and product owners, track spend and benefits, and report progress, risks and decisions to executive leadership.
• Plan the capability and capacity needed across internal teams and strategic partners.

• Consolidate the foundation roadmaps of the Vacuum AI streams into one AI foundations roadmap, and lead execution against it so delivery does not slip.
• Bring together demand from the business, the AI product teams and the Vacuum AI streams. Priorities come from the business and the product teams; you smooth conflicting and overlapping requests into one sequence, so platform leaders can focus on their platforms.
• Agree the order of modernisation with the Data & Integration platform teams, based on the Vacuum AI roadmaps.
• Build and lead ring-fenced fast-track teams that deliver new data products and integrations to the platform architects’ designs and hand them over to the platform teams to accept into production, own and run.
• Coordinate the business cutover with legacy platform owners, so they can retire legacy systems once the new data products are accepted into production.
• Act as the bridge across architects on decisions that affect the AI foundation: bring them to Enterprise Architecture and keep them moving, so consensus‑seeking never stalls delivery.
• Run a regular forum where dependencies that matter to Vacuum AI are raised and escalated for faster decisions.
• Unlock investment: build the technology business case with platform leads and product owners, track spend and benefits, and report progress, risks and decisions to executive leadership.
• Plan the capability and capacity needed across internal teams and strategic partners.

Your Skills And Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• Extensive experience leading large, multi-stream technology programmes or portfolios, with a track record of delivering against a roadmap.
• Experience building and leading engineering delivery teams, including partner capacity.
• Credibility with architects and engineers in modern data and integration: data platforms such as Databricks, Azure integration services, APIs and events, and SAP integration.
• Strong understanding of enterprise architecture and of how AI solutions depend on data and integration foundations.
• Proven ability to align demand and resolve competing priorities across many stakeholders without direct authority over them.
• Strong roadmap, investment case and capacity planning skills.
• Ability to influence senior stakeholders and explain complex technology in business terms.
• Fluent English and willingness to work in a global, collaborative environment

We encourage you to apply even if you don't meet every single requirement. We value diverse experiences and perspectives and are excited to see what you bring to the role.

Your Compensation And Benefits

At Atlas Copco Group, we are committed to fair and equitable compensation. Compensation is determined based on the position and its responsibilities, without regard to gender, race, ethnicity, religion, physical ability, sexual orientation, marital status, or any other protected characteristic. Our compensation offering is designed to be locally relevant, competitive, and aligned with the expectations of current and future talent.

Beyond compensation, we believe that a rewarding career is about having opportunities to learn, grow, contribute, and develop in an environment built on trust, collaboration, and continuous improvement. At Atlas Copco Group, we support our people in building long-term careers while making a meaningful impact through their work.

Your job location

This is a flexible, global role with occasional travel to support programme delivery and engagement with stakeholders across the Vacuum Technique Business Area.

If you want to help shape how people, organisation and AI come together to create lasting business value, we would welcome your application.

Why it is great to work with us

Your career grows through your skills, your curiosity, and the people you work with. You join a global network where we learn from each other and share knowledge openly. We focus on long‑term development and encourage you to explore new ideas that help us move forward. Innovation is part of how we think and act – we test, improve, and use what we learn to create solutions that matter. You can make a meaningful impact by contributing with your insights and taking ownership of your work, supported by flexible ways of working and leaders who empower you.

Application process

Our selection process includes interviews and, for some roles, skills assessments that help us gain a deeper understanding of your profile. We look forward to getting to know you, learning about your strengths, and discussing how you can grow with us. If you have questions during the process or need support, please contact us:

About

Talent Acquisition: Kirsty George