Technology Foundations Lead

Atlas Copco; Köln; Remote; EUR 120,000 - 180,000; Full time

Job summary

Atlas Copco is seeking a senior program leader to consolidate AI foundation roadmaps for Vacuum AI streams and drive delivery across multiple streams. You will align business demand with AI product teams and platform architects, shaping the modernization sequence while building and leading fast-track delivery teams to production.

This role requires strong enterprise-architecture insight and the ability to influence senior stakeholders in a global, collaborative setting.

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.
• 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 of the Vacuum AI streams into one AI foundations roadmap and lead execution to prevent delays.
• Coordinate demand from business, AI product teams, and Vacuum AI streams; smooth conflicting requests into a single sequence for platform leaders.
• Agree the order of modernisation with Data & Integration platform teams based on Vacuum AI roadmaps.
• Build and lead fast-track data product delivery teams and hand over to platform teams for production ownership.
• Coordinate business cutover with legacy platform owners to retire old systems.
• Bridge across architects on AI foundation decisions to keep momentum with Enterprise Architecture.
• Run a regular forum to raise and escalate Vacuum AI dependencies for faster decisions.
• Secure investment by building technology business cases, tracking spend and benefits, and reporting to executives.
• Plan capacity and capability needs across internal teams and strategic partners.

Skills

Large-scale programs

Engineering delivery

Databricks

Azure integration

APIs & events

SAP integration

Enterprise architecture

Stakeholder management

Roadmap planning

Strategic influence

Education

Bachelor/Master in CS/Engineering/Information Systems

Tools

Databricks

Azure

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.

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 abouthaving 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 VacuumTechnique 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:

Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we are uniting curious minds, and you could be one of them.

Atlas Copco Group enables technology that transforms the future. We innovate to develop products, services and solutions that are key to our customers' success. Our four business areas offer technologies for air and gas compression, vacuum and abatement, automated assembly and quality control, mobile energy management and power generation as well as portable and industrial flow technologies.