Senior Project Manager

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.

Our Moonshot is bold:
Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

At Cognite, we’re transforming the world’s most asset-intensive industries through Industrial AI. Our customers rely on us to turn complex industrial data into meaningful business outcomes—and this is where you come in.

We’re looking for a Project Manager who enjoys solving complex challenges, takes ownership of outcomes, and is motivated by delivering measurable value. This role goes beyond managing timelines; you’ll lead transformational AI implementation projects that help some of the world’s largest industrial organisations modernise the way they operate.

From contract signing through deployment and value realisation, you’ll partner with customers and cross‑functional teams to deliver successful projects that create lasting business impact.

• Leading end-to-end project delivery from kickoff through deployment, adoption, and value realisation.
• Owning project scope, schedule, budget, quality, customer outcomes and commercial performance.
• Collaborating with Solution Architects, Software Engineers, Data Scientists, Product teams and Customer Success to deliver high‑quality solutions.
• Translating customer objectives into measurable success metrics and facilitating Value Realisation Workshops to demonstrate business impact.
• Managing project financials, including forecasting, revenue recognition, profitability, cost management and reporting.
• Building trusted relationships with customer stakeholders, leading steering committees and providing clear communication throughout the project lifecycle.
• Identifying and managing risks, dependencies and scope changes while ensuring appropriate governance and transparency.
• Supporting customer adoption through change management, enablement and training while recognising opportunities to expand customer value.
• Contributing to the continuous improvement of delivery practices by applying Cognite’s PMO methodologies, playbooks and lessons learned.

• A Bachelor's degree in Engineering, Computer Science or a related technical discipline.
• 5+ years of experience delivering complex software, SaaS, cloud or enterprise technology implementation projects.
• Experience managing enterprise or industrial digital transformation programmes involving multiple stakeholders and technical work streams.
• Technical fluency with APIs, integrations, cloud platforms, data architecture and enterprise systems, enabling effective collaboration with technical teams and informed decision‑making.
• Strong commercial and financial acumen, including forecasting, revenue recognition, margin management and project profitability.
• Experience with in one or more industrial sectors, including Energy, Manufacturing, Oil & Gas, Chemicals, Utilities, Power & Renewables or Life Sciences.
• Experience working with Agile delivery methodologies and project governance frameworks such as Scrum, PMP or PRINCE
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• Excellent communication and stakeholder management skills, with the ability to engage confidently across technical teams, customers and executive stakeholders.
• Experience using project management tools such as Jira, Confluence, Microsoft Project or Smartsheet.
• Willingness to travel up to 25% as required.

• PMP, PRINCE2, Agile or Scrum certification.
• Cloud platforms such as Azure or AWS.
• Industrial IoT, SCADA, MES or Operational Technology (OT) environments.
• AI, Machine…