Senior Project Manager

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.

Responsibilities

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.

Requirements

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 workstreams; 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 within 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 PRINCE2; 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.

Nice to have

PMP, PRINCE2, Agile, or Scrum certification; Cloud platforms such as Azure or AWS; Industrial IoT, SCADA, MES, or Operational Technology (OT) environments; AI, Machine Learning, Data Engineering, or Analytics implementation projects.

Benefits

Opportunity to work at the forefront of Industrial AI; Partner with leading industrial organisations to solve complex, real-world challenges; Collaborative, inclusive, and fast-moving environment; Encouragement of innovation, curiosity, and continuous learning; Diverse perspectives valued.