Cognite - AI for Industry
London Colney, Hertfordshire
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. How you'll demonstrate Ownership 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. The Impact you bring to Cognite 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. Required Qualifications 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. Preferred skills 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. Why Cognite? At Cognite, you'll have the opportunity to work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve complex, real world challenges. You'll join a collaborative, inclusive, and fast moving environment where innovation, curiosity, and continuous learning are encouraged. We value diverse perspectives and believe great ideas come from people with different experiences and backgrounds. If you're excited by technology, enjoy working with customers to solve meaningful problems, and want to help shape the future of industry, we'd love to hear from you. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
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. How you'll demonstrate Ownership 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. The Impact you bring to Cognite 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. Required Qualifications 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. Preferred skills 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. Why Cognite? At Cognite, you'll have the opportunity to work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve complex, real world challenges. You'll join a collaborative, inclusive, and fast moving environment where innovation, curiosity, and continuous learning are encouraged. We value diverse perspectives and believe great ideas come from people with different experiences and backgrounds. If you're excited by technology, enjoy working with customers to solve meaningful problems, and want to help shape the future of industry, we'd love to hear from you. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.