Senior Project Manager

Cognite Cognite · Industrial · UK England · Value Delivery

Project Manager role focused on delivering complex Industrial AI implementation projects for asset-intensive industries. The role involves end-to-end project delivery, managing scope, budget, and customer outcomes, and collaborating with technical teams to drive operational improvements and business impact.

What you'd actually do

  1. Leading end-to-end project delivery from kickoff through deployment, adoption, and value realisation.
  2. Owning project scope, schedule, budget, quality, customer outcomes, and commercial performance.
  3. Collaborating with Solution Architects, Software Engineers, Data Scientists, Product teams, and Customer Success to deliver high-quality solutions.
  4. Translating customer objectives into measurable success metrics and facilitating Value Realisation Workshops to demonstrate business impact.
  5. Managing project financials, including forecasting, revenue recognition, profitability, cost management, and reporting.

Skills

Required

  • 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.

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.

What the JD emphasized

  • delivering successful projects
  • measurable value
  • complex industrial data
  • complex challenges
  • technical fluency