AFRY
engineering, design, and advisory services, infrastructure, industry, energy and digitalization
AIDevelopmentProjectManager
“AI Development Project Manager at AFRY. Skills: AI Development Project Manager, project management, AI initiatives, AI use cases, AI development portfolio. Coordinate and drive AI initiatives across operations within Global Division Industry. Develop and maintain AI development portfolio with prioritization routines”
What You'll Achieve.
prioritized, active AI portfolio with deployed use cases; clear ownership; demonstrated value in Client delivery or internal efficiency
Industry & Context.
initially offered as a one-year fixed-term position
What They're Looking For.
Must Have
Solid experience in project or program management within IT, engineering, industrial projects or consulting, Proven ability to drive cross-functional development initiatives in complex organizations, understanding of engineering and project delivery processes (e.g. design, execution, project management, quality, safety), Practical exposure to data, digital or AI-enabled solutions, Hands-on AI development capability, such as experience building simple AI tools, agents, prototypes or automations to test, demonstrate and challenge use cases, Ability to structure, prioritize and communicate clearly with both technical and business stakeholders, A pragmatic, delivery-oriented mindset – focused on impact rather than hype, Fluency in English
Nice to Have
Experience from industrial digitalization, engineering tools, data platforms, automation or AI adoption
What You'll Do.
Coordinate and drive AI initiatives across operations within Global Division Industry
Develop and maintain AI development portfolio with prioritization routines
Translate delivery and project needs into practical AI use cases and prioritized development backlogs
Work closely with engineering teams
data/AI specialists and IT to ensure AI initiatives are feasible
and aligned with tools roadmaps
Ensure AI solutions are deployed with clear ownership
governance and adoption in organizations
Support selected AI initiatives in sales
bid processes and internal efficiency (e. g. planning
Track value realization
risks and dependencies
ensuring AI development stays aligned with business priorities
Act as a bridge between strategy
operations and technical implementation
How You'll Work.
Team & Collaboration
Work closely with engineering teams, project managers, data/AI specialists and IT; Regular collaboration with Nordic and international teams
Communication Scope
communicate clearly with both technical and business stakeholders
Process & Methodology
project management, program management, AI development portfolio management, prioritization routines, development backlogs, tracking value realization, risk tracking, dependency tracking
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