PAM AI Lead

FDJ UNITED

PAM AI Lead driving AI strategy execution within a leading European betting operator. Fostering AI culture and managing AI tools for enhanced workflow.

Posted 7/4/2026full-timeStockholm • 🇸🇪 SwedenSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates a strong understanding of AI applications in business, with a data-driven mindset for setting metrics and tracking adoption. Capable of leading change and fostering an AI-first culture while ensuring security and productivity balance.

Highest-signal resume keywords

AI Strategy ExecutionData-Driven Decision MakingStakeholder ManagementChange LeadershipMarket Awareness

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ApplicationsMetrics SettingKPI TrackingAI Tool AssessmentProductivity Improvement

Soft Skills

CollaborationInfluencingOrganizational SkillsCuriosityProactivity

Tools & Technologies

AI ToolsMCPsSkills Catalogue

Industry Keywords

AI AdoptionSecurity AwarenessCultural ChangeOperational ChangeInternal AI Community

About the role

Key responsibilities & impact

Be accountable for the execution of the AI strategy in PAM, driving outcomes, adoption and continuous improvement
Own the AI tool offering for PAM, ensuring the needs of the organisation are understood, documented and met with the right solutions
Set goals and KPIs for AI usage and outcomes within PAM, tracking data on costs, adoption rates and productivity improvements
Act as the primary point of contact for all AI-related questions and suggestions — both within PAM and across other Tech departments — driving common agendas and joint evaluations
Build and enable a community of internal AI ambassadors and technical experts, fostering an AI-first culture that inspires, trains and supports all team members
Run trials and assess new tools, maintaining market awareness and distinguishing between hype and realisable value
Own a PAM catalogue of approved and recommended MCPs and Skills, keeping it current and relevant
Safeguard AI tool usage in collaboration with Group Security, maintaining a healthy balance between productivity and security
Organise Geek Sessions and other training initiatives to build AI capability across the department
Collaborate cross-functionally with other Tech departments to share lessons learned and run joint efforts

Requirements

What you’ll need

Strong understanding of AI — its opportunities, risks and practical applications in a business context
Data-driven mindset — comfortable setting metrics, tracking adoption and using evidence to drive decisions
Market awareness — you keep a keen eye on AI developments and can separate meaningful trends from noise
Stakeholder management — able to engage, influence and collaborate across teams at all levels
Change leadership — comfortable driving cultural and operational change in a complex organisation
Security-conscious — understands the trade-offs between productivity and risk, and navigates them confidently
Highly organised — capable of managing multiple workstreams, priorities and stakeholders simultaneously
Curious and proactive — always looking for the next opportunity to empower colleagues and improve outcomes

Benefits

Comp & perks

Education and training initiatives to build AI capability across the department
Diverse and inclusive work environment