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SG Group

Experienced AI Delivery Lead

SG Group

. Lead AI initiatives from qualification and business case through discovery, design, build, validation, deployment, adoption and benefits tracking .

Posted 10/7/2026full-timeParis • FranceSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI initiatives, project management, and delivering complex data science and analytics solutions. Proficient in aligning business needs with measurable outcomes while ensuring compliance with governance and security standards.

Highest-signal resume keywords
AI Initiative LeadershipProject ManagementAI/ML Solution LifecycleData Privacy and SecurityStakeholder Alignment

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Delivery ExpertiseData ScienceAdvanced AnalyticsMLOps/LLMOpsCloud PlatformsModel EvaluationIntegrationBusiness Case DevelopmentUse Case TranslationROI Assessment
Soft Skills
Decision FacilitationCommunicationTraining and User AdoptionLeadership Without Authority
Certifications & Qualifications
Bachelor’s DegreeMaster’s Degree
Industry Keywords
AutomotiveMobilityLeasingFinancial ServicesRegulated Industry

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Lead AI initiatives from qualification and business case through discovery, design, build, validation, deployment, adoption and benefits tracking
  • Establish clear scope, outcomes, milestones and acceptance criteria
  • Own integrated delivery plans, budget follow-up, dependencies, risks, issues and decisions
  • Ensure projects meet agreed quality, timing and value expectations
  • Apply practical AI, GenAI, data science and analytics delivery expertise to assess feasibility and challenge solution approaches
  • Anticipate data, model, integration, security and operationalization constraints
  • Translate business needs into structured use cases and measurable success criteria
  • Prioritize opportunities based on business value, feasibility, scalability, governance readiness and expected ROI
  • Align sponsors, product owners, countries, Data Science, Engineering, IT, Architecture, Security, Risk, Legal and central teams
  • Facilitate decisions and provide visibility on progress, risks and actions
  • Embed architecture, security, privacy, legal, risk and AI governance validations into delivery plans
  • Coordinate operational handover and monitoring
  • Integrate communication, training and user adoption into delivery

Requirements

What you’ll need
  • Proven experience delivering complex AI, data science, advanced analytics or digital initiatives, preferably from discovery through production and adoption
  • Strong project management capabilities, including scope, planning, RAID management, executive reporting and delivery governance
  • Solid understanding of AI/ML and GenAI solution lifecycles, data requirements, experimentation, model evaluation, cloud platforms, integration, MLOps/LLMOps and production monitoring
  • Ability to connect AI opportunities to business processes, measurable outcomes, ROI and strategic priorities
  • Demonstrated ability to lead without direct authority and align senior sponsors, business owners, technical teams and control functions in an international environment
  • Working knowledge of responsible AI, data privacy, security, architecture and legal or compliance requirements
  • Bachelor’s or Master’s degree in Information Technology, Computer Science, Data Science, Engineering, Mathematics, Statistics, Business or a related field
  • Typically 10+ years of relevant experience
  • Experience in automotive, mobility, leasing, financial services or another regulated industry is an advantage
  • Fluent in English is required

Benefits

Comp & perks
  • Comprehensive rewards and recognition
  • Professional growth opportunities
  • Rewards and incentives
  • Training and experience on the job
  • Healthy, positive work atmosphere
  • Shared sense of belonging
  • Opportunity to contribute to a sustainable future