VP Data Scientist
Key Responsibilities
------------------------
Strategic Leadership \& AI Positioning:
- + Define and execute the European AI First strategy and multi‑year roadmap, aligned to global priorities and regional growth ambitions.
+ Partner with country and industry leadership to embed AI into offerings, GTM strategies, and investment priorities.
+ Drive C‑suite level AI conversations focused on business value, operating model transformation, and measurable ROI.
Deal Leadership \& Growth:
- + Drive AI‑led revenue growth, pipeline development, and deal conversion across Europe.
- AI architecture and engineering choices
- Agentic and generative AI integration
- Commercial and delivery models
+ Ensure consistent adoption of industrialised AI delivery patterns, accelerators, and commercial frameworks across countries.
AI Delivery \& Excellence
- + Accountable for predictable, high‑quality delivery of large‑scale AI transformation programmes across multiple countries.
+ Embed strong engineering standards, platform thinking, and lifecycle governance across European AI engagements.
+ Improve delivery margin, time‑to‑value, and client satisfaction on AI programmes.
Key responsibilities
------------------------
AI‑Enabled Transformation
- + Drive adoption of new tools, skills, and operating models required for:
- GenAI at scale
- Agentic systems
- AI‑augmented delivery and productivity
Development
- + Build and evolve European AI, data, and engineering capabilities through:
- Structured upskilling and certification
- Leadership development
- Strategic hiring
+ Improve consistency of skills, quality, and delivery maturity across all European countries.
Asset Adoption \& Innovation
- + Drive regional reuse of AI assets, accelerators, platforms, and patterns to accelerate outcomes and reduce delivery risk.
+ Foster innovation and co‑creation with clients, partners, and start‑ups to deliver industry‑specific AI solutions.
+ Align industry, delivery, and platform teams to maximise scale and impact.
Ecosystem \& Market Influence
- + Strengthen Capgemini’s role within the European AI ecosystem, engaging with hyperscalers, academia, alliances, and public sector bodies.
Governance \& Responsible AI
- + Ensure compliance with Group‑wide AI governance, ethics, security, and regulatory standards.
+ Maintain strong oversight across AI engagements.
Essential Experience
------------------------
- Senior leadership experience in AI, digital, cloud, or large‑scale technology transformation.
- Proven success leading multi‑country or multi‑disciplinary teams in a complex, matrixed environment.
- Strong track record of winning and delivering enterprise‑scale transformation programmes.
- Executive presence and the ability to influence senior client and partner stakeholders.
- Deep understanding of AI technologies, architectures, engineering practices, and cloud environments.
- Demonstrated ability to lead across geographies within a global delivery model.
- Background in consulting or professional services.
- Current residence in UK, Spain, Netherlands or Germany
------------------------
- Experience engaging with European regulators or industry bodies.
- Strong understanding of European markets, cultural dynamics, and the technology landscape.
---------------------
At Capgemini, we help organizations across the world become more agile, competitive, and successful. You’ll work in a collaborative, forward\-thinking culture where innovation and transformation are at the heart of everything we do.
About Capgemini
-------------------
Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing, and retaining the best people to deliver innovative, world\-class solutions for our clients.
Diese Anzeige stammt von indeed. Originalanzeige ansehen ↗