Company: Capgemini Invent

Location: London

Job Description:

Capgemini Invent

Shaping and executing enterprise data transformation: Driving enterprise-level transformation projects, including designing data platforms, establishing robust governance frameworks, and embedding scalable AI and analytics solutions.
Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries.
Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing insights that bridge the gap between technical capabilities and business goals.
Portfolio and account management: Overseeing diverse project portfolios, managing commercial outcomes, and fostering strong client relationships to ensure sustainable growth.
Scaling delivery: Leading multidisciplinary teams in agile and lean environments, ensuring timely delivery of impactful, high-quality solutions.
Fostering capability building: Empowering teams through coaching, training, and mentoring to enhance organisational data and AI competencies.

Business Development: Leading or contributing to proposals, bids, and RFP responses, as well as proposition development and hosting client events.
Internal Initiatives: Supporting practice development, operational excellence, recruitment, team activities, and thought leadership via whitepapers and campaign development.
Learning & Development: Enhancing skills through certifications, training, and personal career growth aligned with the company’s strategic focus.

Proven success in a consulting or client-facing role, including the ability to design and deliver complex data and AI solutions and explain and own their impact.
Significant experience managing senior stakeholders and acting as a trusted advisor.
Demonstrated capability in agile methodologies, governance, and multi-workstream leadership.
Commercial acumen, including proposal writing, project financials, and business development.
Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI.

A track record of building high-performing teams and mentoring senior professionals.
A commitment to fostering inclusive, collaborative, and growth-oriented cultures.

Demonstrated ability to cultivate and sustain relationships with senior executives across various industries.
Actively participates in industry networks owning your own relationships and building your profile externally.
An passion that is contagious for your chosen industries.

Extensive experience in delivery ownership for analytics and AI programmes delivering with global teams and realizing commercial value.

Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (Microsoft Fabric, Databricks, Snowflake).
Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications.
Strong knowledge of generative AI tools, geospatial analytics, and data modelling.
Expertise in Power Platform and Apps components (Power Apps, Canvas, Model Driven, Automate, Dataverse, Copilot Studio).

Experience in creating reusable assets to drive value with clients and creating ‘go to market’ strategies to successfully implement with clients.
Experience with Agentic and Generative AI solutions in the Business Intelligence landscape.
Agile SAFE or similar.
Experience in data ingestion, integration, governance, and solution design.
Familiarity with data quality frameworks, observability tools, and automation.

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Posted: May 17th, 2026