C

Capgemini

Global consulting, technology services, outsourcing

Senior Manager - Enterprise Data & Analytics, AI Factory

Technology & Systems ConsultingUpdated on Nov 3
Full-timeNo salary listed

About the Job

Requirements

  • Proven experience leading data, analytics, and AI transformation initiatives, helping organisations identify high-value opportunities and move from experimentation to enterprise adoption.
  • Ability to translate complex business challenges into AI-enabled products, agentic workflows, or decision intelligence that improve decision-making and business performance.
  • Experience establishing the capabilities and delivery approaches required to scale AI responsibly across an organisation.
  • Strong understanding of modern AI capabilities, including Generative AI, Agentic AI, Retrieval Augmented Generation, intelligent assistants, and AI-enabled automation, and enterprise AI ecosystems such as OpenAI, Google, Anthropic, and Microsoft.
  • Experience shaping enterprise AI architectures and designing how AI agents interact with enterprise systems, data, business processes, and human decision-makers, while guiding technology and platform decisions.
  • Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance, and responsible AI practices.
  • Significant experience in consulting or senior client-facing roles, acting as a trusted advisor to executive and C-suite stakeholders.
  • Business development experience.
  • Ability to communicate complex data and AI concepts clearly and create alignment between business leaders, product teams, and technical specialists.
  • Strong strategic and commercial capability, including shaping propositions, developing opportunities, and leading successful client engagements.
  • Track record of building high-performing teams, coaching talent, especially in the Agentic era, and creating inclusive, collaborative environments.
  • Ability to lead through ambiguity, inspire innovation, and build new capabilities in rapidly evolving technology landscapes.
  • Contribution to practice growth through thought leadership, capability development, recruitment, and market engagement.
  • Fully flexible in terms of assignment location, including periods away from home at short notice.

Responsibilities

  • Advise executive and C-suite stakeholders on transformational AI use cases and help shape the strategies, investment decisions, and roadmaps needed to realise them.
  • Partner with business leaders to measure and realise value from AI investments, establishing adoption strategies and performance metrics that deliver sustainable business outcomes.
  • Guide organisations from AI experimentation to enterprise-scale deployment by establishing the capabilities, delivery approaches, and change strategies needed to scale AI successfully.
  • Translate business challenges into AI-enabled products, agentic workflows, and intelligent services, defining user needs, business outcomes, and success metrics.
  • Design human-centred AI operating models that integrate people, AI agents, and business processes.
  • Partner with business, product, and engineering leaders to embed AI into customer journeys, employee experiences, and operational decision-making, driving adoption at enterprise scale.
  • Design AI-ready data foundations, platforms, and semantic layers that provide trusted business context, reusable knowledge assets, and reliable access to enterprise information for AI and analytics.
  • Shape agentic architectures and engineering capabilities that enable AI agents to securely interact with enterprise systems, business processes, and people at scale.
  • Establish governance, security, responsible AI, and operational practices required to monitor, manage, and continuously improve AI solutions in production.
  • Lead proposals, RFPs, bids, proposition development, client pitches, and thought leadership that position the organisation at the forefront of modern Data and AI consulting.
  • Support practice development through offering development, recruitment, campaign development, internal think-tanks, whitepapers, operational excellence, and capability building across Data, AI, and Agentic AI.
  • Continuously develop expertise in emerging data and AI technologies and consulting leadership through training, certifications, and applied innovation, while fostering a culture of continuous learning across the practice.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

Recently Posted Jobs

Explore more opportunities at Capgemini

See more jobs