Director - Enterprise BI, Power BI & Generative AI

Capgemini is seeking a Director of Enterprise Business Intelligence to help lead and grow our BI and analytics capabilities, with particular focus on Microsoft Power BI, Microsoft Fabric, semantic data solutions, and Generative AI-enabled analytics .

This role combines deep BI technology expertise with client leadership and business development. The successful candidate will work with enterprise clients to modernize BI landscapes, design next-generation analytics solutions, and help develop new offerings leveraging Generative AI, conversational BI, semantic layers, and agentic capabilities .

We are looking for someone who is equally comfortable discussing BI architecture with technology leaders, presenting transformation strategies to executives, and supporting solutioning and growth opportunities with clients., Enterprise BI & Technology Leadership

• Lead the design and modernization of enterprise BI and analytics environments.
• Provide thought leadership and technical direction across Power BI, Microsoft Fabric, semantic modeling, data visualization, and modern analytics architecture .
• Define scalable BI architectures and roadmaps that support enterprise reporting, self-service analytics, governance, and AI-enabled insights.
• Help organizations modernize legacy BI environments and transition toward cloud-based, AI-enabled analytics platforms.
• Establish architecture standards, reusable frameworks, accelerators, and best practices for enterprise BI delivery.

Generative AI & Next-Generation BI

• Help design and implement GenAI-enabled BI and analytics solutions .
• Develop use cases involving conversational BI, natural-language querying, intelligent insights, and AI-assisted analytics .
• Explore agentic approaches that allow business users to interact more naturally with enterprise data.
• Design and advise on semantic-layer architectures that provide trusted business context for AI-powered analytics.
• Help clients move from traditional dashboards toward more intelligent, interactive, and decision-oriented analytics experiences.

Client Engagement & Solutioning

• Serve as a trusted advisor to senior client stakeholders on BI modernization and analytics transformation.
• Lead client workshops, discovery sessions, architecture discussions, and executive presentations.
• Translate business challenges into scalable BI and analytics solutions.
• Support development of proposals, solution architectures, RFP responses, demonstrations, and executive presentations.
• Partner with account and sales teams to shape opportunities and expand existing client relationships.

Practice & Business Growth

• Contribute to growth of Capgemini’s Enterprise BI and GenAI capabilities.
• Identify emerging market opportunities and help develop new offerings and solutions.
• Contribute to pipeline development, pursuits, and account growth.
• Build reusable assets, accelerators, reference architectures, and industry solutions.
• Help strengthen relationships with technology partners, particularly across the Microsoft data and analytics ecosystem.

Delivery & Governance

• Provide oversight and technical guidance for complex enterprise BI programs.
• Establish standards for data quality, governance, visualization, security, performance, and usability.
• Promote scalable and governed self-service analytics.
• Ensure architectures and solutions meet enterprise requirements for reliability, scalability, security, and maintainability.

Team Leadership

• Lead and mentor BI architects, consultants, engineers, and analytics professionals.
• Develop technical capabilities across Power BI, Fabric, GenAI, semantic architecture, and modern BI.
• Promote collaboration between technology, consulting, sales, and delivery teams.

Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization., * 15+ years of experience in Business Intelligence, Data & Analytics, or related technology disciplines.

• Demonstrated experience leading complex enterprise BI or analytics transformation initiatives.
• Strong expertise with Microsoft Power BI , including enterprise-scale architecture, governance, deployment, and adoption.
• Experience with Microsoft Fabric, Azure Synapse, or the broader Microsoft Azure Data & Analytics ecosystem .
• Strong understanding of:
• BI and analytics architecture
• Semantic modeling and semantic layers
• Enterprise data modeling
• Self-service analytics
• Data governance and metadata management
• Data visualization and performance optimization
• Experience modernizing legacy BI environments and platforms.
• Familiarity with cloud data technologies such as Azure, AWS, GCP, Snowflake, or Databricks .
• Experience applying Generative AI, LLMs, conversational analytics, natural-language querying, or AI-enabled insight generation to analytics use cases.
• Strong client-facing communication and executive presentation skills.
• Experience contributing to solutioning, business development, client growth, or consulting pursuits.
• Demonstrated ability to lead and mentor technical teams., * Experience working within a consulting, professional services, or IT services organization.
• Experience within Banking, Capital Markets, Insurance, or Financial Services .
• Experience building or leading a BI, Analytics, or Data capability, practice, or Center of Excellence.
• Experience with pre-sales, RFP responses, deal shaping, or enterprise solutioning.
• Experience developing BI offerings, accelerators, reference architectures, or reusable assets.
• Familiarity with AI governance and responsible AI principles.
• Experience with additional enterprise BI platforms such as Tableau, Qlik, Cognos, MicroStrategy, or BusinessObjects.

• Modernize enterprise BI environments.
• Expand adoption of Power BI and Microsoft Fabric.
• Develop differentiated GenAI and conversational BI solutions.
• Strengthen client relationships and identify new growth opportunities.
• Build scalable BI capabilities, solutions, and reusable assets.
• Grow and mentor high-performing BI and analytics teams.

The base compensation range for this role in the posted location is: $200,000 - $250,000/ yearly.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.