Director - Enterprise BI, Power BI & Generative AI

Capgemini • New York, NY

1d • $200,000 - $250,000 • Hybrid

About The Position

Capgemini is seeking a Director of Enterprise Business Intelligence to lead and grow its BI and analytics capabilities, with a focus on Microsoft Power BI, Microsoft Fabric, semantic data solutions, and Generative AI-enabled analytics. The role combines BI technology expertise with client leadership and business development. The Director will work with enterprise clients to modernize BI environments, design next-generation analytics solutions, and develop offerings involving Generative AI, conversational BI, semantic layers, and agentic capabilities.

The position provides technical direction on enterprise BI architecture and modernization while advising senior client stakeholders, presenting transformation strategies, and supporting solutioning and growth opportunities. The Director will also oversee complex programs, establish delivery and governance standards, develop reusable assets and offerings, and lead and mentor BI and analytics professionals. The role is hybrid in New York, NY, with onsite presence approximately three days per week. Applicants must be authorized to work in the United States without current or future employer-sponsored work authorization.

The posted base compensation range is $200,000–$250,000 per year. The role may also be eligible for variable incentives, bonuses, or commissions. Capgemini offers regular full-time employees a benefits package that may include paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

• 15 or more 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.
• Authorization to work in the United States without the need for current or future employer-sponsored work authorization.

Nice To Haves

• Experience in a consulting, professional services, or IT services organization.
• Experience in 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.

Responsibilities

• 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 supporting enterprise reporting, self-service analytics, governance, and AI-enabled insights.
• Help clients modernize legacy BI environments and transition to cloud-based, AI-enabled analytics platforms.
• Establish architecture standards, reusable frameworks, accelerators, and best practices for enterprise BI delivery.
• Help design and implement Generative AI-enabled BI and analytics solutions, including conversational BI, natural-language querying, intelligent insights, and AI-assisted analytics.
• Explore agentic approaches for enabling business users to interact naturally with enterprise data.
• Design and advise on semantic-layer architectures that provide trusted business context for AI-powered analytics.
• Advise clients on moving from traditional dashboards toward intelligent, interactive, decision-oriented analytics experiences.
• 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 proposals, solution architectures, RFP responses, demonstrations, and executive presentations.
• Partner with account and sales teams to shape opportunities and expand client relationships.
• Contribute to growth of Capgemini's Enterprise BI and GenAI capabilities; identify market opportunities and help develop offerings and solutions.
• Contribute to pipeline development, pursuits, and account growth.
• Build reusable assets, accelerators, reference architectures, and industry solutions.
• Strengthen relationships with technology partners, particularly in the Microsoft data and analytics ecosystem.
• 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 and ensure solutions meet enterprise requirements for reliability, scalability, security, and maintainability.
• 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 across technology, consulting, sales, and delivery teams, fostering innovation, client outcomes, and continuous learning.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, subject to policy.
• Medical, dental, and vision coverage, subject to local policy and eligibility.
• Retirement savings plans, such as a 401(k) in the U.S., subject to local policy and eligibility.
• Life and disability insurance, subject to local policy and eligibility.
• Employee assistance programs, subject to local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed