About this role
Job title: Senior Director - Enterprise BI Practice
About the Role Capgemini is seeking a Senior Director to lead and scale our Enterprise BI Practice, with a focus on Power BI, Microsoft Fabric, and Generative AI-driven analytics. This is a strategic leadership role responsible for practice growth, go-to-market strategy, and delivery oversight, partnering with enterprise clients to drive large-scale data and analytics transformation. The ideal candidate brings a combination of BI/analytics depth, leadership experience, and strong client-facing solutioning capabilities.
What You'll Do
- Lead enterprise BI programs, including Power BI migrations and modernization, enterprise data warehousing and analytics initiatives, and AI Generative BI deployments. Advise clients on self-service analytics, semantic layer design, and augmented BI. Drive GenAI use cases like natural language querying, conversational BI, and auto-generated dashboards and insights.
- Build and scale the Enterprise BI, Power BI, and GenAI/BI practice; define BI and analytics strategy across industries; develop capabilities, accelerators, and reusable assets; drive adoption of modern BI platforms and AI-powered analytics.
- Growth, GTM: Own pipeline growth and revenue targets; lead pre-sales, RFP responses, and solutioning efforts; support large deal shaping and closures; conduct client workshops and executive-level discussions; drive account growth and client expansion.
- Governance & Delivery Excellence: Ensure best practices across data governance and quality, visualization standards, and performance optimization; drive standardization and industrialization of BI delivery.
- Team Leadership: Lead and mentor architects, consultants, and delivery teams; build a culture of innovation, collaboration, and high performance.
What We're Looking For
- 18+ years of experience in Data, Analytics, or Business Intelligence; proven experience leading or scaling a BI Analytics practice or COE.
- Strong expertise in: Power BI (enterprise-scale implementations); Microsoft Fabric Azure Synapse Azure data ecosystem.
- Experience with enterprise BI platforms (Tableau, MicroStrategy, Cognos, BusinessObjects).
- Solid foundation in: Data modeling (Kimball, Data Vault); BI architecture and semantic layer design; Data governance and metadata management.
- Experience with cloud data platforms (Azure, AWS, GCP; Snowflake, Databricks); exposure to Generative AI in analytics (Copilot, LLM-based insights, conversational BI).
- Demonstrated experience in: Pre-sales and solutioning; client engagement and executive communication; driving revenue and practice growth.
Nice to Have
- Experience in consulting or IT services environment.
- Strong understanding of AI governance and responsible AI frameworks.
- Demonstrated success building high-performing teams and practices; revenue growth and pipeline generation; CSAT NPS; adoption of GenAI-driven BI solutions.
Compensation & Benefits
- Base compensation range: USD 200,000 – 250,000 per year.
- In addition to base salary, may be eligible for variable incentives, bonuses, or commissions depending on position and applicable laws.
- Benefits include: paid time off (vacation 12–25 days depending on grade), company-paid holidays, personal days, sick leave; medical/dental/vision coverage; retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada); life and disability insurance; employee assistance programs; and other benefits as provided by local policy and eligibility.
- Capgemini emphasizes equal opportunity employment and compliance with applicable pay transparency laws.