Senior Director - Head of Enterprise BI (Power BI & Generative AI)

Senior Director - Head of Enterprise BI (Power BI & Generative AI) Location: New York, NY (Tri-State preferred; hybrid) | Level: Senior Director About the Role Capgemini is seeking a Senior Director to lead and scale our Enterprise Business Intelligence (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, practice leadership experience, and strong client-facing / solutioning capabilities . Key Responsibilities Practice Leadership & Strategy Build and scale the Enterprise BI, Power BI, and GenAI/BI practice Define and execute BI and analytics strategy across industries Develop capabilities, accelerators, and reusable assets Drive adoption of modern BI platforms and AI-powered analytics Client Engagement & Delivery Lead enterprise BI programs , including: Power BI migrations and modernization Enterprise data warehousing and analytics initiatives AI / Generative BI deployments Advise clients on self-service analytics, semantic layer design, and augmented BI Drive innovation in GenAI use cases , including: Natural language querying (NLQ) Conversational BI Auto-generated dashboards and insights Growth, Sales & GTM Own and contribute to pipeline growth and revenue targets Lead pre-sales, RFP responses, and solutioning efforts Support large deal shaping and closures Drive account growth and client expansion Conduct client workshops and executive-level discussions Governance & Delivery Excellence Ensure best practices across: Data governance and quality Visualization standards 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 Required Qualifications 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 Preferred Qualifications 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 Practice expansion and capability maturity Client satisfaction (CSAT / NPS) Adoption of GenAI-driven BI solutions No sponsorship available for this role 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. Benefits 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. Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. #J-18808-Ljbffr Capgemini