Pay
$154K–$226K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Director - Enterprise BI, Power BI & Generative AI
New York, NY, US
Actively hiring, first seen by us 9 days ago- Pay
$200,000–250,000 · Base/ yearly. Not guaranteed — pay source
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.
Read the full posting- Work setting
Hybrid — work setting source
About the Role Location: New York, NY Work Model: Hybrid, with onsite presence approximately 3 days per week Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization.
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization
What you’ll work on
Full postingLocation: New York, NY Work Model: Hybrid, with onsite presence approximately 3 days per week
Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization.
Lead design and modernization of enterprise BI and analytics environments
Advise senior client stakeholders on BI modernization and transformation
Support proposals, RFP responses, and solution architectures for clients
Lead and mentor BI architects, consultants, and engineers
From the employer’s posting
Location: New York, NY Work Model: Hybrid, with onsite presence approximately 3 days per week
Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization.
Lead the design and modernization of enterprise BI and analytics environments.
Serve as a trusted advisor to senior client stakeholders on BI modernization and analytics transformation.
Support development of proposals, solution architectures, RFP responses, demonstrations, and executive presentations.
Lead and mentor BI architects, consultants, engineers, and analytics professionals.
What you’ll bring
All qualificationsCore experience
- 15+ years of experience in Business Intelligence, Data & Analytics, or related technology disciplines.
- Experience modernizing legacy BI environments and platforms.
- Demonstrated experience leading complex enterprise BI or analytics transformation initiatives.
- Familiarity with cloud data technologies such as Azure, AWS, GCP, Snowflake, or Databricks.
- Strong expertise with Microsoft Power BI, including enterprise-scale architecture, governance, deployment, and adoption.
- Experience applying Generative AI, LLMs, conversational analytics, natural-language querying, or AI-enabled insight generation to analytics use cases.
Preferred experience
- 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.
Qualification wording
15+ years of experience in Business Intelligence, Data & Analytics, or related technology disciplines.
Experience modernizing legacy BI environments and platforms.
Demonstrated experience leading complex enterprise BI or analytics transformation initiatives.
Familiarity with cloud data technologies such as Azure, AWS, GCP, Snowflake, or Databricks.
Strong expertise with Microsoft Power BI, including enterprise-scale architecture, governance, deployment, and adoption.
Experience applying Generative AI, LLMs, conversational analytics, natural-language querying, or AI-enabled insight generation to analytics use cases.
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.
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20269 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 15, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 9
Similar jobs usually come down between day 8 and day 57.
From 9,518 similar postings that came down. Coming down is not always a hire.
Capgemini Service SAS is hiring
284 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Azure
- Cognos
- Databricks
- GCP
- MicroStrategy
- Power BI
- Qlik
- Snowflake
- Tableau
Where the posting names them
- 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 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:
- Familiarity with AI governance and responsible AI principles. - Experience with additional enterprise BI platforms such as Tableau, Qlik, Cognos, MicroStrategy, or BusinessObjects. What Success Looks Like
Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization. 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.
- 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.
- 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.
- 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.
- Modernize enterprise BI environments. - Expand adoption of Power BI and Microsoft Fabric. - Develop differentiated GenAI and conversational BI solutions.
Your next step
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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About Capgemini Service SAS
- People
- About 11,267 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as CAP.PA.
- H-1B visas
- 771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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.
About the Role
Location: New York, NY
Work Model: Hybrid, with onsite presence approximately 3 days per week
Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization.
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.
Key Responsibilities
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.
Foster an environment focused on innovation, client outcomes, and continuous learning.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
What Success Looks Like
Success in this role means combining strong BI technology credibility with consulting and business leadership. The Director will help Capgemini:
- 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.
Disclaimers
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.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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.
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- Pay
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.
- Location & working pattern
New York, NY, US
About the Role Location: New York, NY Work Model: Hybrid, with onsite presence approximately 3 days per week Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization.
- Work authorization
Location: New York, NY Work Model: Hybrid, with onsite presence approximately 3 days per week Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization. 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.