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Capgemini

Global consulting, technology services, outsourcing

Director Enterprise BI - Power BI & Generative AI

Business IntelligenceConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 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, and 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.
  • Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization.

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 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.
  • Help design and implement Generative AI-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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Modernize enterprise BI environments, expand adoption of Power BI and Microsoft Fabric, develop differentiated GenAI and conversational BI solutions, strengthen client relationships and identify growth opportunities, build scalable BI capabilities and reusable assets, and grow and mentor BI and analytics teams.

Desired 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.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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