Director, Data, Analytics, & AI

We are seeking an experienced and driven Director of Data, Analytics, and AI to support the growth and delivery of RGP’s advisory services in this space. This role focuses on leading client engagements, contributing to revenue growth, and delivering high-quality solutions.

Responsibilities

• Sell and lead delivery of Data, Analytics, and AI advisory engagements, including enterprise AI and Data strategy and transformation.
• Manage end-to-end project execution or key workstreams across complex programs, ensuring quality, timelines, and client satisfaction.
• Achieve individual sales and revenue targets through proactive business development and account growth.
• Contribute to execution of: AI Strategy, Reengineering and Workflows; AI Governance and Controls; AI Adoption, Change and Enablement; Data Strategy; Data Governance, Quality and Trust; and Data Integration and migration.
• Build trusted client relationships and partner with senior stakeholders to provide strategic guidance throughout engagements.
• Partner with engagement leaders and sales teams to support proposals, RFPs, and go-to-market activities.
• Contribute to the development of offerings (capabilities, tools/accelerators, methodologies, etc.) that differentiate RGP in the market.
• Provide thought leadership internally and externally, sharing insights on emerging trends and leading practices.
• Mentor and coach team members, contributing to the development of a high-performing talent community.
• Collaborate across practices to deliver integrated, cross-functional solutions to clients.

Requirements

• 10+ years of experience in consulting at a major consulting firm with client engagements in Data and AI Strategy and Transformation.
• Bachelor’s degree required; advanced degree or relevant certifications a plus.
• Experience delivering projects across the Data and AI ecosystem, including:
  • AI-led business transformation, AI Enablement and Governance, Data Strategy and Governance, and Master Data Management and Data Quality.
  • AI and Data Architecture and Design (including Data Mesh/Fabrics).
  • Cloud and data platforms Migration and Reengineering (e.g., GCP, Azure, AWS, Databricks, Snowflake).
  • AI/ML readiness (data prep, lineage, tagging, cleaning).
• Demonstrated success delivering advisory services and contributing to revenue growth.
• Proven ability to manage client engagements and deliver high-quality outcomes.
• Experience initiating and supporting sales pursuits and proposal development.
• Strong project management, analytical, and problem-solving capabilities.
• Ability to communicate effectively and develop client-ready deliverables.
• Experience working with cross-functional stakeholders in fast-paced environments.

Benefits

• Medical, Dental, and Vision insurance.
• Life Insurance and Disability Insurance.
• 401(k) Savings Plan.
• Employee Stock Purchase Plan.
• Professional Development Program.
• Paid Time Off, Paid Holidays, and Paid Sick Time (in geographies where legally required).

Pay

Base Pay Range: $170,000 - $213,000. Additional incentive compensation available.