AI & Data Lead, Public Sector Financial Services

Role Overview

• Lead Guidehouse’s AI & Data portfolio for Public Sector Financial Services, setting vision, driving execution, and shaping go‑to‑market strategies.
• Serve as the primary executive advisor to federal financial regulators and oversight agencies on AI strategy, data modernization, responsible AI governance, intelligent automation, and advanced analytics.
• Oversee delivery of complex AI/data programs including cloud-native architectures, machine learning platforms, model development, MLOps, data engineering, and enterprise data governance.
• Lead and coach multidisciplinary teams of data scientists, engineers, strategists, and consultants; ensure delivery excellence, quality, and client satisfaction.
• Develop and maintain strong client relationships with CXOs, agency leadership, and senior stakeholders across regulatory and oversight entities.
• Drive business development, including pipeline creation, opportunity pursuit, proposal development, and thought leadership.
• Own growth targets and delivery financials, including portfolio profitability, delivery oversight, and staffing optimization.
• Shape and institutionalize Guidehouse methodologies, accelerators, and best practices for AI and data, and responsible use of emerging technologies.
• Partner with internal teams to recruit, mentor, and retain top AI and data talent.
• Represent Guidehouse at industry forums, agency working groups, and AI/governance communities of practice.

Requirements

• 10+ years of experience delivering AI and Data in cloud-based environments, or Advanced Analytics solutions within federal or regulated environments.
• Based on our contractual obligations, candidate must be located within the United States and US Citizen.
• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
• Demonstrated technical leadership delivering AI/ML, data engineering, data governance, or intelligent automation projects at enterprise scale.
• Proven consulting experience, including managing client relationships, leading delivery teams, and driving high-quality outcomes across large initiatives.
• Business development success, including leading go‑to‑market efforts, shaping solutions, writing proposals, and closing deals.
• Deep experience with federal financial regulators, such as Treasury, IRS, CFPB, FDIC, OCC, NCUA, SEC, FHFA, or related oversight bodies.
• Strong executive communication skills with demonstrated ability to explain complex AI/technical topics to business and mission audiences.
• Relevant AI, cloud, or data certifications, such as: AWS Machine Learning / Data Analytics / Solutions Architect, Azure AI Engineer / Data Engineer / Solutions Architect, Databricks Data Engineer / Machine Learning Professional, Snowflake SnowPro certifications.
• Experience leading implementations in cloud environments such as AWS, Azure, Google Cloud, or hybrid environments, including secure GovCloud deployments.

Tech Stack

• AWS
• Azure
• Cloud

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend