Lead Guidehouse’s AI & Data portfolio for Commercial Financial Services, setting vision, driving execution, and shaping go‑to‑market strategies.
Serve as the primary executive advisor to financial institutions, including banks, insurers, asset managers, and fintechs 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 and 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 commercial financial services environments.
Based on our contractual obligations, candidate must be located within the United States and US Citizen.
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.
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 cloud 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