Data Scientist developing AI - powered mobile applications at AppNation. Ensure data flow and infrastructure management in a fast - paced mobile tech environment.
About the role
- Director and AI & Data Lead for Public Sector Financial Services at Guidehouse. Leading AI strategy, development, and delivery of innovative solutions for federal financial missions.
Responsibilities
- 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.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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