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TruistHead of AI Enablement
Senior technology leader responsible for AI and GenAI solutions across Wholesale Technology for Truist. Collaborating with business executives and engineering teams to drive measurable value through AI applications.
About the role
- Lead and mentor a team of AI product managers, quantitative researchers, data scientists, and technologists focused on advancing our AI investment platform
- Act as a strategic advisor to senior investment leaders on AI’s evolving role in portfolio management and research workflows
- Oversee the full lifecycle of the firm’s proprietary AI investing tool, from research and model development to deployment, monitoring, and enhancement
- Partner closely with portfolio managers, analysts, and risk teams to identify high-value use cases for AI such as company scoring models or macroeconomic signal generation
- Ensure data quality, transparency, and explainability in all AI models used for investment decisions
- Serve as a strategic interface between investment leadership, technology executives, and the board providing clear reporting on AI strategy, progress, and business outcomes
- Lead budget planning, resource allocation, and vendor relationships related to AI infrastructure, alternative data sources, and analytics partnerships
Requirements
- Bachelor’s degree in Finance, Computer Science, Engineering, Economics, or a related field; MBA or advanced quantitative degree preferred
- 10+ years of experience in asset management, investment technology, or analytics, with demonstrated success leading cross-functional teams and communications
- Demonstrated understanding of investment concepts, including some exposure to quantitative methods
- Deep understanding of fundamental investing principles and how AI/ML can augment research, valuation, and portfolio construction processes
- Proven expertise in product management, data governance, and product lifecycle management within a regulated financial environment
- Familiarity with Python, cloud data platforms, and modern ML frameworks is advantageous
- Experience supporting sales and client relationships in an institutional investment setting is a plus
Benefits
- health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits
- employee/family assistance plans
- various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
- financial education and counseling resources
- generous paid time off program in the U.S. including up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year
- full range of statutory leaves of absence
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