Director of Technology: GenAI Implementation and Support

The Director of Technology:
GenAI Implementation and Support is generally autonomous in their oversight and active management for a Technology program and/or practice area and most often reports directly to a Senior Director or Vice President.

For work that is performed in CO, FL, TX, IL, PA, MA, MD, VA, Washington, DC, NY and NJ, please refer to the chart below for the salary range for the corresponding location. FINRA complies with all state and local pay transparency laws and regulations requiring the disclosure of salary ranges for the position. In addition to location, actual compensation is based on various factors, including but not limited to, the candidate’s skill set, level of experience, education, and market considerations.

CO/FL/TX:
Minimum Salary $131,100, Maximum Salary $254,000

IL/PA:
Minimum Salary $144,000, Maximum Salary $279,500

MA/MD/VA/Washington, DC:
Minimum Salary $150,600, Maximum Salary $292,300

NY/NJ:
Minimum Salary $150,600, Maximum Salary $305,000

#LI-Hybrid

• Lead a team of data scientists, AI engineers, and ML engineers specialized in GenAI solution assessment, design, implementation, evaluation, and monitoring, providing thought leadership and direction on methodology and process, constructive feedback on associated work products, and coaching for individual development.
• Coach data scientists in the evolving role of GenAI evaluation and quality assurance, helping them understand and communicate the critical value of their evaluation expertise in ensuring predictable, high‑quality GenAI solutions.
• Partner with teams across Technology to provide expert technical guidance, exploratory data analysis support, and hands‑on implementation resource support for GenAI based development, working to deliver innovative solutions that drive regulatory excellence. More generally, educate teams on the differences between traditional software engineering practices and GenAI implementation.
• Partner with the regulatory AI assistant team to enhance, streamline, and accelerate integration of MCP‑based agents and tools developed by other Technology teams.
• Coach Technology teams to view AI governance as a risk management enabler rather than an innovation barrier. Work with teams to address governance requirements proactively during the lifecycle rather than post facto. Provide feedback on opportunities to improve effectiveness and efficiency of AI governance processes.
• Manage the GenAI model peer review process, coordinating detailed methodology reviews – including optimization techniques, evaluation frameworks, quality metrics, and monitoring strategies – for GenAI initiatives and ultimately ensuring a high degree of confidence in the performance and reliability of solutions deployed to production.
• Direct the development and implementation of frameworks for quantifying and communicating GenAI solution value to senior leadership, enhancing basic efficiency metrics with dimensions like quality, risk reduction, and strategic alignment.
• Partner with business executives to help articulate their vision for GenAI‑enabled organizations and translate these visions into prioritized technical roadmaps and implementation strategies.
• Support the evaluation and operationalization of AI/GenAI engineering capabilities, especially within the AWS and Google Cloud ecosystems, like AWS Agent Core and MCP‑based agent development.
• Provide thought leadership in development practices for GenAI‑based solutions and opportunities to develop shared GenAI capabilities that will benefit all of Technology. Partner with the GenAI architecture working group to define implementation patterns and best practices, ensuring decisions are informed by practical implementation experience.
• Assist in the curation of GenAI development tracks to upskill software engineers with critical AI engineering mindsets, skillsets, and tools sets.
• Maintain strong collaborative relationships with the Office of the Chief Data Officer and Technology Operations on AI‑ready data standards, document processing pipelines, and MCP‑based agent/tool management.

• Deliver results based on FINRA annual goals, department…