Vice President – GenAI Technology

Responsibilities

• Lead GenAI projects with diverse scope and complex business and technical challenges
• Coordinate with senior business and technology partners to develop solutions to the most complex business analytical needs
• Oversee end-to-end process to push code from research to production
• Deliver results with clear and measurable impact to the business
• Consult with senior business and technology partners to identify priorities and establish analytic goals, as well as form alignment on next steps
• Execute on direction for data identification, collection and qualification activities
• Present reports and findings to senior technical and non-technical audiences
• Enjoy collaboration and revels in working as part of a team to solve deep applied problems
• Execute on multiple initiatives in parallel
• Play an active mentorship role to others in the team

• PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 7 plus years of industrial experience
• Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding
• Experience working and closely collaborating with an Engineering team, sharing best development practices under a common goal of shipping reliable software
• Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools
• Experience taking an application from research to production and realizing measurable value from it to the team or firm
• Ability to work on and drive progress for multiple projects or initiatives at the same time
• Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions or consulting sessions
• Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
• Excellent planning, project management, communication, leadership, and research skills
• Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
• Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges