Vice President, GenAI Technology - Fidelity Investments

Job Description: VP, DATA SCIENCE - GenAI Technology Note: Fidelity will not provide immigration sponsorship for this position The Role This is an individual contributor data science (with a focus on GenAI) role. The Applied GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in GenAI-related projects, machine learning, and data science. In this role, the individual leads GenAI projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals, as well as form alignment on next steps. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems. Able to execute on multiple initiatives in parallel. Plays an active mentorship role to others in the team. You will have:

• 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; emphasis on putting (or working with) LLM-based applications in production
• 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