Director – GenAI Technology

skillventory - A Leading Talent Research Firm

Applied GenAI engineer/data scientist leading diverse machine learning projects within the GenAI Technology team at Fidelity Investments. Collaborating with cross-functional teams to deliver impactful solutions.

Posted 6/23/2026full-timeBoston • Massachusetts, New Hampshire, New Jersey, North Carolina, Rhode Island • 🇺🇸 United StatesLead💰 $126,000 - $255,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

leads machine learning 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
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

Requirements

What you’ll need

PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience
Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding
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 at the same time
Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
Excellent planning, project management, 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

Benefits

Comp & perks

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningPythondata scienceinformation retrievalclusteringdata engineeringinference toolsdata visualizationAI/ML use casesstatistical analysis

Soft Skills

leadershipproject managementcollaborationcommunicationplanninginitiativeproblem-solvingownershipachievement orientationadaptability

Certifications

PhD in Data ScienceMaster's in Data ScienceMaster's in Computer ScienceMaster's in StatisticsMaster's in PhysicsMaster's in Finance