Description

Job Description:

Job Description:

We are seeking a visionary Director of Data Science to join the Artificial Intelligence and Machine Learning (AIML) team within Fidelity Fund and Investment Operations (FFIO). In this leadership role, you will drive the development and deployment of innovative machine learning solutions that address complex business and technical challenges across FFIO.

Key Responsibilities:

• Over 5 years of hands-on experience in developing machine learning and large language models (LLMs) using Python and R.
• Successfully designed, deployed, and optimized multiple AI/ML solutions in production, ensuring scalability and performance.
• Continuously stay abreast of emerging AI/ML technologies, including AI agents, and apply cutting-edge tools to build effective, innovative solutions.
• Collaborate closely with DevOps teams to establish and maintain robust AI infrastructure and deployment pipelines.
• Proven ability to architect intelligent, adaptive AI systems that support diverse use cases, driving down development costs while maximizing business impact.
• Strong proficiency in SQL, with extensive experience in data preprocessing, wrangling, and transforming unstructured data into enriched, structured formats to support data-driven decision-making.
• Partner with business leaders to define project objectives, analyze current workflows, and design future-state processes powered by AI.
• Work with senior stakeholders across business and technology to prioritize initiatives, maintain a healthy project pipeline, and ensure successful delivery.
• Demonstrated aptitude for understanding complex business processes and data ecosystems, enabling more informed and strategic solution design.
• Skilled in presenting project updates, insights, and solution demos to both technical and non-technical senior leadership audiences with clarity and confidence.

The Expertise and Skills You Bring

• Bachelor of Computer Science, Statistics, Physics, or Finance
• 8+ years of industry experience in data science or machine learning roles.
• Demonstrated success in leading data science or ML teams within complex, enterprise-scale environments.
• Deep knowledge of AI/ML methodologies, including model development, data engineering, and deployment pipelines.
• Strong proficiency in Python, SQL, and advanced data analysis techniques.
• Hands-on experience with Generative AI, Deep Learning, and Large Language Models (LLMs), including techniques such as prompt engineering, chain-of-thought prompting, RLHF, and few-shot/one-shot learning.
• Expertise with cloud and data platforms such as AWS, Snowflake, and Oracle RDS.
• Experience working in Scaled Agile environments, with the ability to plan, prioritize, and deliver high-impact solutions.
• Exceptional communication skills with the ability to engage and influence both technical and non-technical stakeholders. Proven ability to collaborate across cross-functional teams.
• Comfortable navigating complex and ambiguous problem spaces with a solution-oriented mindset.
• Passionate about staying at the forefront of AI/ML advancements and driving innovation through continuous learning and experimentation.

The Team

Fidelity Fund & Investment Operations (FFIO) technology team crafts and maintains technology solutions and products that enable FFIO to provide accounting and investment management support services to Fidelity fund management and shareholders. Advanced Analytics team is responsible for providing thought-leadership by generating effective insights to improve business excellence using data science techniques.

Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

Certifications:

Category:

Data Analytics and Insights
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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