Vice President, Data Science

Fidelity; Durham (NC); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Fully paid parental leave

On-site health and wellness centers

Job summary

Fidelity is seeking an experienced Vice President of Data Science to lead a team delivering AI-powered personalization and digital experiences for Workplace Investing. This role partners with product, engineering, design and business leaders to identify opportunities and deliver impactful AI solutions.

Qualifications include 12+ years in AI/ML, advanced degrees, and strong leadership. The role emphasizes responsible AI, governance, and scalable models across the organization, with onsite work in

Qualifications

• Master's or PhD in a quantitative field
• 12+ years in AI/ML or related fields

Responsibilities

• Lead a data science team focused on AI-powered personalization and digital experiences.
• Partner with product, engineering and business leaders to identify high-value AI opportunities.
• Oversee end-to-end AI lifecycle: experimentation, deployment, monitoring, governance, and optimization.
• Champion responsible AI practices and scalable AI solutions across Fidelity workplaces.

Skills

People management

Stakeholder management

Cross-functional collaboration

Written and verbal communication

AI development

GenAI

Python

SQL

MLOps

AWS SageMaker

Education

Master's or PhD in Computer Science / Data Science

Tools

AWS SageMaker

Job description

Business Analysis & Project Management

Vice President, Data Science

Fidelity is transitioning to a full-time onsite working model in phases by region and role. See job description for more information.

Onsite

Location

• Durham, NC

Team

• Business Analysis & Project Management

Experience Level

Vice President

Job Description:

The Purpose of Your Role

Fidelity Workplace Investing is seeking an experienced Data Science leader to lead a team focused on powering intelligent, personalized digital experiences for our customers. This role will partner closely with product, engineering, design, and business leaders to identify high-value opportunities and deliver AI-powered solutions that drive meaningful customer and business outcomes.

As team leader, you will be responsible for advancing our AI strategy in this area, developing and implementing best practices, delivering machine learning and generative AI capabilities, and enabling the responsible adoption of emerging AI technologies. You will lead a highly skilled team of data scientists through the full AI lifecycle—from experimentation and model development to deployment, monitoring, governance, and continuous optimization.

The ideal candidate combines deep technical expertise with strong business acumen and has experience delivering AI solutions at scale. This includes personalization, predictive modeling, recommendation systems, large language models (LLMs), agentic AI systems, and responsible AI practices. You will consult with business leaders to help ideate and shape the next generation of Fidelity’s personalized experiences.

The Skills You Bring

• People management: Proven ability to mentor and coach data scientists on project delivery and long-term skill development.

• Stakeholder and relationship management: Strong ability to translate business opportunities into AI-driven solutions that deliver measurable outcomes.
• Cross-functional Collaboration: Partner with executive leadership, product, and engineering teams to integrate AI models into customer-facing products

• Written and verbal communication skills: Ability to communicate complex AI concepts, risks, and opportunities to both technical and non-technical audiences.
• AI Development: Expertise across the AI/ML lifecycle, including experimentation, feature engineering, model development, deployment, measurement, monitoring, and governance.
• Modeling: Deep understanding of statistics, predictive modeling, recommendation systems, experimentation, causal inference, and optimization techniques.
• GenAI: Experience evaluating, deploying, and governing generative AI solutions, including large language models, retrieval-augmented generation (RAG), AI agents, and multimodal AI systems.
• Tools: Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (e.g. AWS Sagemaker).

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Education and Experience

• Master's or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline.

• 12 years of experience in artificial intelligence, machine learning, advanced analytics, data science, or related fields.
• Significant experience leading teams, programs, and organizational AI initiatives.

How Your Work Impacts the Organization

AI is transforming how customers engage with their financial future. Your team will shape and scale the intelligent experiences that power Workplace Investing's digital platforms, combining machine learning, generative AI, and personalization capabilities to deliver timely, relevant guidance at moments that matter most. Through these innovations, you will help millions of participants build confidence, improve financial well-being, and achieve better retirement outcomes.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Category:

Data Analytics and Insights

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.

Benefits that balance life and work

From our fully paid parent leave to our on-site health and wellness centers, our benefits support the belief that more balance you have, the better you can achieve your goals.

Company overview

Company overview

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experience.

Reasonable accommodations

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to [e-mail], or by calling 800-835-5099, prompt 2, option 3.

Equal opportunity employer

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop, and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Applicant screening

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

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