Vice President, Data Science

Fidelity Investments • Durham, NC

4d • Onsite

About The Position

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.

Requirements

• 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.
• Proven ability to mentor and coach data scientists on project delivery and long-term skill development.
• Strong ability to translate business opportunities into AI-driven solutions that deliver measurable outcomes.
• Partner with executive leadership, product, and engineering teams to integrate AI models into customer-facing products
• Ability to communicate complex AI concepts, risks, and opportunities to both technical and non-technical audiences.
• Expertise across the AI/ML lifecycle, including experimentation, feature engineering, model development, deployment, measurement, monitoring, and governance.
• Deep understanding of statistics, predictive modeling, recommendation systems, experimentation, causal inference, and optimization techniques.
• Experience evaluating, deploying, and governing generative AI solutions, including large language models, retrieval-augmented generation (RAG), AI agents, and multimodal AI systems.
• Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (e.g. AWS Sagemaker).

Nice To Haves

• Experience delivering AI solutions at scale, including personalization, predictive modeling, recommendation systems, large language models (LLMs), agentic AI systems, and responsible AI practices.

Responsibilities

• Advancing our AI strategy in this area
• Developing and implementing best practices
• Delivering machine learning and generative AI capabilities
• Enabling the responsible adoption of emerging AI technologies
• Leading a highly skilled team of data scientists through the full AI lifecycle—from experimentation and model development to deployment, monitoring, governance, and continuous optimization
• Consulting with business leaders to help ideate and shape the next generation of Fidelity’s personalized experiences
• Integrating AI models into customer-facing products

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive