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Vice President Data Science Ai Jobs (NOW HIRING)

Hewlett Packard Enterprise Development LP

VP, Decision Sciences This role has been designed as 'Hybrid' with a requirement that you will work ... Data Science, AI, management consulting, or related disciplines. Proven experience leading global ...

Socket.dev

WI · On-site

VP, Decision Sciences This role has been designed as 'Hybrid' with a requirement that you will work ... Data Science, AI, management consulting, or related disciplines. * Proven experience leading global ...

S&P Global

Vice President, Data Science

Manhattan, NY · On-site

$177K - $350K/yr

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

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As of Sep 10, 2026, the average yearly pay for vice president data science ai in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Vice President Data Science Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Vice President, Data Science

Durham, NC • On-site

Fidelity Investments
Investment Management and Consulting Services • 10K+ employees
Learn more about Fidelity Investmentsexternal

Full-time

Posted 7 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

16th of 154 rated financial services

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).
  • undefined
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.
Certifications:
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.

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