Join us to shape the future of artificial intelligence within a global organization. You will have the opportunity to lead impactful initiatives, mentor talented data scientists, and collaborate with diverse teams to deliver AI-powered solutions. We invest in cutting-edge tools and infrastructure, empowering you to accelerate innovation and drive measurable business results. Your expertise will help us build an AI-native operating environment and set new standards for responsible, scalable AI delivery.
As an AI & Data Science Vice President in the HR Data & Analytics team, you will lead the development and deployment of AI and machine learning solutions that transform workforce data into actionable insights. You will manage a portfolio of initiatives, mentor data scientists, and partner with stakeholders across business and technology functions to drive adoption of AI-powered capabilities. Your role will help shape the technical direction of our agenda and deliver measurable business impact within a regulated environment.
Job Responsibilities:
- Lead the design, development, and deployment of AI and machine learning solutions across workforce-focused products and initiatives
- Manage a portfolio of research and development efforts, ensuring alignment to business priorities and measurable outcomes
- Guide teams through the full research lifecycle, from problem framing and experimentation to production deployment
- Develop and enhance model factories, evaluation frameworks, and agentic AI capabilities to improve delivery efficiency and model performance
- Mentor and develop data scientists while fostering a culture of innovation, collaboration, and continuous learning
- Partner with business, product, and technology leaders to identify opportunities for AI-driven improvements
- Influence technical decisions and architecture for scalable, enterprise-grade AI and analytics platforms
- Promote reuse of methodologies, tools, and models across teams and adopt external solutions where appropriate
- Communicate complex technical concepts and business impacts to senior stakeholders
- Ensure compliance with all applicable risk, governance, and control standards
Required Qualifications, Capabilities, and Skills:
- Demonstrated experience leading projects, workstreams, or teams in a data science or AI environment
- Master’s degree or equivalent experience in a quantitative discipline
- Expertise applying modern AI and machine learning techniques to solve business problems at scale
- Experience with generative AI, large language models, agentic workflows, or advanced automation technologies
- Strong understanding of statistical analysis, experimentation, and model evaluation practices
- Experience delivering solutions in cross-functional, collaborative environments
- Strong communication, stakeholder management, and influencing skills
- Proven ability to drive execution across multiple priorities and deliver measurable business outcomes
Preferred Qualifications, Capabilities, and Skills:
- Experience managing or mentoring data scientists
- Experience building automated model-development or model-evaluation pipelines
- Experience delivering AI and machine learning solutions within a regulated environment
- Experience working with enterprise AI platforms and cloud-based analytics technologies
- Track record of driving adoption of analytics and AI solutions through strong stakeholder partnerships
Skills Required
- Demonstrated experience leading projects, workstreams, or teams in a data science or AI environment
- Master's degree or equivalent experience in a quantitative discipline
- Expertise applying modern AI and machine learning techniques to solve business problems at scale
- Experience with generative AI, large language models, agentic workflows, or advanced automation technologies
- Strong understanding of statistical analysis, experimentation, and model evaluation practices
- Experience delivering solutions in cross-functional, collaborative environments
- Strong communication, stakeholder management, and influencing skills
- Proven ability to drive execution across multiple priorities and deliver measurable business outcomes
- Experience managing or mentoring data scientists
- Experience building automated model-development or model-evaluation pipelines
- Experience delivering AI and machine learning solutions within a regulated environment
- Experience working with enterprise AI platforms and cloud-based analytics technologies
- Track record of driving adoption of analytics and AI solutions through strong stakeholder partnerships
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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