Senior Manager - Applied Machine Learning - Vice President

Join a team that partners across the enterprise to solve high-impact, data-intensive problems with decision science and machine learning.

You will lead work that turns ambiguous, unstructured questions into practical solutions that improve how decisions get made.

This role combines hands-on technical leadership with strong stakeholder partnership to deliver measurable outcomes.

If you thrive in complexity and enjoy building scalable products, you will find a strong platform to grow your impact here.

As a Senior Manager, Applied Machine Learning - Vice President at JPMorganChase within the Consumer and Community Banking (CCB) Data Science organization, you will partner with business leaders to identify and solve complex, high-impact problems using machine learning and advanced analytics.

You will lead the end-to-end delivery of solutions from problem framing and experimentation through production deployment and monitoring.

You will guide teams to develop scalable approaches that support faster, more informed decision-making across enterprise functions.

You will influence prioritization, timelines, and delivery by communicating tradeoffs, results, and next steps to senior stakeholders.

Job Responsibilities


* Define the data science vision, strategy, structure and roadmap for the organization.


* Manage a team of highly-capable and independent sole contributors with additional potential to manage other leaders, along with mentor, coach and grow people earlier in their careers in this role.


* Attract, develop and retain data science talent to ensure the team continues to enhance its value to the company.


* Oversee the design and development of Machine Learning, Artificial Intelligence and Statistical models.


* Ensure the robustness of any data science solution.


* Develop and communicate recommendations and data science solutions in an easy-to-understand way, leveraging data to tell a story.


* Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.

Required qualifications, capabilities and skills


* Master's Degree with 8+ years or Doctorate (PhD) with 6+ years of experience operating as a data science professional (e.g.

data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.


* 5+ years of direct people leadership experience.


* Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.


* Deep understanding of math and theory behind AI/ML algorithms, with the ability to reason about model assumptions, behavior, and limitations beyond empirical validation.


* Proficient in data science programming languages like Python, R or Scala.
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