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.
• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
• Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence

Preferred qualifications, capabilities and skills

• Advanced expertise with Time Series, Optimization, and Operations Research techniques applicable to business planning, resource allocation, and organizational decision-making problems.
• Natural Language Processing (NLP) / Natural Language Generation (NLG), Neural Nets, or other ML/AI skills.
• Prior experience with public cloud technologies such as Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).
• Previous experience leading highly complex cross-functional technical projects with multiple stakeholders across diverse lines of business and enterprise functions.

This role is 5 days a week full time in the office.