Job description

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. This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, TN and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention. Machine Learning Science delivers predictive solutions that support core enterprise functions and enable data-driven decisions at scale

Requirements

Must-haves

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
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
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.
Machine Learning Science delivers predictive solutions that support core enterprise functions and enable data-driven decisions at scale

Nice-to-haves

Preferred qualifications, capabilities and skills

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Keywords to mirror

machine learningaimlpythonsqlawsazuregcp

Platform: oracle-cloud
Effort: medium

Benefits

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