Senior Manager - Applied Machine Learning - Vice President

Next Frontier Capital; Columbus (OH); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Senior Manager, Applied Machine Learning - Vice President within the Consumer and Community Banking Data Science organization. You will partner with business leaders to identify and solve high-impact problems using machine learning, guiding end-to-end delivery from framing and experimentation to production deployment and monitoring.

You will lead a team of data scientists, influence prioritization and timelines, and communicate tradeoffs and results to senior

Qualifications

• Master's Degree with 8+ years or Doctorate (PhD) with 6+ years in data science or related quantitative field.
• 5+ years of direct people leadership experience.
• Hands-on experience developing statistical/ML/AI models.
• Deep understanding of AI/ML theory beyond empirical validation.
• Proficient in Python, R or Scala; familiar with Spark/Hadoop stack.

Responsibilities

• Define data science vision, strategy, and roadmap for the organization.
• Lead a team of contributors and potentially other leaders; mentor and grow staff.
• Attract and retain data science talent to maximize value.
• Oversee design and deployment of ML/AI statistical models; ensure robustness.
• Communicate insights clearly; translate business problems into technical solutions.
• Lead cross-functional collaboration to frame problems and drive uptake of solutions.

Skills

Python/R/Scala

Leadership

Data storytelling

Statistics/ML theory

Experimentation

Education

Master's degree +8y

PhD +6y

Tools

Spark

Hadoop

SQL/Hive

ML libraries

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.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

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