Senior Manager - Applied Machine Learning - Vice President

Posted Yesterday
Be an Early Applicant
3 Locations
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Leads applied machine learning and data science strategy, roadmap, and delivery. Manages and develops data science talent while overseeing statistical, AI, and machine learning model development. Partners with senior business stakeholders to frame complex problems, deliver scalable solutions, communicate tradeoffs, and drive measurable outcomes. The role includes hands-on technical leadership, model robustness oversight, production deployment and monitoring, and cross-functional influence across enterprise functions.
Summary Generated by Built In

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. 

About Us

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

About the TeamOur 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.

Skills Required

  • Master's degree with 8+ years of data science experience, or a PhD with 6+ years of data science experience, in a quantitative field
  • 5+ years of direct people leadership experience
  • Hands-on experience developing statistical, machine learning, and/or artificial intelligence models
  • Deep understanding of the mathematics and theory behind AI and machine learning algorithms
  • Proficiency in Python, R, or Scala
  • Experience with big-data technologies such as Hadoop, Spark, or SparkML
  • Familiarity with SQL, Hive, or basic data table operations
  • Demonstrated relationship-building and positive influence skills
  • Advanced expertise in time series, optimization, and operations research techniques
  • Experience with NLP, NLG, neural networks, or other ML/AI skills
  • Experience with AWS, Azure, or GCP
  • Experience leading complex cross-functional technical projects with multiple stakeholders

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.

  • 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.
  • 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.
  • 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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

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.

Gallery

Gallery

Similar Jobs

Expedia Group Logo Expedia Group

Development Engineer

AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Hybrid
Austin, TX, USA
16000 Employees
185K-295K Annually

PwC Logo PwC

Guidewire Developer, Senior Associate

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
24 Locations
370000 Employees
77K-202K Annually

PwC Logo PwC

Architect

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
62 Locations
370000 Employees
99K-232K Annually

PwC Logo PwC

Strategy& Pharma and Life Sciences Strategy Consulting Senior Associate

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
9 Locations
370000 Employees
77K-202K Annually

Similar Companies Hiring

Granted Thumbnail
Artificial Intelligence • Healthtech • Insurance • Mobile • Financial Services
New York, New York
23 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account