Data Science Manager, Focused Analytics Solutions Team (FAST)

Posted 18 Days Ago
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Columbus, OH
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Data Science Manager in the Focused Analytics Solutions Team, you will lead teams of data scientists to develop end-to-end analytical solutions. Responsibilities include guiding project teams, coaching early career talent, and maintaining high standards of excellence. You will also act as a trusted advisor, manage client relationships, and uphold quality control standards.
Summary Generated by Built In

Job Description
Come join us in reshaping the future!
Within the CCB Data & Analytics organization, the Focused Analytics Solutions Team (FAST) develops and executes actionable data science and analytical solutions in a consulting-style environment, while placing a premium on creative, practical problem solving and superior client interaction. An equally important part of the FAST mission is to train and develop the next generation of data and analytics talent through hands-on apprenticeship and structured classroom-style training. The team delivers across a wide range of high-visibility, strategic initiatives, partnering with LOB-aligned (e.g., Consumer Bank, Card, Wealth Management) and cross-functional (e.g., Digital, Operations, Marketing) analytics teams.
As a Data Science Manager on the Focused Analytics Solutions Team, you will lead the design, build, and delivery of actionable and end-to-end analytical solutions spanning the analytical spectrum. This role is a mix of consulting know-how (problem solving, thought leadership, communication), analytical proficiency in statistics, data science and machine learning, and, when required, hands-on proficiency in SQL/Python programming, visualization methods and technologies, and data engineering / infrastructure.
Job responsibilities

  • Lead teams of data scientists to develop, plan, and deliver end-to-end analytical projects as team lead and, when necessary, as a hands-on data scientist
  • Serve as a trusted advisor and thought leader by providing expertise throughout project lifecycles, from scoping and planning to generating insights and deploying the solution
  • Guide project teams in synthesizing analytical findings for consumption by internal analytical clients and senior executives
  • Establish and manage relationships with internal clients and partners
  • Recruit, develop and retain talent by creating an environment of open communication that prioritizes continued learning and growth
  • Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior
  • Maintain a rigorous controls environment to ensure accurate and timely results


Required qualifications, capabilities, and skills

  • 5+ years of industry experience in data science or business analytics roles (e.g., marketing analytics, sales analytics, business insights)
  • Experience leading project teams and coaching/mentoring early career talent
  • Foundational and applied knowledge of statistical, data science, and machine learning methodologies, including:
    • Descriptive, inferential, and causal statistics
    • Predictive modeling
    • Optimization modeling
    • Generative AI & Large Language Models
    • A/B testing methods
  • Excellent communication, with an ability to convey complex information in an understandable, compelling, and persuasive manner to non-technical clients, executives, and junior data scientists
  • Familiarity with a variety of analytical project types, ranging from business intelligence, to data engineering and infrastructure, to higher order modeling, including model deployment and maintenance
  • Proficiency in SQL and Python, plus big data technologies such as Hive, Hadoop, and Spark
  • Bachelor's degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science)


Preferred qualifications, capabilities, and skills

  • Advanced degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science)
  • Direct people management experience
  • Financial services experience


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 Team
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.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Top Skills

Python
SQL

What the Team is Saying

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The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
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.

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