Vice President - Product Manager - Data Science

Posted 7 Days Ago
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Hyderabad, Telangana
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Vice President - Product Manager in Data Science leads the transformation of data management practices within the LRCO team at JPMorgan Chase. This role focuses on developing AI/ML model accuracy thresholds, managing data quality and analytics, implementing strategies for operational objectives, and fostering collaboration across teams while delivering presentations to stakeholders.
Summary Generated by Built In

Job Description
You will be working alongside a team of professional product managers, businesses, and functions to provide you with the opportunity to take your career to the next level.
As a Product Manager in the Legal Regulatory and Control Operations (LRCO) team, you will promote the transformation and modernization of our data management, governance practices, collaborating with Product, Data Owners, Operations, and Technology teams. You will ensure alignment with strategic priorities for these areas. A key responsibility is developing sustainability AI/ML model accuracy thresholds and providing ongoing performance reporting to leadership. Your leadership will guide the team in daily tasks and transformative projects, significantly impacting the organization.
At JPMorgan Chase, we are at the forefront of innovation in legal and regulatory control operations. We are seeking a Sr. Data Scientist Team Lead to drive transformative change and redefine our processes and systems. This role offers the opportunity to lead significant initiatives and expand our capabilities across diverse investment landscapes.
Job responsibilities:

  • Lead model data management, focusing on data quality, validation, enrichment, analytics, reporting, and exception monitoring.
  • Develop AI/ML model accuracy threshold recommendations and provide performance reporting to leadership.
  • Implement strategies aligning data management with operational objectives.
  • Innovate and modernize data processes with cutting-edge technologies.
  • Lead operational change initiatives for smooth transitions and new system implementations.
  • Foster a culture of continuous improvement using data insights.
  • Communicate strategies and foster collaboration with cross-functional teams and senior leadership.
  • Implement robust oversight and governance models for vendors and service providers.
  • Deliver presentations to convey strategies and results to stakeholders.
  • Oversee the planning and execution of the roadmap with cross-functional teams.


Required Qualifications, Capabilities, and Skills:

  • 7+ years in data science, data management, and operational leadership.
  • Proven track record in data-driven initiatives and transformational projects.
  • Strong problem-solving, decision-making, and strategic thinking abilities.
  • Exceptional leadership and communication skills.
  • Experience in operational controls and improving frameworks.
  • Advanced proficiency in Microsoft applications and developing presentations.
  • Proficiency in AI, automation tools, and emerging technologies.
  • Practical knowledge of JIRA for building roadmaps.
  • Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionization and feedback capture.


Preferred qualifications, capabilities, and skills:

  • Holds a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business, or a related field.
  • Has experience in the tech industry or with digital products.
  • Familiar with machine learning and AI applications in product development.
  • Proven experience in business analysis and driving operational change/system development, with the ability to identify critical requirements and potential gaps.
  • Possesses excellent analytical, quantitative, and problem-solving skills, along with demonstrated research ability.
  • Strong communication skills, capable of presenting findings to a non-technical audience.
  • Knowledgeable about the data ecosystem, including data ingestion, engineering, quality, orchestration, infrastructure, usage, privacy, and governance, as well as machine learning/data science theory, techniques, and tools


About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
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.
Operations teams develop and manage innovative, secure service solutions to meet clients' needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.

Top Skills

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Data Science

What the Team is Saying

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The Company
HQ: New York, NY
289,097 Employees
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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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