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JPMorganChase

HL Data and Analytics Solutions- Vice President

Reposted An Hour Ago
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Expert/Leader
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Expert/Leader
Lead product strategy and delivery for Home Lending data and analytics solutions. Define roadmaps, prioritize backlogs, collaborate across design, engineering, and data teams, oversee data mart and modeling design, manage AI/ML deliveries, and ensure compliance, resiliency, and stakeholder alignment.
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You are a strategic thinker passionate about driving solutions in Data and Analytics Solutions. You have found the right team.

As a Vice President in Home Lending Data and Analytics Solutions, you will execute the data and analytics solutions product strategy and deliver outcomes, considering product complexity and dependencies, risk and compliance requirements, and internal and external customer experience.Job Responsibilities
  • Execute the data and analytics solutions product strategy and deliver outcomes, considering product complexity/dependencies, risk and compliance requirements, and internal/external customer experience.
  • Plan and execute product delivery roadmaps aligned to the overall product vision using analysis of customer needs, competitive intelligence, data/analytics insights, firm capabilities, and financials.
  • Partner with business stakeholders to analyze business requirements and build/refine the technology delivery backlog.
  • Facilitate collaboration with cross-functional product and product-area leads; engage key partners (Design, Data Owners, Tech Architecture, Engineering, Data/Analytics, etc.) early and often, and provide access to customers to deliver value.
  • Partner on software product development and technology builds to create quality, scalable features/solutions, including writing user stories and acceptance criteria.
  • Manage product workflow in Jira; prioritize and sequence the backlog considering audit/controls, data landscape, data center migration, resiliency, release coordination, and overall backlog health.
  • Demonstrate understanding of the underlying technology that drives the product, including end-to-end ownership of tech assets and management of technology debt arising from decision-making over time.
  • Lead delivery of AI/ML and agentic solutions.
  • Manage stakeholder expectations, roadmap planning, priority setting, and management reporting.
  • Design and implement efficient data products/data marts/analytical solutions that consolidate key data categories across source systems, tailored to Home Lending Finance and Business Management needs.
Required Qualifications, Capabilities, and Skills
  • 10+ years of experience in product management, data product management, and analytics solutions.
  • Bachelor’s degree in Computer Science, Information Systems, Finance/MIS, or a related field.
  • Experience managing complex products leveraging data and models in a fast-paced, dynamic environment.
  • Ability to set and manage accountabilities and expectations across team members, peers, business partners, and senior management.
  • Strong track record leading teams and delivering challenging initiatives using expert program/product/function management skills.
  • Proven leadership and influencing skills; ability to collaborate across a highly matrixed organization.
  • Experience designing and implementing scalable data mart architectures (e.g., star schema, snowflake schema) and other data modeling techniques.
  • Exposure to statistical techniques (e.g., regression, hypothesis testing, time series analysis, clustering) to analyze business data and uncover insights.
  • Strong understanding of finance fundamentals (e.g., P&L); 
Preferred Qualifications
  • Demonstrated senior leadership mindset (initiative, inclusivity, and ownership). Home Lending business knowledge is a plus.
  • Product management experience (if you keep this bullet, consider making it more specific since it overlaps with required qualifications).
  • Experience with Python, Databricks, Snowflake (or other cloud data warehouses), data engineering, data modeling, and Erwin.
  • Experience with Agile tooling (Jira, Confluence). Nice to have: ThoughtSpot, Tableau, Alteryx, or Essbase.
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.

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.

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