Hl Data and Analytics Solutions- Vice President

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Consumer & Community Banking

Vice President in Home Lending Data and Analytics Solutions responsible for executing the data and analytics solutions product strategy, delivering AI/ML and agentic solutions, and managing product roadmaps and backlogs. The role involves partnering with stakeholders, managing technology builds, and designing data products and analytical solutions.

What you'd actually do

  1. Execute the data and analytics solutions product strategy and deliver outcomes, considering product complexity/dependencies, risk and compliance requirements, and internal/external customer experience.
  2. 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.
  3. Partner with business stakeholders to analyze business requirements and build/refine the technology delivery backlog.
  4. Lead delivery of AI/ML and agentic solutions.
  5. 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.

Skills

Required

  • 10+ years of experience in product management, data product management, and analytics solutions
  • 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)

Nice to have

  • Python
  • Databricks
  • Snowflake (or other cloud data warehouses)
  • data engineering
  • data modeling
  • Erwin
  • Agile tooling (Jira, Confluence)
  • ThoughtSpot
  • Tableau
  • Alteryx
  • Essbase
  • Home Lending business knowledge

What the JD emphasized

  • risk and compliance requirements
  • AI/ML and agentic solutions
  • data products/data marts/analytical solutions

Other signals

  • AI/ML
  • agentic solutions
  • data products
  • analytics solutions
  • product strategy
  • product delivery roadmaps