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JP Morgan Chase

Runs a consumer bank and an investment bank

Data Domain Architect Lead

Data ManagementConfirmed live in the last 24 hours
Full-timeColumbus, OH, USANo salary listedIn-person

About the Job

Requirements

  • At least 10 years of total experience within MIS, business intelligence, and/or analytics roles.
  • Proficiency in SQL query writing and advanced Excel functions.
  • Exposure to one or more business intelligence toolsets and database platforms, including AWS, Databricks, or Snowflake and Tableau or ThoughtSpot.
  • Ability to manage multiple projects and prioritize complex work to drive results.
  • Ability to translate business requirements into data requirements understandable to the product team and explain technical issues to business users.
  • Ability to work in a fast-paced, dynamic environment with evolving priorities.
  • Strong analytical and problem-solving skills, including interpreting and analyzing data, identifying anomalies, determining root causes, and recommending solutions.
  • Strong written and verbal communication skills and ability to influence an audience.
  • Bachelor’s degree in Finance, Computer Science, Data/Analytics, Information Systems, or a related field.
  • Experience managing delivery backlogs and work plans in Jira and Jira Align or equivalent tooling.

Responsibilities

  • Lead discovery and requirements efforts to define finance data product scope, outcomes, and success measures.
  • Translate business requirements into prototype solutions for new or enhanced requests and implement them with appropriate quality and control standards and a sustainable operating model.
  • Facilitate stakeholder working sessions to surface needs, resolve ambiguity, and align on decisions.
  • Translate business needs into clear epics, features, user stories, and acceptance criteria.
  • Coordinate across multiple teams to drive alignment, resolve blockers, and keep delivery on track.
  • Maintain high-quality Jira and Jira Align hygiene, including roadmaps, backlogs, dependencies, statuses, and documentation.
  • Partner with technology and data teams to ensure requirements are feasible, testable, and well understood.
  • Drive end-to-end readiness for testing and release by clarifying scope, roles, and cutover expectations.
  • Communicate progress, risks, and decisions to stakeholders in clear, concise language.
  • Identify process improvements that reduce friction and help teams execute consistently.
  • Identify opportunities to apply artificial intelligence, machine learning, natural language querying, and automation to improve business decisions.

Desired Qualifications

  • Experience supporting finance reporting, performance management, or financial data use cases.
  • Knowledge of data product concepts such as data quality, lineage, metadata, or controls.
  • Comfort working with diverse stakeholder groups and facilitating trade-off discussions.
  • Familiarity with generative AI, large language models, machine learning, semantic layers, and natural language analytics.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1799

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