Data Domain Architect Lead

JPMorganChase•Columbus, OH

About The Position

As a Data Domain Architect Lead on the Finance Data and Insights Team, you will lead the definition and delivery of finance-focused data product requirements, guiding cross-functional teams from early discovery through release. You will work with stakeholders across finance, technology, and product to translate complex needs into clear, actionable plans while maintaining strong delivery hygiene in Jira and Jira Align. The role requires creating clarity when priorities compete and helping teams align on what “done” looks like. You will define finance data product scope, outcomes, and success measures; translate business requirements into prototype solutions and delivery artifacts; and coordinate work across teams to support testing and release readiness. You will also identify process improvements and opportunities to apply artificial intelligence, machine learning, natural language querying, and automation to improve business decisions.

Requirements

10+ years of total experience within MIS, Business Intelligence, and/or Analytics roles.
Proficiency in data analysis tools and software, including SQL query writing and advanced Excel functions.
Exposure to one or more of these Business Intelligence toolsets and database platforms: 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 that product teams can understand, and to explain technical issues to business users.
Highly motivated and self-directed.
Ability to work in a fast-paced, dynamic environment with constantly 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.

Nice To Haves

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.

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, implementing 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 epics, features, user stories, and acceptance criteria.
Coordinate across multiple teams to drive alignment, resolve blockers, and keep delivery on track.
Maintain Jira and Jira Align 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 testing and release readiness by clarifying scope, roles, and cutover expectations.
Communicate progress, risks, and decisions clearly to a wide range of stakeholders.
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.