Data Domain Architect Lead

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'll work closely with stakeholders across finance, technology, and product partners to translate complex needs into clear, actionable plans-while maintaining strong delivery hygiene in Jira and Jira Align.

You'll thrive in a fast-moving environment, create clarity where priorities compete, and help teams align on what "done" looks like.

Job Responsibilities


* Lead discovery and requirements efforts to define finance data product scope, outcomes, and success measures.


* Translate business requirements into prototype solutions for new/enhancement requests and implement with appropriate quality and control standards and 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 (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 a wide range of 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

Required Qualifications, Capabilities, and Skills


* 10+ years of total experience within MIS, Business Intelligence, and/or Analytics roles.


* Strong proficiency in data analysis tools and software - Must be proficient in SQL query writing and Excel advanced functions.


* Exposure to one or more 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 can be clearly understood by the product team and the ability to explain technical issues in a way business users understand.


* Highly motivated, self-directed.


* Ability to work in a fast-paced, dynamic environment with constantly evolving priorities.


* Strong analytical and problem-solving skills with proven ability to interpret and analyze data, identify anomalies, determine root cause, and recommend solutions.


* Strong written and verbal communication skills ...