Senior Financial Systems Analyst - AI & Automation (Remote)

UnitedHealth Group

Eden Prairie (MN)

Remote

USD 113,000 - 193,000

Full time

3 days ago

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Job summary

Optum Tech, a unit of UnitedHealth Group, seeks a Principle Business Systems Analyst to own priority financial accounting products end-to-end, from business requirements through production release. You will partner with finance leaders, enterprise architecture, and data teams to design AI-powered solutions and automate agent capabilities, driving responsible AI and enterprise adoption.

You’ll work remotely from anywhere in the U.S.

Qualifications

5+ years of technical systems analysis, technical product management, or business systems analysis experience shipping data, business systems, or AI/automation products in a large enterprise environment.
3+ years of experience specifying, designing, or deploying AI-powered solutions, automated agent workflows, or machine learning capabilities.
3+ years of experience authoring sprint-ready user stories, managing product backlogs, and executing agile delivery practices (sprint planning, backlog refinement, demos, and planning increment commitments).
3+ years of hands-on experience evaluating data models, analyzing data pipelines, and leading technical design discussions with software and AI engineering teams.
2+ years of experience supporting financial or accounting processes (e.g., financial reporting, close/consolidation, forecasting, journal entry allocations, or statutory filings).
2+ years of experience leveraging enterprise-approved AI tools and technologies to automate business processes and streamline delivery workflows.

Responsibilities

Own financial accounting products end-to-end, from requirements through final production release.
Design, develop, and deploy AI-powered solutions and agent capabilities to address complex finance challenges with responsible AI practices.
Run project pods against the program RACI, coordinating across AI solution leads, data architects, finance process and controls leads, and business stakeholders.
Translate finance process detail into buildable agent capability definitions detailing inputs, operating flows, validations, exception paths, human approval points, and testable acceptance criteria.
Use enterprise-approved AI tools to streamline technical workflows, automate routine processes, and drive continuous solution improvement.
Evaluate emerging AI technologies and trends to inform solution design, strategic innovation, and backlog prioritization.
Own data readiness for assigned products by defining named data products, schemas, and grains across lakehouse and warehouse platforms, managing state gaps, and escalating data access rights slip.
Manage and maintain release plans across planning increment cadences, presenting scope, timeline, and dependency impacts with actionable recommendations during rebaseline sessions.
Author, groom, and refine sprint-ready user stories with testable acceptance criteria to enable efficient execution by development and engineering teams.
Partner with finance end-users from initial design through user acceptance testing to ensure adoption is designed directly into the delivery lifecycle.