Senior Director, Finance AI SME,, Record-to-Report Transformation - Eden Prairie, MN preferred, Remote

UnitedHealth Group is a health care and well-being company that's dedicated to improving the health outcomes of millions around the world. We are comprised of two distinct and complementary businesses, UnitedHealthcare and Optum, working to build a better health system for all. Here, your contributions matter as they will help transform health care for years to come. Make an impact with a team that shares your passion for helping others. Join us to start Caring. Connecting. Growing together. The Senior Director, Finance AI SME, Record-to-Report Transformation will serve as a senior controllership and accounting subject matter expert embedded within Finance AI transformation pods. This leader will partner with Finance, Controllership, Data, Technology, Risk and Controls, Internal Audit, and business stakeholders to blueprint current-state and future-state record-to-report processes and help develop proof-of-concept AI systems that can be validated, governed, and scaled. This role is designed for a senior accounting and controllership leader with a strong public accounting foundation and deep experience across the financial close, journal entries, reconciliations, consolidations, intercompany, external reporting, statutory reporting, technical accounting, SOX/ICFR, and audit readiness. The person will bring the judgment required to determine where AI can safely automate or augment record-to-report work, where human review remains non-negotiable, and how future-state processes should be designed to improve speed, quality, traceability, and control. The Senior Director will operate in a cross-functional pod model, working side by side with data engineers, solution architects, forward deployed engineers, AI/ML resources, risk and controls partners, accounting leaders, and business finance teams. This is a hands-on transformation role. The individual will be expected to lead blueprinting sessions, define R2R process requirements, identify control dependencies, validate prototype outputs, challenge data and accounting logic, and help determine whether proof-of-concept systems are ready to be refined, scaled, or transitioned into the AI Factory for productization. The ideal candidate combines audit discipline, enterprise controllership experience, process redesign capability, and practical curiosity about AI. They must be able to translate accounting and reporting requirements into agent-ready workflows that are accurate, auditable, explainable, and acceptable to Finance leadership, Internal Audit, external auditors, and regulators. The purpose of this role is to provide senior-level R2R expertise to Finance AI pods that are redesigning core accounting and reporting processes and developing proof-of-concept AI systems. The Senior Director will help move Finance from manual, calendar-driven, spreadsheet-heavy close processes toward a more continuous, exception-based, data-enabled, and AI-supported controllership model. The Role Has Three Integrated Mandates Blueprint the current state. Understand and document how R2R activities operate today across journal entries, reconciliations, close management, intercompany, consolidation, reporting, technical accounting, statutory reporting, controls, data flows, and audit evidenceDesign the future state. Partner with Finance, Technology, Data, Risk, and business stakeholders to define how R2R should operate when people, AI agents, governed data, controls, and accounting judgment are designed together from the beginningDevelop and validate AI proof-of-concept systems. Translate accounting requirements into clear prototype designs, help build and test R2R agents, validate outputs against accounting standards and source data, and determine whether solutions are ready for additional testing, productization, or scale You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities R2R Finance SME Leadership in Pod DeliveryServe as a senior Finance SME within cross-functional Finance AI pods focused on record-to-report, controllership, close, consolidation, and reporting transformationPartner with pod leads, accounting leaders, business finance teams, data teams, technology teams, and risk partners to define the business problem, target outcomes, scope, requirements, and success criteria for R2R POCsBring practical controllership judgment to AI design decisions, ensuring prototypes reflect how accounting work is actually performed, reviewed, approved, reconciled, reported, and auditedTranslate accounting and reporting requirements into buildable, testable, agent-ready workflows for data engineers, solution architects, and AI/ML teamsHelp ensure pod work remains focused on high-value R2R issues, including close-cycle compression, control effectiveness, reconciliation automation, reporting quality, audit readiness, and risk reductionCurrent-State BlueprintingLead structured blueprinting sessions with Controllership, Accounting, SEC Reporting, Statutory Reporting, Technical Accounting, Finance Systems, Data, Technology, Risk, and Internal Audit stakeholdersDocument current-state R2R processes, including key process steps, systems, data inputs, subledger feeds, manual workarounds, spreadsheet dependencies, handoffs, approvals, review controls, close calendar dependencies, reporting outputs, and audit evidenceIdentify fragmentation across journals, reconciliations, intercompany, eliminations, consolidations, external reporting, statutory reporting, and management reportingAssess where manual activities are driven by data quality issues, inconsistent definitions, system limitations, control design, historical practices, or lack of end-to-end ownershipDistinguish between activities requiring accounting judgment, activities suitable for AI-assisted preparation, activities suitable for automation, and activities that should be simplified or eliminatedPartner with Risk and Controls to identify current SOX/ICFR dependencies and determine how future-state AI-enabled processes should preserve or strengthen control evidence, segregation of duties, review precision, and auditabilityFuture-State Design and Agent-Ready Workflow DevelopmentDesign future-state R2R workflows that incorporate AI agents, governed data products, semantic definitions, source-to-report lineage, automated validations, exception routing, and human-in-the-loop decision rightsHelp define how continuous close, automated journal entry support, account reconciliation automation, intercompany matching, consolidation support, flux analysis, reporting narrative generation, and statutory filing support should operate in the future stateConvert process redesign concepts into agent-ready workflows with clear triggers, inputs, outputs, decision points, approval gates, exception thresholds, source citations, audit trails, and escalation pathsPartner with Data and Technology teams to define required data products, subledger feeds, general ledger integration needs, knowledge layers, evaluation criteria, and control logsEnsure future-state R2R designs are practical for large-scale enterprise accounting environments and are compatible with financial reporting precision, SOX/ICFR expectations, external audit needs, and regulatory requirementsDefine the appropriate division of labor between agents and humans, ensuring agents prepare, reconcile, validate, draft, and monitor, while accountable finance leaders retain final judgment, approval, certification, and external reporting responsibilityAI POC Development and ValidationPartner with engineering, data, and architecture teams to develop and test POCs for journal entry preparation, journal entry validation, account reconciliations, close calendar monitoring, data fallout resolution, consolidation checks, flux analysis, reporting narratives, statutory reporting support, and technical accounting intakeDefine practical test cases, expected outputs, exception scenarios, comparison baselines, evaluation standards, and acceptance criteria for AI-enabled R2R capabilitiesValidate AI outputs against ledger data, subledger data, accounting policy, source documentation, close checklists, reconciliation standards, reporting requirements, and control expectationsIdentify hallucination risk, unsupported accounting conclusions, inconsistent logic, missing evidence, data lineage gaps, control deficiencies, model drift risks, and usability barriersRecommend whether POCs should proceed to additional testing, be refined, be redesigned, be paused, or be transitioned to the AI Factory for productizationPartner with Risk and Controls to ensure that POCs include appropriate audit logs, issue tracking, exception handling, reviewer sign-off, and evidence retentionRecord-to-Report TransformationBring deep knowledge of the R2R lifecycle, including transaction capture, journal entries, account reconciliations, accruals, estimates, intercompany, eliminations, consolidation, financial statement close, management reporting, GAAP/SEC reporting, statutory reporting, and technical accountingHelp redesign close processes to move from periodic, manual, task-based execution toward continuous, exception-based, data-enabled controllershipIdentify opportunities to reduce manual close activities, eliminate duplicative controls, standardize recurring accounting logic, improve reconciliation quality, and shorten close cycle timeSupport design of AI-enabled capabilities such as journal entry agents, reconciliation agents, close calendar agents, data feed validation agents, consolidation agents, flux/variance agents, report drafting agents, and statutory filing agentsHelp define how the R2R function can produce earlier, more reliable, and more explainable financial outputs for controllers, CFOs, business leaders, Internal Audit, external auditors, and regulatorsControls, and Audit ReadinessApply discipline to the design, testing, and governance of AI-enabled R2R processesBring a strong understanding of audit evidence, audit trails, management review controls, control precision, financial statement assertions, risk assessment, materiality, and external auditor expectationsPartner with SOX/ICFR, Risk and Controls, Internal Audit, and external audit stakeholders to ensure AI-enabled processes can support reliable financial reportingHelp determine when AI output can be used as a productivity aid versus when it may become part of control evidence or management review supportEnsure appropriate human approval gates are embedded for high-risk journal entries, accounting estimates, reserves, technical accounting conclusions, disclosures, material eliminations, consolidation matters, and filing certificationsSupport control design for AI-enabled workflows, including segregation of duties, maker-checker principles, evidence capture, reviewer comments, approval history, prompt/output logging, source citations, and exception reportingData, Systems, and GovernancePartner with Data and Technology teams to assess R2R data readiness, including general ledger, subledger, consolidation, reconciliation, reporting, statutory, and supporting operational data sourcesIdentify data quality, connectivity, lineage, completeness, timing, and semantic definition gaps that must be addressed before AI-enabled R2R processes can scaleHelp define the knowledge layers and approved-source retrieval structures required for accounting policies, close procedures, reporting checklists, precedent decisions, statutory rules, and control documentationPartner with enterprise governance teams to ensure R2R AI solutions meet responsible AI, model governance, information security, data retention, privacy, and financial reporting requirementsSupport development of reusable control templates, evaluation standards, evidence packages, and onboarding playbooks for R2R AI capabilitiesStakeholder Engagement and AdoptionBuild credibility with controllers, accounting leaders, business finance teams, audit partners, technology teams, and executive stakeholdersFacilitate working sessions that bring structure to complex R2R pain points and translate those issues into practical AI-enabled workflow requirementsCommunicate the role of AI in R2R clearly, emphasizing that agents can prepare, validate, reconcile, draft, and monitor, but humans remain accountable for accounting judgments, approvals, certifications, and external reporting positionsSupport change management by helping accounting teams understand how future-state workflows will improve speed, quality, consistency, and controlCapture adoption barriers, training needs, role impacts, and operating model changes as POCs are piloted and scaledHelp establish repeatable playbooks so validated R2R capabilities can be extended across business units, market groups, legal entities, and reporting bases You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications Bachelor's degree in Accounting, Finance, Business, Economics, Information Systems, or a related field10+ years of progressive accounting, controllership, audit, financial reporting, finance transformation, or R2R experienceBig 4 public accounting experience required, preferably with audit experience serving large, complex, publicly traded or regulated companiesSignificant experience with financial close, journal entries, account reconciliations, consolidation, intercompany, external reporting, SOX/ICFR, audit evidence, and management review controlsDemonstrated ability to lead or materially contribute to process redesign, operating model transformation, automation, financial systems, or accounting modernization initiativesSolid understanding of accounting controls, financial statement assertions, auditability, evidence requirements, and external auditor expectationsProven ability to map complex current-state processes and translate them into simplified, controlled, future-state operating modelsProven solid analytical and problem-solving skills, with the ability to evaluate process gaps, data issues, accounting logic, control implications, and operational risksProven solid executive communication skills, including the ability to synthesize complex accounting and technology topics into clear recommendationsProven ability to operate in ambiguity, influence across a matrixed organization, and move work forward with urgency and discipline Preferred Qualifications CPAExperience in controllership, corporate accounting, SEC reporting, technical accounting, statutory reporting, consolidation, or accounting policyExperience with large enterprise ERP, consolidation, reconciliation, planning, reporting, workflow, or close management systemsExperience with PeopleSoft, Oracle, SAP, BlackLine, OneStream, Workiva, Snowflake, Azure, Power BI, or similar enterprise finance/data platformsExperience leading finance transformation, close acceleration, global process ownership, shared services, automation, or digital accounting programsExperience working in a regulated environment with SOX, SEC reporting, NAIC statutory reporting, external audit, model governance, regulatory exams, or Internal Audit involvementExperience working in a product-oriented or agile delivery model, including POCs, pilots, MVPs, product roadmaps, acceptance criteria, testing protocols, and adoption measurementFamiliarity with AI, machine learning, agentic AI, LLM-enabled workflows, retrieval-augmented generation, prompt evaluation, human-in-the-loop controls, and AI output validationAll employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $159,300 - $273,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.