Manager - AI Transformation Engineer - Finance

Blue Cross Blue Shield of Michigan•Detroit, MI

About The Position

The AI Transformation Engineer for Finance partners with Enterprise Accounting, Finance Technology, Analytics, and business stakeholders to design, pilot, and scale AI-enabled solutions that modernize controllership workflows. The role identifies opportunities to combine artificial intelligence, automation, analytics, and workflow redesign to reduce manual effort, accelerate cycle times, strengthen controls, and improve the finance user experience. The position translates business needs across accounting, reporting, tax, audit, and internal controls into requirements, solution designs, use cases, testing criteria, and adoption plans. It applies responsible AI practices so solutions are practical, well-controlled, auditable, and aligned with enterprise policies, data standards, risk expectations, and human-review requirements. The role manages AI solution lifecycles from development through deployment, supports prototypes and pilots using approved enterprise tools, assesses outputs, and collaborates with technical teams on implementation and stabilization. It also defines business-value measures and supports documentation, change management, user training, and adoption of AI-enabled finance workflows.

Requirements

Bachelor’s degree in Information Systems, Data/Analytics, Computer Science, Engineering, or a related field.
Five or more years of progressive experience in finance transformation, financial systems, business analysis, or a related area.
Experience documenting processes, gathering requirements, analyzing workflows, and partnering with technical teams to implement solutions.
Practical understanding of AI, automation, or workflow improvement concepts and their application to business processes.
Strong analytical skills, including structuring ambiguous problems, defining success measures, and quantifying business value.
Strong communication skills and ability to influence and collaborate with stakeholders across Finance, IT, Audit, Risk, Operations, and other business areas.
Familiarity with responsible AI governance practices, including risk assessment, documentation, testing, monitoring, and approvals.
Experience working with internal controls, audit, risk, or compliance teams to design controlled processes and evidence requirements.
Experience in agile or product delivery environments, including backlog refinement, sprint planning, user acceptance testing, and release management.
Ability to apply accounting and finance knowledge to redesign workflows without compromising control intent, compliance requirements, or financial statement integrity.
Ability to identify opportunities for AI and automation, including drafting, classification, summarization, triage, reconciliation support, and workflow routing.
Ability to develop new ideas, solutions, and structures and promote technological advances and change adoption collaboratively.
Ability to recognize when formal accounting conclusions require human judgment, documented rationale, review, and approval.
Strong documentation skills, including process maps, narratives, requirements, test scripts, standard operating procedures, training materials, and control documentation.
Strong facilitation skills, including leading cross-functional workshops, guiding decisions, and building alignment across competing priorities.
Comfort working with financial data, including definitions, reconciliations, reasonableness checks, data quality considerations, and reporting requirements.
Ability to manage multiple priorities, resolve ambiguity, and drive work from concept through implementation and sustainment.
Strong ownership mindset and ability to deliver results through collaboration, influence, and follow-through.

Nice To Haves

Experience with Oracle Fusion or related close orchestration, consolidation, or reporting solutions.
Lean/Six Sigma, process improvement, finance transformation, workflow automation, or RPA experience.
Experience in health insurance, financial services, or another regulated financial reporting environment.
Experience with financial ERP systems and close, consolidation, workflow, or reporting tools.
CPA and/or MBA.

Responsibilities

Lead AI-enabled finance transformation initiatives by identifying, assessing, and prioritizing opportunities across Enterprise Accounting and related Finance functions.
Partner with accounting, reporting, tax, audit, Finance Technology, Analytics, and business stakeholders to understand workflows, pain points, control requirements, data dependencies, and desired outcomes.
Translate finance needs into AI and automation use cases, business requirements, user stories, acceptance criteria, test plans, data requirements, control considerations, and implementation roadmaps.
Design future-state finance workflows incorporating AI support for tasks such as journal entry preparation, reconciliations, variance analysis, close task management, document review, policy research, exception routing, and reporting support.
Manage the full lifecycle of AI models and solutions from development through deployment.
Develop, coordinate, and support prototypes, pilots, and proof-of-concept solutions using approved enterprise AI, automation, analytics, workflow, and data tools.
Evaluate AI outputs for accuracy, completeness, usability, control alignment, and appropriate human review.
Embed responsible AI, risk, compliance, information security, privacy, auditability, and internal control expectations in solution design, documentation, testing, monitoring, and sustainment.
Collaborate with technical teams on data mapping, workflow configuration, prompt or instruction design, solution testing, defect resolution, user acceptance testing, release readiness, and post-implementation stabilization.
Define and track business value, including manual effort, close cycle time, standardization, control consistency, audit readiness, error reduction, and user adoption.
Lead cross-functional working sessions to clarify scope, align stakeholders, prioritize requirements, resolve issues, manage dependencies, and guide decision-making.
Prepare and maintain process documentation, control narratives, solution documentation, standard operating procedures, testing evidence, training materials, and implementation communications.
Support change management and adoption by providing Finance users with guidance, training, feedback channels, operating procedures, and post-launch support.