Finance Process Manager
Job Summary
The Finance Process Intelligence Manager will direct and guide the process intelligence plan for Finance, aligning with enterprise AI, automation, and transformation roadmaps. They will establish end-to-end process visibility across core Finance value streams and promote the adoption of process intelligence platforms like Celonis and SAP Signavio. The role requires translating insights into actionable improvements, partnering cross-functionally, and defining critical metrics to drive business value.
Responsibilities
- Direct and guide the finance process intelligence plan aligned with AI and automation roadmaps.
- Establish end-to-end process visibility across core Finance value streams.
- Promote adoption and governance of process intelligence platforms like Celonis and SAP Signavio.
- Translate process insights into a prioritized pipeline for automation and re-engineering.
Required Skills
- Bachelor’s degree with 5+ years experience or Master’s degree with 3+ years experience in a related field.
- Practical experience with process mining tools such as Celonis, SAP Signavio, or UiPath.
- Strong understanding of Finance processes and ERP-based transaction flows.
- Proven communication and stakeholder management skills.
Job Details
Key Responsibilities
Direct and guide the process intelligence plan for Finance, aligned with enterprise AI, automation, and transformation roadmaps
Establish end-to-end process visibility across core Finance value streams (Order to Cash, Source to Pay, Record to Report)
Promote adoption, governance, and value realization of process intelligence platforms (Celonis, SAP Signavio, UiPath)
Translate process insights into a prioritized pipeline of actions, including automation, agentic use cases, re-engineering, and control improvements
Partner with Finance, AI/Automation, and IT teams to convert insights into delivered and measured business value
Define and standardize process critical metrics, benchmarks, and executive dashboards for leadership and SteerCo reporting
Enable self-service process intelligence through data products, playbooks, and training to scale adoption across Finance
Act as a trusted advisor to Global Process Owners and Finance leadership, influencing decisions on performance optimization and transformation priorities
Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising good judgment and aligning with organizational standards and legal requirements.
Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled improvements within one’s scope of work.
Qualifications
Minimum Qualifications
Bachelor’s degree in Finance, Accounting, Information Systems, Engineering, or a related area with over 5 years of pertinent experience OR Master’s degree plus more than 3 years of related experience
Practical experience with process intelligence or process mining tools such as Celonis, SAP Signavio, UiPath, or equivalent
Strong understanding of Finance processes and ERP-based transaction flows
Proven ability to communicate complex insights clearly to senior and executive collaborators
Preferred Qualifications
8+ years of experience in Finance operations, process improvement, analytics, or digital transformation
Experience integrating process intelligence with automation, AI, or GenAI initiatives
Exposure to ERP transformation programs (e.g., ECC to S/4)
Experience in global or shared services Finance environments
Strong change leadership, collaborator management, and storytelling skills
Ability to apply baseline digital proficiency and role-appropriate AI literacy. Use AI-enabled tools responsibly for research, analysis, content creation, problem-solving, operational tasks, and business outcomes.
Success in This Role Looks Like
Process intelligence embedded into day-to-day decision-making and transformation planning
Clear linkage between process insights → automation/agentic pipeline → realized value
Measurable improvements in cycle times, throughput, compliance, and operational efficiency
Increased adoption of self-service insights, reducing reliance on reactive and manual analysis
Tangible contribution to Micron’s AI-enabled Finance transformation journey