Staff, Business Process & Commercial Operations Manager
Intuit · Atlanta, GA · 2 days ago
On-siteManagement$150k–$180k/yrFull-time
Responsibilities
- Design and govern the Expert Excellence supply chain architecture and operating model — defining the process framework, prioritization criteria, and governance standards the delivery team runs against
- Own business process design across the function — map current-state workflows, identify inefficiencies, and implement future-state processes with clear ownership and accountability
- Manage financial operations — vendor contracts, PO lifecycle, CW and FTE spend tracking, and budget reconciliation
- Work directly with Intuit Finance and Procurement as the team's primary point of contact on all financial and vendor matters
- Translate tribal knowledge and manual processes into documented, repeatable systems that scale
- Partner with cross-functional teams to ensure the supply chain integrates cleanly with the broader Expert Excellence operating model
Qualifications
- Preferred: Experience designing operating models and business process frameworks for complex cross-functional organizations
- Required: Financial management experience — budget tracking, PO lifecycle management, vendor spend reconciliation, and P&L ownership
- Experience designing and governing supply chain or demand management processes
- Demonstrated ability to build financial tracking infrastructure and reporting models
- Comfort navigating large company Finance and Procurement systems and relationships
- Builder orientation — comfortable walking into ambiguity, finding what exists, and creating structure where none exists
- Strong documentation and systems thinking skills — you translate how things work into repeatable processes
- Experience standing up a new operational function from scratch
- Familiarity with Intuit financial and procurement systems
- Experience in a learning, talent, or professional services organization
- Strong business case development skills
- Prior experience in a high-growth or high-ambiguity environment