Global consulting firm specializing in finance, risk, and enterprise transformation
Protiviti operates a large consulting practice across finance, risk, technology, and operations for Fortune 500 and government clients. The hiring mix reveals a finance-and-operations-heavy expansion: 32 finance roles and 50 engineering positions dominate the 165 open requisitions, with senior-level hires comprising 62% of the pipeline. Active projects center on cloud ERP migrations (Workday, Oracle Cloud, NetSuite) and process optimization in order-to-cash and record-to-report workflows—signaling clients are moving from legacy systems to modern cloud platforms while simultaneously trying to fix broken finance processes.
Notable leadership hires: Dynamics 365 Finance Lead
Protiviti is a global consulting firm headquartered in Menlo Park, California, with over 90 offices in more than 25 countries. The firm provides consulting and managed services in finance, technology, operations, risk, internal audit, legal, HR, and digital transformation. The client base spans Fortune 100 and Fortune 500 companies, government agencies, and pre-IPO firms. Protiviti operates as a wholly owned subsidiary of Robert Half and has built deep expertise in enterprise systems implementation (Oracle, Workday, SAP, NetSuite), financial process design, and compliance frameworks (SOC 2, ISO 27001, NIST). The firm combines traditional management consulting with hands-on implementation and managed services delivery.
Protiviti's primary tools include Workday, Oracle ERP and EPM Cloud, SAP, Anaplan, UiPath, AWS (Snowflake, Redshift, Lambda, Glue), Power BI, Tableau, and security frameworks like NIST, ISO 27001, and SOC 2. The firm is actively adopting Microsoft Dynamics 365 and Oracle Cloud modules.
Primary projects include Workday and Oracle Cloud implementations, finance process improvements (order-to-cash, record-to-report), payroll operating model design, and digital supply chain solutions. Many engagements focus on modernizing legacy finance systems and optimizing post-implementation efficiency.
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