Base: $65,600 - $109,300; bonus/equity: not specif...
Hybrid
Enterprise technologies risk management
Data driven organizations strategy
Large-scale technology transformation projects
Assist clients to better leverage enterprise technologies to drive a higher return on investment and improve risk management
Job Summary
Assist clients to better leverage enterprise technologies to drive a higher return on investment and improve risk management.
Focus on finding value and enabling sustainable information performance by using data, tools, analytics, complex modeling, and industry expertise.
Bring strong leadership and project management skills to engagement teams, working in dynamic and cross-functional teams for large-scale and multi-national engagements.
Matching Summary
Assist clients to better leverage enterprise technologies to drive a higher return on investment and improve risk management.
Salary
Base: $65,600 - $109,300; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Enterprise technologies risk management
Data driven organizations strategy
Large-scale technology transformation projects
SAP S/4 HANA, BTP Security, IAG, SuccessFactors, Ariba, SAP GRC
IT and business process controls audit/review
Risk management and assurance over technology initiatives
Cloud security and IT risk assessments
Data governance assessments and reviews
Nice-to-have
Leadership and project management skills
Valuing differences and diverse perspectives
Emerging technologies like blockchain, RPA, AI
Experience with CPA Canada section 5970 (CSAE 3416) and SSAE 16, SOX/NI 52-109 programs
Data quality and analytics
Key Requirements
Bachelor’s or Master’s degree in Business, Information Technology, Finance, Data Science or Computer Science
Relevant consulting, assurance, or industry experience
Experience with large ERP solutions (SAP S/4 HANA, SuccessFactors, Ariba, SAP GRC)
Experience with emerging technologies (blockchain, RPA, AI) preferred
Experience with IT audits, data conversions, SOX/NI 52-109 programs, data quality and analytics preferred