KPMG US
Manager, Finance Technology Transformation
KPMG is currently seeking a Manager, Finance Technology Transformation to join our CFO/F&A Transformation, Data and Technology team in our CFO organization. Our culture emphasizes individual development, inclusivity, and innovative excellence as we work with clients across today’s key industries.
If you’re passionate about your future, join our team.
Responsibilities
Oversee the portfolio of technology initiatives across the CFO organization, understanding dependencies and linkages between initiatives; update the portfolio based on changing priorities, technology capabilities, and ongoing initiative status; present portfolio status in leadership meetings on a periodic basis, highlighting issues and opportunities.
Lead the integration of Automation and AI initiatives, including Generative AI, across the CFO organization; identify strategic opportunities to leverage AI/ML, Automation, and Agentic AI for process optimization and advanced analytics.
Work with Digital Nexus (IT) and CFO process owners and leadership to develop, document and maintain the consolidated technology strategy roadmap and portfolio for the CFO organization.
Drive collaboration with CFO professionals and cross-functional teams to define requirements and deliver AI solutions; provide leadership and serve as a strategic business partner to Digital Nexus (IT) and other internal groups.
Establish thought leadership by proactively researching Technology, Data, and AI trends; continuously recommend innovative solutions and improvements to align with market developments.
Qualifications
Minimum five years of recent experience in finance technology transformation, Automation and AI, with proven leadership in process automation and improvement projects.
Bachelor’s degree in business, computer science, statistics, or related field; MBA and/or advanced degree preferred.
Progressive experience in the implementation, support, and use of finance applications such as ERP, EPM, data, reporting and analytics; strong business and technology acumen and a comprehensive understanding of finance and accounting business processes, applications, system architectures, and data models; proficiency in programming languages such as Python, R, SQL; experience with machine learning model development.
Exceptional collaboration and communication skills to effectively engage with stakeholders; excellent project management skills, including experience with Agile methodologies preferred.
Excellent interpersonal and communication skills, including the ability to present complex technological concepts clearly to diverse audiences.
Experience leading and developing high-performing teams and cross-functional projects.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; no sponsorship is available for this opportunity.
KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws.
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If you’re passionate about your future, join our team.
Responsibilities
Oversee the portfolio of technology initiatives across the CFO organization, understanding dependencies and linkages between initiatives; update the portfolio based on changing priorities, technology capabilities, and ongoing initiative status; present portfolio status in leadership meetings on a periodic basis, highlighting issues and opportunities.
Lead the integration of Automation and AI initiatives, including Generative AI, across the CFO organization; identify strategic opportunities to leverage AI/ML, Automation, and Agentic AI for process optimization and advanced analytics.
Work with Digital Nexus (IT) and CFO process owners and leadership to develop, document and maintain the consolidated technology strategy roadmap and portfolio for the CFO organization.
Drive collaboration with CFO professionals and cross-functional teams to define requirements and deliver AI solutions; provide leadership and serve as a strategic business partner to Digital Nexus (IT) and other internal groups.
Establish thought leadership by proactively researching Technology, Data, and AI trends; continuously recommend innovative solutions and improvements to align with market developments.
Qualifications
Minimum five years of recent experience in finance technology transformation, Automation and AI, with proven leadership in process automation and improvement projects.
Bachelor’s degree in business, computer science, statistics, or related field; MBA and/or advanced degree preferred.
Progressive experience in the implementation, support, and use of finance applications such as ERP, EPM, data, reporting and analytics; strong business and technology acumen and a comprehensive understanding of finance and accounting business processes, applications, system architectures, and data models; proficiency in programming languages such as Python, R, SQL; experience with machine learning model development.
Exceptional collaboration and communication skills to effectively engage with stakeholders; excellent project management skills, including experience with Agile methodologies preferred.
Excellent interpersonal and communication skills, including the ability to present complex technological concepts clearly to diverse audiences.
Experience leading and developing high-performing teams and cross-functional projects.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; no sponsorship is available for this opportunity.
KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws.
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