KPMG US
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Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Product Manager (Director) to join our Audit Technology Alliance organization.
Responsibilities
Define and own the end-to-end data architecture vision and strategic roadmap for KPMG's generative AI products
Lead the architectural design of a highly scalable and secure data ecosystem, governing how structured transactional data and unstructured knowledge are ingested, processed, and engineered for context
Serve as the chief authority on data architecture, collaborating with senior product, engineering, and audit leadership to influence business strategy and ensure solutions are built on a sound architectural foundation
Architect and oversee the design and development of data and context engineering capabilities, making critical design decisions that enable seamless integration into AI agent workflows
Establish and enforce enterprise-wide data governance, quality standards, and validation frameworks to guarantee the integrity, security, and reliability of all data underpinning our AI solutions
Drive the future of audit technology by leading architectural innovation, championing the evaluation and adoption of next-generation data platforms, knowledge graphs, and advanced data fabrics
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications
Minimum fifteen years of recent experience in data architecture, data engineering, or a similar field, with a proven track record of architecting and delivering large-scale data solutions for enterprise systems
Bachelor's degree from an accredited college or university; master's degree from an accredited college or university in Computer Science, Engineering, or a related technical discipline is preferred
Expertise in architecting cloud-native data ecosystems leveraging platforms like Databricks and Microsoft Fabric, with deep knowledge of designing solutions that incorporate RAG and vector search (e.g., Azure AI Search)
In-depth understanding of architectural patterns for processing and modeling both structured transactional data (across a range of ERP systems) and unstructured information for transactional processing and AI/ML applications
Demonstrated experience defining architectural principles, data governance policies, and technology standards within a large-scale, regulated, and Agile (SDLC) environment
Exceptional communication and leadership skills, with the ability to articulate a strategic technical vision, influence executive-level stakeholders, and guide solutioning for complex business problems
KPMG offers a comprehensive compensation and benefits package.
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. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
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Get AI-powered advice on this job and more exclusive features.
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Product Manager (Director) to join our Audit Technology Alliance organization.
Responsibilities
Define and own the end-to-end data architecture vision and strategic roadmap for KPMG's generative AI products
Lead the architectural design of a highly scalable and secure data ecosystem, governing how structured transactional data and unstructured knowledge are ingested, processed, and engineered for context
Serve as the chief authority on data architecture, collaborating with senior product, engineering, and audit leadership to influence business strategy and ensure solutions are built on a sound architectural foundation
Architect and oversee the design and development of data and context engineering capabilities, making critical design decisions that enable seamless integration into AI agent workflows
Establish and enforce enterprise-wide data governance, quality standards, and validation frameworks to guarantee the integrity, security, and reliability of all data underpinning our AI solutions
Drive the future of audit technology by leading architectural innovation, championing the evaluation and adoption of next-generation data platforms, knowledge graphs, and advanced data fabrics
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications
Minimum fifteen years of recent experience in data architecture, data engineering, or a similar field, with a proven track record of architecting and delivering large-scale data solutions for enterprise systems
Bachelor's degree from an accredited college or university; master's degree from an accredited college or university in Computer Science, Engineering, or a related technical discipline is preferred
Expertise in architecting cloud-native data ecosystems leveraging platforms like Databricks and Microsoft Fabric, with deep knowledge of designing solutions that incorporate RAG and vector search (e.g., Azure AI Search)
In-depth understanding of architectural patterns for processing and modeling both structured transactional data (across a range of ERP systems) and unstructured information for transactional processing and AI/ML applications
Demonstrated experience defining architectural principles, data governance policies, and technology standards within a large-scale, regulated, and Agile (SDLC) environment
Exceptional communication and leadership skills, with the ability to articulate a strategic technical vision, influence executive-level stakeholders, and guide solutioning for complex business problems
KPMG offers a comprehensive compensation and benefits package.
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. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
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