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AI Solutions Deployment Lead

KPMG

NEW YORK, NYJobSeen 3w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

KPMG is seeking a Deployment Lead for its Audit Technology Alliance organization to lead deployment and adoption of generative AI solutions across member firms. The role coordinates product, engineering, audit and stakeholder teams; translates user feedback into product improvements; and develops deployment plans, documentation, training materials and adoption metrics. The position seeks at least five years of recent client-facing experience, with generative AI experience and a bachelor's degree preferred.

Skills & qualifications

RequiredNice to have

Skills

Generative AI Solutions, requiredSoftware Product Learning, requiredBusiness Value Articulation, requiredStakeholder Management, requiredCommunication, requiredRelationship Building, requiredConsensus Building, requiredProduct Documentation, requiredRelease Notes, requiredStrategic Communications, requiredUser Adoption, required

Qualifications

Five Years Client-Facing Experience, requiredBachelor's Degree, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

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 Deployment Lead to join our Audit Technology Alliance organization.Responsibilities: * Lead the end-to-end product lifecycle for our generative AI solutions across KPMG member firms, overseeing deployment planning, execution and adoption strategies * Collaborate closely with product, engineering and audit teams to ensure seamless product releases and act as the primary liaison for member firm stakeholders to manage relationships and expectations * Establish and manage a streamlined feedback loop from member firms to the product development team, translating user insights into actionable improvements and ensuring our solutions meet the highest quality standards * Drive product adoption by delivering timely, user-centric release documentation, training materials and strategic communications that empower end-users and highlight the value of our generative AI tools * Create deployment strategies and communicate deployment plans to US and global member firms; assist with creating user guides and other collateral to assist with adoption * Work with product team to design and develop metrics to track and report on adoption; work with member firms on plans to increase adoption based on current usage * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environmentQualifications: * Minimum five years of recent experience in a client-facing role such as customer success, product management, change management or management consulting, preferably within a global enterprise software or SaaS environment; background in Audit is also relevant, given our customer base * Bachelor's degree from an accredited college or university is preferred * Demonstrated ability to quickly learn complex software products and articulate their business value to both end-users and executive leadership; experience with AI-powered solutions is a significant plus * Demonstrated knowledge and prior experience with generative AI solutions * Exceptional stakeholder management and communication skills, with a proven track record of building trusted relationships with senior leadership and driving consensus across diverse international teams * Proven ability to create and deliver clear, user-centric product documentation, release notes and strategic communications that drive user adoption and support(200TEC)KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on

How this job compares

Set against the 10,661 open Product Management jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This postingNot listed
  • New York median$166–230K/yr955 salary ranges
  • New York median$30/hr21 hourly ranges
Openings
Olive Jobs lists 1,169 open Product Management jobs in New York and 10,661 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 5 years of experience; Product Management postings that state a minimum ask for 7 years at the median (8,974 postings).
Education
3,215 of the 10,661 open Product Management jobs (30%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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