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Associate Director, Technology Innovation

KPMG

SALT LAKE CITY, UT · HybridJobSeen 6 days agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
SALT LAKE CITY, UTHybrid
Work Authorization
Not specified

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

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

KPMG is seeking an Associate Director, Technology Innovation for its Digital Nexus organization. The role leads GenAI development and research, coordinates engineering teams, and works across functions to build proofs of concept and prototypes. The position is a hybrid work opportunity and requires substantial experience in software development and AI, a bachelor's degree, and hands-on experience with Python and specified AI platforms.

Skills & qualifications

RequiredNice to have

Skills

Software DevelopmentArtificial IntelligenceMachine LearningData ScienceAI Platform ImplementationPythonAzure AI FoundryVertex AIAI Application DevelopmentGenerative AILeadershipCross-Functional Team ManagementDigital SkillsAdaptabilityStrategic ThinkingCommunicationCollaborationAnalytical SkillsPresentation SkillsCustomer ServiceGoal SettingTeam DevelopmentResource PlanningOrganizational Influence

Qualifications

8+ Years Development Experience5+ Years AI ExperienceBachelor's Degree

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 an Associate Director, Technology Innovation to join our Digital Nexus organization. This is a hybrid work opportunity. Responsibilities: * Lead the development efforts in the field of Gen AI, including developing new algorithms, models, and techniques for analyzing and interpreting enterprise data * Collaborate with external partners and stakeholders to identify new opportunities for innovation and research in the field of Gen AI * Coordinate with a team of engineers and developers, providing guidance and support to ensure the successful execution of GenAI/AI projects * Work closely with cross-functional teams to develop proof of concept (POC) projects and prototypes that demonstrate the potential of Gen AI * Portray as a thought leader for Gen AI, Gen AI roadmaps, and next generation technology direction * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum eight years of recent experience in development implementing SDLC projects; minimum five years of recent experience in artificial intelligence, machine learning, and data science * Bachelor's degree from an accredited college or university is required * Proven experience in bringing in AI platforms/Solutions to solve business problems and make a business impact; hands-on experience with Python, Azure AI foundry or Google enterprise Agent platform (Vertex AI) * Strong leadership skills, experience managing and working with cross-functional team of developers and engineers; hands-on experience developing applications with AI technologies preferably GenAI; strong digital skills, fast learner on emerging technology and new ways of working * Ability to understand the long-term ("big picture") and short-term perspectives of situations and ability to apply multiple AI solutions to business problems * Excellent verbal/written communication, collaboration, analytical and presentation skills to lead an environment driven by customer service and teamwork; ability to set goals and participate in strategic initiatives for a team; foster the development of high-performance teams and interface with all levels of the organization; capability to participate in development of resource plans and structures and influence organizational priorities * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work... For full info follow application link. 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 "https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf? "contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. N o phone calls or agencies please.

How this job compares

Set against the 773 open Artificial Intelligence jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • US median$170–272K/yr510 salary ranges
  • US median$25–36/hr50 hourly ranges
Openings
Olive Jobs lists 12 open Artificial Intelligence jobs in Utah and 773 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 8 years of experience; Artificial Intelligence postings that state a minimum ask for 7 years at the median (569 postings).
Education
This posting asks for a bachelor's degree; 315 of the 773 open Artificial Intelligence jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 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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