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KPMG LLP

Senior Associate, Data Strategy Enablement & Innovation

Minneapolis, MN, United States

$11.41 USD / hour

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Job details

Pay: $11.41 USD / hour
Education: Bachelor’s degree
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Duties

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 Senior Associate, Data Strategy Enablement and Innovation to join our Digital Nexus organization.

Responsibilities:

Contribute to the firm's AI and Data architecture by applying best practices to build scalable, secure, and reliable systems; support the implementation of the firm-wide data strategy and specialized AI systems, including Knowledge Assistants and Agentic Frameworks

Participate in the evaluation of emerging Data and AI technologies by conducting hands-on experiments with ecosystem vendors; assist in documenting technical results and translating successful proofs-of-concept into functional capabilities

Utilize established tests, metrics, and benchmarks to assess the quality, performance, and impact of AI systems

Build reusable frameworks, APIs, and scalable data solutions using the Azure and Google ecosystems, helping cross-functional teams deliver their advanced analytics and AI-driven use cases

Work closely with technology teams and business stakeholders to ensure AI solutions and experiments align with functional priorities; clearly communicate technical concepts and data-driven insights to team members and project leaders

Work collaboratively within a high-performance team environment; actively engage in continuous learning and professional development, and share knowledge with peers

Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

Minimum three years of recent progressive experience in a role such as AI/Data Engineering, Software Development, or Data Analytics, with a background in AI full-stack development and platform enablement

Bachelor's degree in computer science, engineering, data science, or a related field from an accredited college or university is required

Hands-on experience developing and delivering solutions on cloud platforms, with required experience in Microsoft Azure (including Azure Databricks) and a strong preference for experience with the Google Cloud Platform (GCP) ecosystem

Practical experience with Generative AI, including hands-on work with Large Language Models (LLMs like Google Gemini), retrieval-augmented generation (RAG), and the implementation of agentic frameworks

Ability to contribute to technology projects, adhere to established architectural standards, and utilize benchmarks and metrics for evaluating AI systems

Strong communication and teamwork skills, with a proven ability to collaborate effectively with business stakeholders and translate technical ideas into actionable tasks

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 visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa)

KPMG LLP and its affiliates and 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 LLP 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. Depending on job classification, standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year depending on your job classification and entity affiliation. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8189_9_26

KPMG LLP and its affiliates and subsidiaries ("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/ethnicity, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, pregnancy, childbirth or other related condition, military/veteran status, genetic information, status as a victim of domestic violence or sexual abuse or any other legally protected status. The attached link contains further information regarding the firm's compliance with federal, state, and local recruitment and hiring laws

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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. No phone calls or agencies please.

Minimum Education Required

Bachelor Degree

Minimum Experience Required

3 - 20 years

Shift

First (Day)

Number of Openings

Public Transportation Accessible

Yes

Veterans Encouraged to Apply

Physical Required

Yes

Drug Test Required

Yes

Compensation

$11.41 / Hourly

Postal Code

55401

Job Type

Full Time

Place of Work

On-site

Requisition ID

134362-A

Job Benefits

Not specified

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More about this job

Skills

Microsoft Azure
Data engineering
Software development
Data analysis
Full-stack development
Computer science
Databricks
Google Cloud
Communication skills
Teamwork
J
CPT
Compensation and benefits
Recruitment
Regulatory compliance

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