Business Support Services / Experienced / Senior Associate
Senior Associate, Data Strategy Enablement & Innovation
Albany, NY; Albuquerque, NM; Ashburn, VA; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Lincoln, NE; Louisville, KY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Nashville, TN; New Orleans, LA; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Salt Lake City, UT; San Antonio, TX; Short Hills, NJ; Shreveport, LA; St Louis, MO; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Winston-Salem, NC
134362
Experienced
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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)