Senior Associate, Data Strategy Enablement & Innovation

KPMG LLP; Greenville (SC); Sur place; USD 120 000 - 160 000; Plein temps

Résumé du poste

KPMG LLP is seeking a Senior Associate, Data Strategy Enablement and Innovation within the Digital Nexus organization. The role focuses on advancing AI-driven data capabilities and contributing to the firm-wide data strategy.

You will work on AI architectures, build scalable data solutions on Azure and Google Cloud, and collaborate with cross-functional teams to translate complex results into actionable insights while continuously learning in a high-performance environment.

Qualifications

• Minimum three years of experience in AI/Data Engineering, Software Development, or Data Analytics.
• Hands-on cloud experience, especially Azure (Databricks) and preferably GCP.
• Practical experience with Generative AI, LLMs, and agentic frameworks.

Responsabilités

• Contribute to AI/data architecture and implement firm-wide data strategy.
• Experiment with emerging Data and AI technologies; document results.
• Assess AI systems using tests, metrics and benchmarks.
• Build scalable data solutions and reusable frameworks using Azure and Google ecosystems.
• Communicate technical concepts and data-driven insights to stakeholders.
• Collaborate in a high-performance team and engage in ongoing learning.

Connaissances

AI

Full-stack

Cloud Azure

GCP

Data Analytics

Communication

Teamwork

Formation

Bachelor's degree in computer science, engineering, data science, or related field

Outils

Azure Databricks

Google Cloud Platform

Description du poste

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)