Senior Associate, Data Strategy Enablement & Innovation

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
• Actively engage in continuous learning and professional development, and share knowledge with peers

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

Benefits

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 job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday.

Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. No phone calls or agencies please. 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.