Senior Associate, Data Strategy Enablement & Innovation

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 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 sal