Manager, Data & AI Architecture

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 Manager, Data and AI Architecture to join our Clients and Markets organization. Responsibilities: - Lead the architectural design, strategy, and hands-on technical execution of scalable data pipelines and multi-tiered architectures using Databricks and Medallion Architecture, integrating Salesforce (Marketing Cloud, Sales Cloud, Data Cloud) - Define and build governed Semantic Layers and Unity Catalog Metric Views to establish enterprise data models that power conversational analytics, CRM reporting, and AI products - Spearhead the implementation and rollout of Databricks Genie spaces, conversational analytics, and Databricks Apps, defining best practices for AI-driven data consumption across marketing and sales - Partner with senior business and tech stakeholders to translate strategic requirements into technical blueprints, while actively mentoring and upskilling offshore engineering teams to scale hands-on delivery - Proactively manage technical dependencies, roadmap milestones, and engineering quality across distributed teams, identifying architectural risks and driving governance reviews; champion and enforce data governance, lineage tracking, security, and ethical AI standards in collaboration with centralized AI Data Catalyst and architecture teams - Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: - Minimum eight years of recent progressive experience in Data Engineering & Platform Architecture, with a track record of balancing hands-on technical delivery with strategic workstream leadership - Bachelor's or Master's degree from an accredited university in computer science, data engineering, information systems, or a related field - Deep technical expertise in Databricks, Spark, SQL, Python, Medallion Architecture, Unity Catalog, and modern cloud integration patterns - Proven experience architecting and integrating Salesforce data environments (Marketing Cloud, Sales Cloud, or Data Cloud) with enterprise lake houses - Strong leadership in AI/GenAI concepts, semantic modeling, conversational analytics (for example, Databricks Genie), and experience guiding or upskilling distributed/offshore development teams - 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 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 is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and y