
Manager Data AI Architecture
MILWAUKEE, WIJobSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
KPMG is seeking a Manager, Data and AI Architecture for its Clients and Markets organization. The role leads architecture and hands-on delivery for data pipelines, enterprise data models, conversational analytics, and AI products, while partnering with business and technology stakeholders and mentoring distributed engineering teams. It also oversees technical dependencies, roadmap milestones, engineering quality, data governance, lineage, security, and ethical AI standards.
Skills & qualifications
Skills
Qualifications
Full job description
JOB REQUIREMENTS: 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 environmentQualifications: 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... For full info follow application link. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link "https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf? "contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/DFFFD4E055C54503
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