Sr. Manager, Platform Delivery Lead, Data & AI

Significant experience leading technical delivery in an agile environment.

Experience as a lead data engineer, platform engineer, or solution architect.

Hands-on, full-stack experience with platform operations / continuous improvement in addition to design and implementation preferred

Strong technical understanding of AWS data and AI services (e.g., S3, EKS, Lake Formation, Bedrock) and the Databricks platform (e.g., Unity Catalog, Lakeflow/Delta Live Tables, model serving, databricks apps), including how these are assembled into enterprise-grade data and AI platforms

Experience building and operating shared, multi-tenant platform capabilities and self-service developer experiences

Experience working with large (15+) dispersed development teams

Own end-to-end delivery including timeline and technical quality of Data and AI platform products and capabilities, from ideation through production and ongoing operations

Apply a product-centric approach with clear ownership, roadmaps, service-level objectives, and platform adoption metrics

Oversee the development of scalable, reusable platform capabilities built on AWS and Databricks, exposed as self-service products to use case and tenant teams

Drive AI services enablement across the platform, delivering shared capabilities (model access, RAG and retrieval services, evaluation, guardrails, and orchestration) that let teams build and deploy AI solutions faster

Champion the creation of reusable assets and accelerators — agent templates, MCP tools and servers, prompt and evaluation libraries, and reference patterns — that accelerate the development and adoption of AI agents across the enterprise

Lead hybrid technical delivery teams of platform and data/AI engineers, drawing on technical experts within and beyond the team