You will design and implement AI-optimized data platforms and end-to-end analytical solutions to solve complex business problems for clients. Additionally, you will act as a trusted advisor to stakeholders and lead small project teams to deliver scalable data engineering architectures.
You will act as a trusted data and AI advisor to clients, translating business questions into AI-ready data architectures. Additionally, you will design and implement scalable data platforms, pipelines, and semantic layers to support AI-driven analytics and business insights.
Participants will complete an online onboarding program to prepare for consulting engagements focused on delivering data and analytic solutions. You will engage with team members, upskill through instructor-led sessions, and work on client-facing projects.
The Director of AI Platforms and Infrastructure will own the strategy, administration, and operational excellence of enterprise AI platforms while supporting client deployments. This role involves establishing governance standards, managing platform costs, and serving as a technical bridge between vendors, internal stakeholders, and delivery teams.
The role involves delivering complex AI and data engineering projects on the Databricks platform while serving as a technical subject matter expert. Responsibilities include creating thought leadership content, building technical demonstrations, and providing architecture advisory for prospective clients.
The Technical Project Manager will serve as the primary client-facing lead for planning, delivery, and governance across data analytics and AI projects. They will act as a trusted advisor to stakeholders, managing project risks, timelines, and cross-functional teams of engineers and scientists.
Lead the strategy, administration, and operational excellence of internal and client-facing enterprise AI platforms. Establish governance standards, manage costs, and develop reusable deployment playbooks for AI operationalization.
Lead the planning, delivery, and governance of diverse data and AI projects while serving as the primary client-facing lead. Act as a trusted advisor to stakeholders from data owners to C-level executives to drive business value.
Design, build, and deploy production-ready enterprise AI applications, including agentic workflows and retrieval systems. Collaborate with cross-functional client teams to translate business problems into scalable technical AI solutions.
Build and scale the commercial motion for the Anthropic partnership, focusing on Claude-enabled enterprise AI solutions. This includes developing GTM plans, managing partner relationships, and driving pipeline growth through joint value propositions.
Design and implement scalable security architectures to enable the secure adoption and governance of enterprise AI tools like Claude Enterprise. Lead end-to-end AI security implementation efforts, including identity integration, access control, and risk mitigation across diverse client environments.
Design, build, and deploy production-scale AI solutions and agentic workflows using Claude for enterprise clients. Translate complex business problems into technical architectures and operationalize AI systems with a focus on governance and reliability.
Design, build, and operationalize production-grade AI and data solutions on the Databricks platform for enterprise clients. Lead discovery sessions to translate ambiguous business needs into technical architectures and scalable AI-native applications.
The Lead Analytics Consultant will independently deliver data analytics projects and lead consulting teams through complex tasks like dashboard development and platform modernization. They will also manage stakeholder relationships, define project scopes, and contribute to business development and pre-sales efforts.
