You will lead the technical sales cycle for Databricks engagements, from initial discovery and architecture design to proposal development and handoff to delivery teams. This involves building technical demos, defining project scope, and partnering with sales to translate client needs into executable consulting solutions.
The AI Strategist will lead client engagements to identify, prioritize, and operationalize high-value AI opportunities through business process analysis and strategy development. They will also build business cases, evaluate AI platforms, and guide senior stakeholders through investment decisions and implementation roadmaps.
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 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.
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.
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.
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.
