Forward-Deployed Delivery Lead; AI & Data)

Confiz is seeking a Forward-Deployed Delivery Lead (AI & Data) who combines strong technical expertise, strategic delivery leadership, and a customer-first mindset.

We are looking for individuals with a Forward-Deployed Delivery (FDD) mindset who embed directly within customer environments, develop a deep understanding of business objectives and technical architecture, lead distributed delivery teams, and ensure the successful execution of AI and data-driven solutions. The ideal candidate brings hands‑on technical knowledge, strong business acumen, and the ability to engage confidently with customer executives, architects, and engineering teams.

Work Location: Denver, CO – Hybrid (Minimum 3 days onsite per week)

Employment Type: Full-time

Responsibilities

• Serve as the primary on-site point of contact for the customer, engaging with executive sponsors, business stakeholders, architects, and engineering teams.
• Develop and maintain a comprehensive understanding of the customer's business model, business units, KPIs, priorities, and stakeholder landscape.
• Own end-to-end delivery of strategic AI and data engagements, ensuring alignment between business objectives, technical solutions, and delivery outcomes.
• Prepare for customer meetings through thorough research and bring tangible deliverables, including technical findings, prototypes, query results, and actionable recommendations.
• Own and manage the end-to-end solution architecture, including data ingestion, data modeling, governance, AI agents, and underlying platforms.
• Understand, interpret, and explain data schemas; independently write and execute SQL queries to address customer questions and business requirements.
• Demonstrate a strong understanding of Databricks agents and agentic platforms, including their architecture, capabilities, limitations, and implementation.
• Present technical designs, solution demonstrations, and architectural trade-offs to customer executives, architects, and technical stakeholders.
• Review delivered solutions to ensure alignment with actual customer business needs and expected outcomes.
• Manage engagement scope, delivery plans, milestones, dependencies, risks, and decision logs.
• Lead delivery ceremonies, including sprint planning, daily standups, project reviews, and executive steering meetings.
• Manage scope changes, competing priorities, and stakeholder expectations while maintaining delivery quality and timelines.
• Provide clear and effective project updates to Confiz and customer leadership.
• Translate customer requirements, business context, and feedback into actionable direction for distributed and offshore engineering teams.
• Ensure engineering teams understand the business purpose behind their deliverables and can confidently communicate project progress and technical solutions.
• Mentor team members and encourage engineers to independently present their work during customer meetings and demonstrations.
• Identify emerging risks, changing business priorities, and potential opportunities for account growth, providing proactive recommendations.
• Leverage AI tools in daily workflows to improve research, preparation, technical problem‑solving, and delivery efficiency.

Requirements

• 10-12+ years of professional experience delivering data, analytics, or AI engagements, including at least 3 years in customer-facing delivery leadership.
• Hands‑on experience with Databricks or equivalent lakehouse platforms, including Unity Catalog, Delta Tables, Workflows, and data governance.
• Strong SQL skills and practical experience working with notebooks, with the ability to quickly understand and explain unfamiliar data schemas.
• Working knowledge of LLM‑based agent architectures, including Retrieval‑Augmented Generation (RAG), tool usage, orchestration,…