Forward-Deployed Delivery Lead (AI & Data)

Confiz • Denver, CO

4d • Hybrid

About The Position

Confiz is seeking a Forward-Deployed Delivery Lead focused on AI and data who combines technical expertise, strategic delivery leadership, and a customer-first mindset. The role embeds directly within customer environments to understand business objectives and technical architecture, lead distributed delivery teams, and deliver AI- and data-driven solutions. The lead serves as the primary on-site customer contact and owns strategic engagements from discovery through delivery, aligning business needs, solution architecture, and delivery outcomes. The position is hybrid in Denver, Colorado, with a minimum of three days onsite per week, and is full-time.

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 with notebooks, including 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, and evaluation.
• Strong understanding of end-to-end data and AI solution architecture, including ingestion, data modeling, governance, and agentic platforms.
• Ability to quickly understand new business domains and establish credibility with business and technical stakeholders.
• Experience managing distributed, offshore, or cross-functional engineering teams.
• Demonstrated ability to manage project delivery, stakeholder expectations, risks, scope, and competing priorities.
• Excellent verbal and written communication skills, with the ability to engage executive leaders and technical teams.
• Strong analytical, problem-solving, and decision-making skills, and ability to work independently in ambiguous environments.
• Willingness and ability to work on-site with customers in Denver, Colorado, at least 3 days per week.
• Proficiency in using AI tools to enhance daily productivity and delivery workflows.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field.
• At least 3 years of experience leading customer-facing technology delivery engagements.

Nice To Haves

• Databricks Data Engineer or Generative AI Engineer certification.
• Hands-on experience with Databricks Genie, Mosaic AI, and agent development tools.
• Previous experience as a Solution Architect, Data Engineer, or Product Manager before transitioning into delivery leadership.
• Consulting or professional-services background with accountability for project delivery and account health.
• Experience in telecom, media, retail, or other data-intensive industries with multiple business units.
• Experience establishing and implementing enterprise data governance frameworks across multiple business units.
• Active use of AI tools to accelerate research, technical problem-solving, and delivery workflows.
• Ability to connect technical implementations with measurable business outcomes and customer priorities.
• Comfort working directly within customer environments, independently navigating technical ambiguity, and taking ownership from discovery through delivery.

Responsibilities

• Serve as the primary on-site customer contact, engaging with executive sponsors, business stakeholders, architects, and engineering teams.
• Develop and maintain a detailed understanding of the customer's business model, business units, KPIs, priorities, and stakeholders.
• Own end-to-end delivery of strategic AI and data engagements, aligning business objectives, technical solutions, and outcomes.
• Prepare for customer meetings through research and provide tangible deliverables, such as technical findings, prototypes, query results, and recommendations.
• Own and manage solution architecture across data ingestion, data modeling, governance, AI agents, and underlying platforms.
• Interpret data schemas and independently write and execute SQL queries to address customer questions and business requirements.
• Explain Databricks agents and agentic platforms, including their architecture, capabilities, limitations, and implementation.
• Present technical designs, demonstrations, and architectural trade-offs to executive, architecture, and technical audiences.
• Review delivered solutions to ensure they meet customer 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 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 of deliverables and can communicate project progress and technical solutions.
• Mentor team members and encourage engineers to present their work in customer meetings and demonstrations.
• Identify emerging risks, changing business priorities, and account-growth opportunities, and provide proactive recommendations.
• Use AI tools in daily workflows to improve research, preparation, technical problem-solving, and delivery efficiency.

Benefits

• Learning through collaboration.
• A workplace culture that aims to make work fun.
• Opportunities to work with cutting-edge technologies and contribute to company and personal success.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior