Onsite AI & Data Delivery Lead (Forward‑Deployed)

Confiz

Aurora (CO)

Hybrid

USD 170,000 - 210,000

Full time

14 hours ago
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Job summary

Confiz is seeking a Forward-Deployed Delivery Lead (AI & Data) to embed within customer environments, own end-to-end AI and data engagements, and lead distributed delivery teams from discovery through delivery. The role emphasizes business alignment, technical depth, and executive-facing communication.

Based in Denver, CO with a hybrid schedule (minimum 3 days onsite per week), you will translate customer requirements into actionable plans, mentor engineers, and manage scope, risks, and

Qualifications

  • 10–12+ years delivering data, analytics or AI engagements.
  • 3+ years in customer-facing delivery leadership.
  • Hands-on Databricks or lakehouse experience.
  • Strong SQL skills and data schema knowledge.

Responsibilities

  • Lead on-site delivery for customer executives and engineers.
  • Own end-to-end AI and data engagements aligning business goals.
  • Define delivery plans, milestones, risks and logs.
  • Mentor engineering teams and manage offshore components.
  • Present designs and trade-offs to stakeholders.

Skills

Databricks
SQL
LLM-based agent architectures
Data governance
End-to-end AI solution architecture
Stakeholder management
Delivery leadership
Forward‑Deployed mindset

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field

Tools

Unity Catalog
Delta Tables
Workflows
Databricks Genie

Job description

Confiz is seeking a Forward-Deployed Delivery Lead (AI & Data) to embed within customer environments, own end-to-end AI and data engagements, and lead distributed delivery teams from discovery through delivery. The role emphasizes business alignment, technical depth, and executive-facing communication.

Based in Denver, CO with a hybrid schedule (minimum 3 days onsite per week), you will translate customer requirements into actionable plans, mentor engineers, and manage scope, risks, and

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