Trace3
Director, Digital Consulting | AI Transformation
$190K–$230K
United States +1 · Director · Full-time · Posted Sep 2, 2026
- Location
- United States
Irvine, CA, United States - Experience
- 10+ years; accepted areas include consulting, industry technology leadership, vertical business transformation, or enterprise AI and data roles.
- Education
- Bachelor’s degree in a relevant field; equivalent experience considered. Master’s preferred.
About the job
Leads Trace3’s AI transformation agenda for a priority industry vertical and assigned anchor accounts, shaping strategy, solutions, pursuits, and measurable business outcomes.
What you'll do
- Own the AI point of view and account-level AI relationships, roadmaps, delivery health, and value realization for a priority vertical and assigned accounts.
- Shape AI architectures, governance, use cases, business cases, and pursuits; develop reusable vertical offerings, accelerators, and reference architectures.
- Coordinate account, sales, delivery, and domain teams, and turn engagement results into repeatable assets and references.
What they ask for
- 10+ years in consulting, industry technology leadership, vertical business transformation, or enterprise AI and data roles, with client-facing leadership and measurable outcomes.
- Deep credibility in at least one Trace3 priority vertical.
- Applied AI expertise across enterprise AI strategy, agentic and GenAI solution design, AI governance, and data readiness.
- Demonstrated ability to shape and grow client relationships and pursuits in a consultative capacity.
Nice to have
- Master’s degree; certifications or credentials in AI, cloud, data, or security platforms relevant to the vertical.
- Experience with organizational change management, AI-enabled process redesign, sales-and-delivery account-team models, or moving AI proofs of concept into production.
Pay
$190,000 — $230,000 USD base salary
Tools
AI, agentic, GenAI, AI platforms, data, cloud, security
AI focus
Enterprise AI transformation leadership, including vertical strategy, agentic and GenAI solution architecture, governance, data readiness, use-case prioritization, production readiness, and value measurement.
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