Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
AI Transformation Lead
Job
DTEL Engineering & Consultants Inc
Irvine, CA (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
83
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Lead enterprise-wide AI strategy, transformation, and adoption initiatives to drive measurable business outcomes. Partner with business, technology, data, operations, and executive stakeholders to identify opportunities, build AI roadmaps, govern implementation, and scale AI capabilities across the organization. Required Qualifications 10 15+ years of experience in digital transformation, data/AI, technology leadership, or consulting. 5+ years leading enterprise AI or analytics programs. Industry experience - financial services Experience delivering AI at scale not only experimentation. Strong executive stakeholder management and influencing skills. Experience with cloud and AI platforms such as Amazon Web Services, Microsoft Azure, Google Cloud, Anthropic Knowledge of GenAI, LLMs, MLOps, data governance, and AI security. Strong business case development and financial management. Key Responsibilities Define and execute enterprise AI transformation strategy aligned with business goals. Build multi-year AI roadmap across GenAI, analytics, automation, and intelligent operations. Identify high-value use cases and prioritize based on ROI, feasibility, and business impact. Establish AI operating model, governance, risk, security, and responsible AI practices. Lead AI product portfolio from ideation PoC production scale. Partner with business executives to redesign processes using AI and automation. Drive organizational change management and AI adoption programs. Create executive dashboards and communicate outcomes to leadership. Oversee vendor selection and ecosystem strategy (cloud, AI platforms, consulting partners). Build and lead cross-functional teams across data, engineering, architecture, product, and operations. Define KPIs for productivity, cost optimization, revenue growth, and customer experience.