AI Transformation Lead

Tata Consultancy Services; Irvine (CA); On-site; USD 125,000 - 185,000; Full time

Job summary

Tata Consultancy Services in Irvine, CA seeks an AI Transformation Lead to drive enterprise-wide AI strategy, transformation, and adoption. You will partner with business, technology, data, operations, and executives to identify opportunities, build roadmaps, govern implementations, and scale AI capabilities across the organization.

Responsibilities include defining an enterprise AI strategy, building a multi-year roadmap, prioritizing high-value use cases by ROI, establishing governance and

Qualifications

• 10–15+ years in digital transformation, data/AI, technology leadership, or consulting.
• 5+ years leading enterprise AI/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.

Responsibilities

• Define and execute enterprise AI transformation strategy.
• 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.

Skills

Digital transformation

AI leadership

Executive stakeholder management

Cloud platforms

GenAI & LLMs

MLOps

Data governance

AI security

Business case / financial management

Strategy development

Job description

Job Description

AI Transformation Lead

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.

Salary Range- $125,000-$185,000 a year