Industry Cloud & Digital; ICD; AI Leader

Industry Cloud & Digital (ICD) – AI Leader

Level: Senior Leader – Client-facing and Internal transformation leadership

Location NY/NJ

The AI Leader in ICD is a senior leader, client‑facing technologist and transformation leader accountable for accelerating AI adoption at scale, realize measurable business value and embedding AI into Deal strategy and commercial constructs across A1 accounts

The role partners directly with CIOs, CTOs, COOs, Business Leaders, Sector leaders and ICD team to:

• Embed AI into software engineering, modernization, quality engineering, and SRE
• Shape AI‑led transformation roadmaps and commercial models
• Ensure AI initiatives move beyond experimentation to repeatable, governed value realization

This role bridges strategy, execution, and outcomes, ensuring AI becomes a trusted, sustainable lever for productivity, quality, speed, and resilience.

• Co‑create with clients and Delivery team, AI adoption roadmaps aligned to client business priorities aligned to WEGA archetypes
• Identify and prioritize high‑impact AI use cases (e.g., engineering productivity, accelerated modernization, intelligent quality, AI‑driven SRE).

• Embed AI into end‑to‑end software delivery workflows—from requirements to code generation, quality engineering, Dev Sec Ops  & SRE.
• Introduce agent‑based and AI‑assisted execution models where they deliver clear value.
• Establish delivery standards, reference architectures, and guardrails to ensure quality and security.

• Support organizational change by helping clients shift ways of working, roles, and skills to normalize AI in daily execution.
• Enable leadership and teams with structured adoption approaches, role‑based enablement, and best‑practice patterns.

• Define success metrics and dashboards to track AI adoption and business impact.
• Help clients continuously optimize AI initiatives based on measurable outcomes.

• Partner with client leadership to shape AI‑driven transformation programs across modernization and managed services.
• Translate AI capabilities into clear business cases and transformation narratives.

• Design commercial models that reflect AI‑driven productivity and outcomes, including:
  • Outcome‑based constructs
  • Productivity‑linked pricing
  • Gain‑share and shared‑value models
  • AI‑enabled service bundles
• Ensure AI benefits are explicitly defined, measured, and fairly shared
  .

• Address enterprise concerns around data security, residency, governance, and auditability.
• Ensure AI initiatives align with responsible AI principles and regulatory expectations.

• Ensure commitments made during strategy and contracting are seamlessly embedded into delivery execution, governance, and reporting—avoiding gaps between promise and realization.

• Act as a trusted AI advisor to senior client stakeholders.
• Facilitate executive discussions on AI strategy, adoption readiness, and transformation trade‑offs.
• Provide thought leadership on emerging AI and agentic delivery patterns relevant to client industries.

• Leading a team of FDE’s and AI thought leaders to drive client and business outcomes
• Create pov’s and assets that can be leveraged cross sectors
• Author and publish white papers to drive eminence for Wipro in the market
• Create rapid PoC’s in client environment to showcase value

Clients can expect a leader who brings:

• Deep experience in enterprise AI transformation
• Proven success delivering…