Applied AI Leader - Applied AI & Data Advisory

Job Title: Applied AI Leader - Applied AI & Data Advisory

City: East Brunswick

State/Province: New Jersey

Posting Start Date: 8/17/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

As an Applied AI Leader on this team, you will sit at the intersection of strategy and commercial growth — advising CxOs on where AI can create real business value, shaping transformation roadmaps, and expanding the advisory group’s footprint across marquee accounts in partnership with Account Executives and their teams.

Key Responsibilities:
Act as a trusted advisor to senior client executives, developing a deep understanding of each organization’s business priorities, data estate, and AI maturity, and translating that into pragmatic AI and data strategies, operating models, and roadmaps

Bring a clear point of view. Clients look to us for conviction — you’ll make firm, well-reasoned recommendations informed by industry and applied AI expertise, not a catalogue of possibilities

Carry accountability for growth, with a revenue target spanning the full pursuit lifecycle — from identifying and originating opportunities in Tier 1 accounts through to close

Shape engagements with clients who can become flagship references in their industries, turning early wins into repeatable, scalable success stories for the advisory group

Explore emerging possibilities with clients — co-innovating on the art of the possible while being candid about feasibility, responsible AI considerations, and realistic timelines to value

Build market presence: author points of view, craft proposals, business cases, and executive-level material, and represent Wipro at industry forums and client events

Work hand-in-hand with data and AI architects, delivery and engineering teams, industry practices, marketing, legal, and ecosystem partners to launch new advisory offerings and feed client insight back into Wipro’s AI and data roadmap

Qualifications :
12+ years across technology consulting, advisory, or enterprise solutioning, with substantial depth in AI, data, and analytics

A record of owning and expanding relationships within named, complex enterprise accounts — including growing engagements well beyond their original scope by opening up new business units, geographies, and use cases

Comfort operating independently at the most senior levels of a client organization — building relationships with CDOs, CIOs, CTOs, and business unit leaders, and leading executive conversations without needing senior air cover

Fluency in today’s AI and data landscape — generative and agentic AI, foundation models, MLOps/LLMOps, data platforms, and governance — paired with the judgment to distinguish what’s enterprise-ready from what’s still hype

Experience steering long, multi-stakeholder pursuit cycles that involve technical evaluations, proofs of concept, and enterprise procurement — including constructing business cases anchored in the client’s own numbers and holding firm on commercial terms

The presence to be equally credible in a room of data scientists and a boardroom of executives

An authentic enthusiasm for AI and a commitment to Wipro’s approach to responsible, secure, and value-led adoption

Desired Skills:
Hands-on grounding in data science, ML engineering, or AI product development that earns trust with technical stakeholders

Advisory or delivery experience in one or more of Wipro’s priority industries — for example banking and financial services, healthcare, energy, manufacturing, consumer, or technology — with real fluency in how those businesses run and measure success

Having been an early leader in a new practice or segment, building the go-to-market motion from the ground up rather than inheriting one

An established network across hyperscalers, foundation mode…