Descripción de la vacante

About the AI Market UnitThe AI Market Unit unifies Cognizant's AI expertise and best practices to turn our strongest capabilities into repeatable, packaged offerings for clients – positioning us to compete more effectively, win larger AI opportunities, and deliver stronger outcomes across the APJ region.

It is not a delivery factory or a generic centre of excellence. It is a lean, elite, purpose-built squad whose charter is to enable Cognizant to become the most credible

AI Strategist in the APJ market and to win a higher share of AI-first deals.

The Market Unit focuses on:

Engaging business leaders across our clients' organisations, not only IT

Shaping demand through packaged AI solutions and outcome-based commercial models

Targeting opportunities across the three Vectors - driving productivity, modernising core systems, and agentifying workflows

Strengthening Cognizant's AI brand through showcases, client narratives, and thought leadership

Bringing regional depth across ANZ, Japan, ASEAN+, and India, respecting each market's distinct AI dynamics, and driving AI fluency uplift across APJ

Role SummaryThe

AI Builder /Strategist is a senior client-facing advisor responsible for helping clients identify, prioritise, justify, and scale AI-led transformation initiatives. The role acts as the bridge between business strategy and AI execution, engaging C-suite executives to develop AI vision, operating models, investment roadmaps, business cases, and transformation programs.

The role combines management consulting, AI strategy, industry expertise, and commercial acumen to help clients move from AI experimentation to enterprise-wide value realisation. The consultant works closely with clients, industry leaders, AI ecosystem partners, hyperscalers,



solution architects, data scientists, AI engineers, and consulting teams to shape strategic AI opportunities and accelerate adoption.

Key Responsibilities1. Executive &

- CXO Engagement

Engage CXOs to identify AI-driven business opportunities

Facilitate AI strategy workshops and executive briefings

Translate AI capabilities into measurable business outcomes

- AI Strategy &
- Roadmap Development

Assess AI maturity, readiness, and organisational capabilities

Develop enterprise AI roadmaps aligned to business objectives

Define AI operating models, governance frameworks, and adoption strategies

Prioritise AI initiatives based on business value, feasibility, and risk

3.

Business

Case &

- Value Realisation

Develop AI investment cases, ROI models, and value-realisation frameworks

Quantify benefits including productivity, cost reduction, revenue growth, and customer experience improvements

Identify high-value use cases across business functions and industries

4.

Solution

Shaping &

- Deal Orchestration

Craft and orchestrate end-to-end AI solutions for clients across service lines and industries, mapped to Cognizant's AI Builder strategy

Create appropriate AI commercial and pricing models for PoCs and RFPs

5.

Solution

Delivery

Lead small teams to deliver PoCs and consulting assignments

Produce client-ready materials – business cases, value propositions, and demo narratives





- Sales, Growth &
- Thought Leadership

Define the AI go-to-market plan for the assigned industry – opportunity areas and solution plays

Research industry trends, pain points, and adoption drivers; craft industry AI use-case narratives

Contribute to market thought leadership and AI consulting offerings

Drive AI-enabled revenue growth and strategic client relationships

Key Performance Indicators

Bookings TCV / Influenced Bookings TCV

Billability: 30%

Experience &

- SkillsThe capability profile below is common to both levels. Levelling is differentiated solely by depth and breadth of experience, as set out in the levelling matrix that follows.

Proven AI strategy expertise, including Generative AI, Agentic AI, AI operating models, governance, Responsible AI, enterprise adoption, and AI-led transformation programs

Extensive CXO engagement experience, with the ability to facilitate executive workshops, influence senior stakeholders, and present complex AI concepts in business terms

Strong business case and value-realisation skills, including development of ROI models, investment cases, cost-benefit analyses, and executive funding proposals

Experience developing AI roadmaps and transformation strategies - from opportunity identification and use-case prioritisation through to enterprise-scale implementation

Strong understanding of modern AI technologies, including LLMs, GenAI, AI Agents, RAG, AI platforms (Azure AI/OpenAI, AWS Bedrock, Google Vertex AI), and enterprise data ecosystems

Dominant industry expertise in one or more sectors such as Insurance, Mining, Telecommunications, Financial Services, Retail, Transport, Hospitality, Public Sector, or Healthcare

📌 AI Strategist - Associate Director (Perú)
🏢 Cognizant Technology Solutions
📍 Perú