BD Sr. Director

Cognizant; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cognizant is seeking an AI Strategy Consultant in India to help clients identify, prioritize, and scale AI-led transformations that deliver measurable business outcomes. You will collaborate with C-suite executives, industry leaders, and ecosystem partners to accelerate enterprise AI adoption within the APJ Market Unit.

You will engage CXOs to develop AI roadmaps, governance models, and ROI-based business cases, shape end-to-end AI solutions, and contribute to growth initiatives across sectors

Qualifications

• Proven AI strategy expertise, including Generative AI, Agentic AI, and enterprise adoption.
• Extensive CXO engagement experience with executive workshops and governance ability.
• Strong ROI and business case development for funding AI initiatives.
• Experience building AI roadmaps from identification to enterprise-scale implementation.
• Knowledge of modern AI tech: LLMs, GenAI, AI Agents, and AI platforms.
• Dominant industry expertise in Insurance, Mining, Telecommunications, Financial Services, Retail, Transport, Healthcare, or Public Sector.

Responsibilities

• Engage senior leaders to identify AI opportunities and develop transformation strategies.
• Assess AI maturity and define enterprise AI roadmaps and governance.
• Develop AI investment cases, ROI models, and funding proposals.
• Shape end-to-end AI solutions and go-to-market strategies aligned with objectives.
• Drive thought leadership and AI narratives across the APJ region.

Skills

AI strategy

CXO engagement

ROI modeling

AI roadmaps

GenAI/Large Language Models

Industry domain expertise

Tools

Azure AI

OpenAI

AWS Bedrock

Google Vertex AI

Job description

AI Strategy Consultant

About the role

As an AI Strategy Consultant, you will make an impact by helping organizations identify, prioritize, and scale AI-led transformation initiatives that deliver measurable business outcomes. You will be a valued member of the APJ AI Market Unit and work collaboratively with C-suite executives, industry leaders, hyperscalers, consulting teams, solution architects, AI engineers, and ecosystem partners to accelerate enterprise AI adoption and value realization.

In this role, you will:

• Engage senior business leaders and CXOs to identify AI-driven opportunities and develop transformation strategies.
• Assess AI maturity and readiness, and define enterprise AI roadmaps, operating models, governance frameworks, and adoption strategies.
• Develop AI investment cases, ROI models, value realization frameworks, and executive business cases.
• Shape end-to-end AI solutions, commercial models, and go-to-market strategies that align with business objectives and industry priorities.
• Drive thought leadership, industry-specific AI narratives, and strategic growth initiatives across the APJ region.

Work model: Work from Office

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring working in a client or Cognizant office in APJ.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

• 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.

These will help you stand out

• Experience defining AI operating models, governance frameworks, and Responsible AI programs.
• Expertise in shaping AI-led business transformation initiatives across large enterprises.
• Strong commercial acumen with experience developing innovative AI pricing and outcome-based commercial models.
• Experience working with hyperscalers, AI ecosystem partners, and enterprise technology platforms.
• Proven thought leadership through industry publications, conferences, client workshops, or AI innovation programs.