AI Strategist, Senior Manager

Cognizant; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Cognizant Singapore seeks a Senior Manager, AI Builder to translate business challenges into AI opportunities and implementation plans. You will collaborate with senior AI Builders and multidisciplinary teams to deliver high-quality client assets and measurable outcomes.

The role covers discovery, use-case prioritisation, business case development, PoC shaping, and day-to-day delivery with governance and change-management considerations.

Qualifications

• 8–12 years of experience in consulting, business analysis, product or programme management, technology strategy, data and AI, or digital transformation.
• Experience leading workstreams or small teams and working with senior client stakeholders.
• Practical understanding of Generative AI, Agentic AI, LLMs, RAG, governance and cloud AI platforms.
• Strong analytical skills in process assessment, use-case evaluation and KPI baselines.
• Ability to coordinate across business, architecture, engineering, data, security and change teams.

Responsibilities

• Discovery and analysis: interview stakeholders, document processes and pain points, analyse data and readiness.
• Use-case prioritisation and roadmap support: evaluate value, feasibility, risk and dependencies.
• Business case development: build benefit hypotheses, ROI models and value-tracking plans.
• Solution and proposal development: translate requirements into PoC scope and work plans.
• Engagement delivery: manage workplans, junior staff and client-facing outputs.
• Responsible adoption: include governance, privacy and change-management considerations.
• Market enablement: research trends and create reusable content for account pursuits.

Skills

8–12 years experience

Leadership of small teams

Generative AI / LLMs knowledge

Strong analytical skills

Stakeholder communication

Education

Bachelor’s degree or equivalent

Job description

Role Summary

The Senior Manager, AI Builder is a hands-on client advisor and engagement lead responsible for converting business challenges into structured AI opportunities and implementation plans. The role conducts maturity and readiness assessments, facilitates discovery and use-case prioritisation, builds business cases, shapes PoCs and proposals, and manages day-to-day delivery. The Senior Manager works closely with senior AI Builders and multidisciplinary teams to create high-quality, reusable client assets and measurable outcomes.

Key Responsibilities

• Discovery and analysis: Interview stakeholders, document business processes and pain points, analyse data and readiness, and identify suitable AI, GenAI and agentic use cases.


• Use-case prioritisation and roadmap support: Evaluate value, feasibility, risk and dependencies; develop prioritisation models, phased roadmaps and adoption recommendations.


• Business case development: Build benefit hypotheses, cost estimates, ROI models, KPI baselines and value-tracking plans with support from finance, delivery and industry specialists.


• Solution and proposal development: Translate requirements into solution concepts, PoC scope, work plans, assumptions, risks and proposal content; coordinate inputs from architects, engineers, data specialists and partners.


• Engagement delivery: Manage workplans, junior team members, client meetings, actions, quality and executive-ready outputs for consulting assignments and PoCs.


• Responsible adoption: Incorporate governance, security, privacy, human oversight and change-management considerations into recommendations and delivery plans.


• Market enablement: Research industry trends, create reusable use-case content and demos, support account pursuits, and share lessons across the APJ AI Builder community.

Key Performance Indicators

• Quality and on-time completion of assessments, roadmaps, business cases, proposals and PoCs


• Pipeline and bookings influenced through assigned pursuits and client engagements


• Client stakeholder satisfaction and progression from discovery to funded next step


• Reusable assets, insights and team upskilling contributions

Billability: 30%

Experience & Skills

• Typically 8–12 years of experience in consulting, business analysis, product or programme management, technology strategy, data and AI, or digital transformation.


• Experience leading workstreams or small teams and working directly with senior client stakeholders in discovery, advisory, solution or delivery settings.


• Practical understanding of Generative AI, Agentic AI, LLMs, RAG, context engineering, Responsible AI, governance, enterprise data and cloud AI platforms.


• Strong analytical skills in process assessment, use-case evaluation, roadmap development, benefits modelling and preparation of executive-ready materials.


• Ability to coordinate across business, architecture, engineering, data, security and change teams and to manage ambiguity in fast-moving engagements.


• Relevant industry or functional expertise and the ability to explain technical concepts in clear business language.


• Bachelor’s degree or equivalent experience; relevant AI, cloud, data, agile, product or consulting credentials are advantageous