AI Strategist, Senior Manager

Cognizant Consulting; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Cognizant Consulting is seeking a Senior Manager, AI Builder to act as a hands-on client advisor and engagement lead. The role converts business challenges into AI opportunities and implementation plans, conducts maturity assessments, and shapes PoCs and proposals.

The candidate will work with senior AI Builders and multidisciplinary teams to deliver day-to-day outcomes, governance, and reusable client assets across APJ markets.

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• 8–12 years of experience in consulting, business analysis, product or programme management, technology strategy, data and AI, or digital transformation.
• Ability to lead workstreams or small teams and work with senior client stakeholders.

Responsibilities

• Interview stakeholders and document business processes and pain points.
• Analyze data readiness and identify suitable AI, GenAI and agentic use cases.
• Develop prioritised roadmaps, ROI models and business cases for PoCs and proposals.
• Translate requirements into solution concepts, PoC scope and proposal content.
• Manage delivery, quality, and executive-ready outputs for engagements and PoCs.
• Incorporate governance, security, privacy, human oversight and change-management into recommendations.
• Research industry trends and create reusable use-case content and demos.

Skills

AI strategy

Stakeholder management

Project management

Communication

Business case development

Education

Bachelor's degree

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.

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