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
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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