Role Summary
The Assistant Director, AI Builder is a senior client-facing advisor who leads defined AI strategy, transformation and solution-shaping engagements. The role translates executive priorities into actionable AI roadmaps, prioritized use cases, investment cases and governed implementation plans. Working across clients, account teams, consulting, industries, service lines and ecosystem partners, the Assistant Director independently manages workstreams and small teams while supporting the Director in shaping strategic opportunities and scaling repeatable offerings across APJ.
Key Responsibilities
Client and executive engagement: Lead discovery sessions, executive briefings and AI strategy workshops; build trusted relationships with business and technology leaders; translate AI concepts into clear business outcomes.
AI strategy and roadmap: Assess AI maturity and readiness, identify value pools, prioritize use cases, and develop roadmaps, operating-model recommendations, governance controls and adoption plans.
Business case and value: Develop investment cases, ROI models, benefit baselines and value-realisation measures covering productivity, cost, growth, service quality and customer experience.
Solution shaping and commercial support: Orchestrate cross-functional solution inputs, define scope and delivery approach, contribute to proposals and RFPs, and support PoC and outcome-based commercial models.
Delivery leadership: Lead small consulting or PoC teams, manage quality, risks, dependencies and stakeholder expectations, and produce executive-ready deliverables and demonstration narratives.
Growth and capability building: Develop industry use-case narratives and reusable assets, support pipeline conversion and influenced bookings, coach junior team members, and contribute to thought leadership and AI fluency initiatives.
Key Performance Indicators
Bookings TCV / influenced bookings TCV and qualified pipeline supported
Conversion of discovery engagements into funded PoCs, consulting assignments or scaled programmes
Quality, timeliness and client satisfaction for assigned engagements
Reusable assets, industry narratives and team capability developed
Billability: 30%
Experience & Skills
Typically 12–16 years of experience in consulting, business transformation, technology strategy or digital transformation, including significant AI-related advisory or implementation experience.
Demonstrated ability to lead client workstreams, facilitate senior stakeholder workshops and convert complex AI topics into practical recommendations.
Strong working knowledge of Generative AI, Agentic AI, LLMs, RAG, context engineering, Responsible AI, governance, enterprise data and leading cloud AI platforms.
Proven experience in use-case prioritisation, AI roadmaps, business cases, value tracking, operating models and change or adoption planning.
Strong proposal development, solution-shaping, analytical, storytelling and executive-presentation skills.
Relevant industry depth in one or more priority sectors, with the ability to connect business processes, regulatory considerations and AI opportunities.
Bachelor’s degree or equivalent experience; postgraduate, cloud, AI, data, governance 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。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
