Job Summary
We are seeking a Project Manager to lead end-to-end delivery of AI/ML and Large Language Model (LLM) initiatives, bridging business objectives and technical execution for the Research & Development organization. This role operates within an Agile/Scrum environment and is accountable for delivering scalable, high-impact AI solutions and process redesign aligned to strategic priorities. The position serves as the central coordinator across business, technology and vendor teams, with full ownership of project health, execution, and outcomes.
Key Responsibilities
· Define project scope, objectives, success metrics and roadmap aligned to business goals including scope for MVP and POC execution
· Lead Agile/Scrum delivery, including sprint planning, backlog management, and release coordination
· Manage cross-functional internal teams and external vendors
· Ownership of end-to-end project health, including scope, timeline, budget, risks, and quality
· Translate business requirements into technical execution plans with clear milestones and prioritized backlogs
· Oversee delivery of AI/ML and LLM-based solutions and process change from use case definition through deployment of POC and MVP releases to full production implementation and scaling
· Monitor and mitigate risks related to data, model performance, integration, and delivery timelines
· Ensure alignment with regulatory, risk and change control (as applicable)
· Communicate progress, risks, and outcomes to stakeholders and executive leadership
- Help drive adoption of new ways of working
Qualifications & Experience
· 5–10+ years of project or program management experience in technology or data-driven initiatives
· Proven experience delivering AI/ML and LLM-based solutions in production environments
· Experience operating in Agile/Scrum environments with distributed, cross-functional teams
· Demonstrated ability to manage both internal engineering teams and external vendors
· Strong understanding of AI/ML concepts (e.g., data pipelines, model lifecycle, generative AI)
· Experience translating complex technical solutions into business outcomes
· Familiarity with data governance, privacy, and responsible AI considerations
· Excellent stakeholder management and executive communication skills
- A background in Research & Development or experience in clinical development projects
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。
