AI Onsite Business Analyst/ Project lead
Role Overview
We are looking for an onsite Business Analyst with experience in Artificial Intelligence (AI) and the Media & Entertainment industry. You will work closely with client stakeholders, Solution Architects, and software engineers to define requirements, bridge communication gaps, and deliver AI-driven media products (such as automated content tagging, recommendation engines, or generative AI workflows)
Key Responsibilities
- Requirement Gathering: Translate complex business goals from media stakeholders into clear functional requirements and user stories for AI/ML teams.
- Onsite Collaboration: Act as the primary onsite point of contact for the client, leading workshops, daily stand-ups, and review sessions.
- AI/Data Product Lifecycle: Support the end-to-end delivery of AI models, ensuring data quality, model accuracy metrics, and alignment with business KPIs.
- Process Mapping: Analyze existing media workflows (video editing, content distribution, asset management) and identify areas for AI automation.
- Backlog Management: Write acceptance criteria, prioritize the product backlog, and manage sprint planning using Agile tools like Jira or Confluence.
- User Acceptance Testing (UAT): Coordinate and execute UAT to ensure AI outputs meet business expectations before deployment.
Required Qualifications & Skills
- Experience: 5+ years of experience as a Business Analyst in tech or media sectors.
- Domain Knowledge: Strong understanding of the Media & Entertainment industry (OTT platforms, digital publishing, broadcasting, or digital asset management).
- AI/Data Acumen: Hands-on experience working on AI, Machine Learning, Generative AI, or Big Data projects. Ability to understand model performance metrics (e.g., precision, recall, accuracy).
- Core BA Skills: Proficient in requirements elicitation, gap analysis, creating wireframes, and writing detailed functional specification documents.
- Technical Skills: Familiarity with SQL for data profiling and Agile/Scrum methodologies.
- Soft Skills: Excellent client-facing communication, negotiation, and presentation skills.
Preferred / Nice-to-Have Skills
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and their AI/ML services.
- Knowledge of Computer Vision or Natural Language Processing (NLP) applications in media.
- Certification in Agile (CSM) or Business Analysis (IIBA/CBAP)
*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.
Salary and Other Compensation:
Applications will be accepted until Aug 27, 2026,
The annual salary for this position is between $ 75,000 - $ 130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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。







