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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
