Partner with stakeholders to identify and define AI use cases aligned with strategic goals.
Translate business challenges into clear problem statements and solution requirements.
Document functional and non-functional requirements for AI models, data pipelines, and interfaces.
Collaborate with data scientists, engineers, and product managers to validate feasibility and scope.
Support backlog grooming, sprint planning, and user acceptance testing (UAT).
Work with data teams to identify relevant data sources and assess data quality.
Understand the lifecycle of AI models, including training, validation, deployment, and monitoring.
Assist in defining success metrics and performance benchmarks for AI solutions.
Facilitate workshops, interviews, and working sessions to gather insights and feedback.
Prepare and deliver clear documentation, reports, and presentations for technical and non-technical audiences.
Manage stakeholder expectations and ensure alignment throughout the project lifecycle.
Track progress against milestones and ensure timely delivery of business analysis artifacts.
Support change management and adoption efforts for AI-enabled solutions.
Help measure and report on business impact, ROI, and continuous improvement opportunities.
Requirements
3–5 years of experience in business analysis or product ownership, with exposure to AI, ML, or advanced analytics projects.
Strong understanding of AI solution lifecycle and data-driven decision-making.
Proven track record of driving developer accountability and adherence by implementing structured accountability frameworks, and executing timely escalation protocols.
Experience working in Agile environments and using tools like JIRA, Confluence, and Power BI.
Ability to translate complex technical concepts into business-friendly language.
Proficiency in Microsoft Office Suite.
Excellent communication and stakeholder management skills.
Preferred: Bachelor’s Degree in Business, Data Analytics, Computer Science, or related field
Certification in Business Analysis (CBAP, PMI-PBA) or Agile methodologies.
Experience with cloud platforms (Azure, AWS, GCP) and MLOps practices.
Familiarity with data governance and responsible AI principles.
Benefits
Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance