Product Owner / Subject Matter Expert (AI & Data)

Job Title:

Experience Required:

Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered.

The Product Owner / Subject Matter Expert (AI & Data) will lead the definition, prioritization, and successful delivery of intelligent, data-driven products by aligning business needs with AI/ML and data platform capabilities. Acting as a bridge between stakeholders, data engineering teams, and AI developers, this role ensures that business goals are translated into actionable technical requirements. The candidate will manage product backlogs, define epics and features, and guide cross-functional teams throughout the product development lifecycle. They will play a crucial role in driving innovation, ensuring data governance, and realizing value through AI-enhanced digital solutions.

Key Responsibilities:

• Define and manage the product roadmap across AI and data domains based on business strategy and stakeholder input.
• Translate business needs into technical requirements, user stories, and use cases for AI and data-driven applications.
• Collaborate with data scientists, AI engineers, and data engineers to prioritize features, define MVPs, and validate solution feasibility.
• Lead backlog refinement, sprint planning, and iteration reviews across multidisciplinary teams.
• Drive the adoption of AI models (e.g., LLMs, classification, prediction, recommendation) and data pipelines that support operational goals.
• Ensure inclusion of data governance, lineage, and compliance requirements in product development.
• Engage with business units to define KPIs and success metrics for AI and analytics products.
• Document product artifacts such as PRDs, feature definitions, data mappings, model selection criteria, and risk registers.
• Facilitate workshops, stakeholder demos, and solution walkthroughs to ensure ongoing alignment.
• Support responsible AI practices and secure data sharing standards.

Technical Skills:

• Product Management Tools:

  Azure DevOps, Jira, Confluence

• AI/ML Concepts:

  LLMs, NLP, predictive analytics, computer vision, generative AI

• AI Tools:

  OpenAI, Azure OpenAI, MLflow, LangChain, prompt engineering

• Data Platforms:

  Azure Data Factory, Databricks, Synapse Analytics, Purview, SQL, NoSQL

• Data Governance:

  Metadata management, data lineage, PII handling, classification standards

• Documentation:

  PRDs, data dictionaries, process flows, KPI dashboards

• Methodologies:

  Agile/Scrum, backlog management, MVP delivery

Qualification:

• Bachelors or Master’s in Computer Science, Data Science, Information Systems, or a related field.
• Preferred Certifications: Microsoft Certified (Azure AI Engineer Associate / Azure Data Fundamentals / Azure Data Engineer Associate).
• 10+ years of experience in product ownership, business analysis, or solution delivery in AI and data-centric environments.
• Proven success in delivering AI-enabled products and scalable data platforms.
• Strong communication, stakeholder facilitation, and technical documentation skills.