Analyst - Data & AI Product Owner

Job Purpose Support the successful delivery, adoption, and continuous improvement of Data & AI products by acting as the bridge between business stakeholders, delivery teams, and technology partners. Manage product requirements, backlog execution, user acceptance activities, release coordination, and ongoing product performance to ensure business needs are translated into valuable and scalable Data & AI solutions. Key Responsibilities Product Delivery & Lifecycle Management - Support end-to-end delivery of Data & AI products from requirement definition through deployment and adoption. - Manage and maintain product backlogs, user stories, features, and enhancement requests. - Coordinate delivery activities with business stakeholders, project teams, and implementation partners. - Support sprint planning, backlog refinement, release planning, and delivery tracking. - Monitor product performance and ensure timely resolution of issues and enhancement requests. Business Analysis & Requirements Management - Gather, document, and validate business requirements. - Translate business needs into functional requirements, user stories, and acceptance criteria. - Conduct stakeholder workshops, requirement walkthroughs, and product demonstrations. - Ensure requirements are clearly understood by delivery and development teams. - Support prioritization of requirements based on business value and strategic objectives. Stakeholder Engagement - Act as the primary interface between business users and delivery teams for assigned products. - Maintain regular engagement with functional stakeholders to align product requirements and priorities. - Support communication of product updates, releases, and enhancement plans. - Facilitate issue resolution and coordinate stakeholder feedback. Testing & Release Management - Coordinate User Acceptance Testing (UAT) activities. - Ensure test scenarios and acceptance criteria are defined and validated. - Support defect triage and resolution management. - Participate in release readiness reviews and production deployment activities. - Monitor post-release performance and business adoption. Product Adoption & Continuous Improvement - Support product adoption and value realization initiatives. - Gather user feedback and identify opportunities for product enhancements. - Track product utilization, adoption trends, and business benefits. - Support training, communication, and change management activities for assigned products. - Recommend improvements to maximize user experience and business value. Governance & Compliance - Ensure products comply with established Data & AI governance standards. - Support adherence to data governance, security, PDPL, and organizational policies. - Maintain product documentation, requirements repositories, and operational procedures. - Support reporting of product status, risks, issues, and performance metrics. Requirements Qualifications - Bachelor's degree in Information Systems, Computer Science, Engineering, Data Science, Business Administration, or a related field. - 0-3 years of experience in Product Management, Business Analysis, Digital Products, Data & AI, Analytics, or Technology Delivery. - Understanding of Agile delivery methodologies and product management principles. - Knowledge of Data & AI products, analytics platforms, reporting solutions, or digital products is preferred. - Strong stakeholder management, communication, and documentation skills. - Professional certifications such as PSPO, CSPO, Agile, Scrum, or Business Analysis certifications are preferred.

Bachelor's degree in Information Systems, Computer Science, Engineering, Data Science, Business Administration, or a related field. 0-3 years of experience in Product Management, Business Analysis, Digital Products, Data & AI, Analytics, or Technology Delivery. Understanding of Agile delivery methodologies and product management principles. Knowledge of Data & AI products, analytics platforms, reporting solutions, or digital products is preferred. Strong stakeholder management, communication, and documentation skills. Professional certifications such as PSPO, CSPO, Agile, Scrum, or Business Analysis certifications are preferred.