Responsibilities

• Engage actively with clients to elicit and analyze business requirements.
• Transform business requirements into data driven and AI powered use cases.
• Engage with technical leads and subject matter experts to devise data architectures.
• Work with data engineers to align data architectures with business requirements.
• Work with data modelers to build conceptual, logical, and physical data models.
• Work with data scientists to implement AI powered use cases.
• Assist quality assurance engineers to ensure smooth testing of data architectures.
• Facilitate scrum ceremonies like sprint planning, daily stand-up, review and retrospective.
• Assist in monitoring project progress and taking necessary corrective actions as required.
• Provide status updates to clients and business stakeholders at frequent intervals.
• Assist in user acceptance testing and obtaining formal a...