Oversee the end-to-end lifecycle of synthetic data preparation for AI programs, from planning and execution to delivery.
Manage the program requirements as per the scope, objectives, timelines, and resource in collaboration with consultants and internal teams.
Capability and knowledge to handle cloud server configurations will be a plus point
Track project progress, manage risks, and ensure timely completion of deliverables.
Stakeholder Coordination:
Act as the primary point of contact between the organization and external consultants or firms providing services.
Facilitate clear communication of project goals, expectations, and feedback between stakeholders.
Contribute to the technical evaluation of problem statements and for documentation of qualified problem statements
Take the initiative for actively scouting for startups to apply for challenges
Manage the end-to-end process of onboarding, monitoring, evaluating and reporting the milestone wise progress/performance of the programs innovation projects in accordance with the guidelines and meeting the expectations of Sponsoring organisation;
To manage planning and implementation of events, conferences, visits, startup demos, ecosystem meetups, required for the Program
Technical Oversight:
Collaborate with data science teams to ensure synthetic data solutions meet technical requirements and quality standards.
Validate data preparation methodologies and ensure compliance with regulatory and ethical guidelines.
Other similar tasks based on the organization’s requirements.