Operational/Executive Management :
- Define CoE strategy and roadmap to develop a vibrant DS & AI ecosystem in the country and realize the vision & objectives of CoE
- Identifies opportunities of collaboration. Adopt a - String of Pearls approach to build a powerful eco-system of stakeholders across Innovators, Technology players, ISPs, Academia & Government for the enable the CoE to be the catalyst for innovation, research, adoption, and skill & talent development
- Identify and raise funds from Government & industry partners to grow the CoE towards a self-sustaining basis over five (5) years of its operation
- Implements common CoE vision, oversees the execution of the CoE business strategy, and manages all resources including people, process, infrastructure, to deliver the agreed deliverables and create value to the industry, government, and academia partners
Lead efforts to develop DS & AI policies :
- Manages relationship with external agencies, partners, and government as appropriate to enable smooth operations and profitable growth of CoE activities
- Explores alliances with international organizations & bodies to enhance the capabilities of DS & AI in the country
- Represents the CoE to the public and outside groups, organizations, and agencies; responds to a wide variety of questions and comments
Managerial Excellence :
- Sets direction and vision for the business, team and helps them achieve/excel
- Identify, build, and nurture a collaborative network of organizations towards developing a vibrant DS & AI ecosystem
- Defines & manages CoE's positioning both externally and internally
- Promotes a mindset within CoE for sustained success, profitable growth and diversity
- Continually enhances own skills and builds knowledge in all aspects of the organization, the business and information system
Knowledge, Skills, Qualifications, Experience :
- Management degree (MBA - Strategy / Systems/ Marketing/ General) from Tier-1 institute) with understand of technology
- Experience in building an ecosystem integrating various stakeholders including industry, academia, and government
- Led programs with at-least one project of revenue of over TCV $20M USD spread over multiple geographies and domains
- Appreciation of deep technology areas like Data Science, AI and associated products
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