Head - Enterprise AI/Gen AI & Advanced Technologies

Head Enterprise AI, Gen AI, and Advanced Technologies

Seeking an accomplished and visionary leader to spearhead Enterprise AI, Gen AI, and Advanced Technology endeavors. This role demands an adept professional well-versed in data management, analytics, cloud technologies, AI, Gen AI, and Machine Learning. The responsibilities encompass collaborative engagement with Enterprise functions and Business Units, crafting an Enterprise AI roadmap, identifying opportunities, and guiding cross-functional teams in delivering innovative solutions. Exceptional communication, catering to both technical and non-technical stakeholders, coupled with the ability to inspire and mentor teams for optimal outcomes, is paramount.

Key Responsibilities:

- AI Strategy and Roadmap Development: Create and implement a comprehensive AI strategy in alignment with business objectives. Identify use cases, nurture stakeholder relationships, collaborate on AI vision with leaders and clients, and devise strategies mirroring industry trends and technological advancements.

- Leadership in Enterprise AI Solutions: Lead the development and implementation of AI solutions by orchestrating cross-functional teams. Define project scopes, timelines, deliverables, and change management strategies, ensuring seamless integration of AI technologies into existing systems and processes.

- Stay Abreast of AI Developments: Continuously research and evaluate emerging AI technologies, frameworks, and methodologies. Remain updated on industry trends and advancements to offer current recommendations.

- Prioritization and Business Case Formulation: Assess Enterprise AI initiatives systematically for business impact, scalability, and alignment with organizational objectives. Prioritize initiatives for optimized resource allocation while crafting robust business cases, including returns, cost-benefit analysis, and key performance indicators.

- Build vs. Buy Approach: Evaluate the most suitable approach for Enterprise AI and Gen AI initiatives, weighing in-house development against partnerships based on factors like complexity, time-to-market, cost, and sustainability. Optimize execution to align seamlessly with organizational goals, emphasizing efficiency and innovation.