Develop and implement comprehensive delivery assurance strategies for professional services in AI and data, laying the foundation for the successful and timely completion of projects.
Monitor and assess project lifecycles, identifying potential bottlenecks and implementing effective mitigation strategies to ensure client satisfaction.
Reference Architecture:
Establish and maintain a standardized reference architecture framework, providing guidance for project implementations and ensuring consistency in deliverables.
Collaborate with cross-functional teams to ensure the application of reference architecture standards in client engagements, optimizing the quality and efficiency of service delivery.
Technical Strategy:
Formulate a client-centric technical strategy for RPS and Field, aligning technological initiatives with client requirements and industry best practices.
Generate repeatable IP’s :
Develop and maintain repeatable and reusable packages for HPC and AI solutions, fostering operational efficiency and accelerated project delivery.
Emerging Technology:
Stay informed about the latest developments in AI and data technologies, evaluate their relevance and potential impact on client services, and recommend their incorporation into service offerings.
Assess and implement emerging technologies to enhance the quality and effectiveness of AI and data services for clients.
Coaching:
Provide professional guidance and coaching to team members in delivering AI and data professional services, fostering skill development, and promoting excellence in client engagement.
Offer tailored coaching to ensure the team's understanding of client requirements and effective communication of technical solutions.
Risk Assessment and Mitigation for Large Deal Management:
Identify and mitigate technical risks associated with large deal management and delivery, ensuring the successful execution of complex AI and data projects in both remote and field environments.
Collaborate with cross-functional teams to develop comprehensive risk management strategies and contingency plans for large-scale project delivery
Identify and manage technical dependencies within client projects, ensuring effective coordination and communication among team members and clients.
Implement strategies to mitigate risks associated with technical dependencies, ensuring seamless integration and delivery of AI and data professional services
Quality Assurance and Optimization for Large Deal Delivery:
Establish comprehensive quality assurance protocols for AI and data service delivery in l projects, focusing on maintaining technical excellence and performance standards.
Implement technical optimizations and improvements to enhance service quality and ensure the successful delivery of projects in diverse operational environments.