Head of Data, Development & AI
Roles & Responsibilities:
1. Strategic Platform Leadership:
• Define a comprehensive vision and roadmap for Data, Development & AI initiatives.
• Provide strategic direction for platform architecture and management across the organization, aligning with business objectives.
• Collaborate with key stakeholders to ensure the integration of Data, Development & AI initiatives into broader organizational strategies.
2. Cloud & Platform Expertise:
• Demonstrate expertise in cloud computing, including IaaS, PaaS, and SaaS solutions.
• Lead platform architecture efforts, ensuring scalability, reliability, and performance.
• Evaluate and recommend appropriate cloud technologies to support organizational goals.
3. API & Integration Management:
• Drive ecosystem development through effective API management and integrations.
• Foster partnerships and collaborations to expand the organization's API ecosystem.
• Ensure seamless integration of internal and external systems to optimize operational efficiency.
4. Platform Security & Performance:
• Establish and enforce robust security measures to safeguard data and assets.
• Monitor and optimize platform performance to ensure scalability and reliability.
• Implement best practices for platform resilience and disaster recovery.
5. Vendor Management & Partnerships:
• Develop and nurture strategic relationships with technology vendors and partners.
• Negotiate contracts and agreements to secure favorable terms and services.
• Collaborate with vendors to stay abreast of emerging technologies and industry trends.
6. Application Development & Management:
• Lead the application development lifecycle, from concept to deployment, ensuring security, scalability, and agility.
• Stay updated on emerging development methodologies and technologies, integrating them into our practices where applicable.
• Foster a culture of continuous improvement and innovation within the development team.
Education/Training Qualifications:
• Bachelor's degree in computer science, Engineering, or related field; Master's degree preferred.
• Proven experience in a leadership role, with a focus on Data, Development & AI initiatives.
• Strong understanding of cloud computing principles and platforms, with relevant certifications preferred.
• Demonstrated expertise in API management, integration architecture, and platform security.
• Excellent vendor management and negotiation skills.
• Proficiency in application development methodologies, tools, and frameworks.
• Exceptional communication, collaboration, and problem-solving abilities
Full-Time
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