Chief Technology Officer

Background in : Technology Services , product & startup .

Overview 

Technology Strategy and Leadership

• Define and lead the 3-year technology roadmap aligned to business growth objectives.
• Drive technology innovation across Data, AI, and Analytics capabilities to position the organization as a digital transformation leader.
• Establish best-in-class engineering, architecture, and DevOps practices to accelerate SDLC efficiency and product quality.
• Oversee platform modernizations, cloud strategy, and enterprise data architecture.
• Guide product and service development with a focus on scalability, security, and customer outcomes.

Data, Analytics, and AI Excellence

• Develop the company’s data and AI strategy, leading the creation of advanced analytics solutions and AI-driven products.
• Collaborate with business and consulting teams to embed data intelligence into client solutions and enterprise decision-making.
• Champion ethical AI, governance, and data quality frameworks.

Execution and Operations

• Oversee engineering, product management, and architecture teams to drive efficient delivery through agile methodologies.
• Optimize the technology operating model including budgeting, resource allocation, and vendor ecosystem management.
• Define and manage technology KPIs and ensure consistent delivery against timelines and quality standards.

Cross-functional Leadership

• Partner with business, consulting, and sales leaders to identify new growth opportunities and client-facing innovations.
• Cultivate a culture of continuous learning, experimentation, and cross-disciplinary collaboration.
• Represent the company’s technology vision with investors, clients, and strategic partners.

Desired Experience and Qualifications

• 15+ years of progressive leadership experience in technology, including 5+ years in a senior executive role (CTO, VP Engineering, Head of Technology).
• Proven record of building and scaling technology platforms or products from concept to commercial success.
• Significant experience in data engineering, analytics platforms, and AI/ML solution development.
• Background spanning both product and services organizations, ideally with exposure to startups or innovation labs.
• Strong knowledge of modern architectures (cloud-native, API-first, microservices, data mesh).
• Demonstrated ability to align technology outcomes with business goals and client value.
• Advanced degree in Computer Science, Engineering, or related field preferred; MBA is a plus.