Chief Technology Officer

The Chief Technology Officer (CTO) is responsible for defining and leading Aidea's overall technology strategy, digital transformation, and innovation agenda in alignment with the company's business objectives. The role provides strategic leadership in leveraging technology, artificial intelligence (AI), automation, and digital solutions to enhance operational efficiency, improve project delivery, and strengthen the organization's competitive position.

The CTO oversees the development and implementation of technology strategies, systems, infrastructure, and governance frameworks, ensuring that technology investments support business growth, innovation, and long-term organizational sustainability.

KEY RESPONSIBILITIES

1. Technology Strategy and Governance

• Define and lead the company's technology vision, strategy, and roadmap in alignment with organizational goals.
• Establish technology policies, standards, governance frameworks, and best practices.
• Evaluate emerging technologies and recommend strategic investments that support business priorities.
• Oversee technology planning, resource allocation, and investment management.

2. Digital Transformation and Innovation

• Lead enterprise-wide digital transformation initiatives to improve business processes, enhance operational efficiency, and support organizational growth.
• Identify opportunities to leverage artificial intelligence, automation, data analytics, and other emerging technologies.
• Drive the adoption and integration of innovative technology solutions across business functions.
• Foster a culture of continuous improvement, innovation, and technology-enabled collaboration.

3. Technology Operations and Infrastructure

• Oversee the organization's IT infrastructure, enterprise systems, applications, and technology operations.
• Ensure the reliability, scalability, security, and availability of technology platforms and services.
• Lead technology modernization, systems integration, and infrastructure improvement initiatives.
• Establish operational standards and performance measures to ensure effective and efficient technology service delivery.

4. Information Security and Risk Management

• Develop and oversee cybersecurity strategies, information security policies, and data protection practices.
• Ensure compliance with applicable data privacy laws, regulatory requirements, and industry standards.
• Identify, assess, and mitigate technology-related risks, vulnerabilities, and security threats.
• Establish and maintain business continuity, disaster recovery, and incident response plans.

5. Technology Enablement and Business Integration

• Collaborate with business and operational leaders to identify technology requirements, address business needs, and identify opportunities for improvement.
• Lead the integration and optimization of technology solutions supporting architectural design, engineering, Building Information Modeling (BIM), and project delivery.
• Champion the adoption of digital tools, AI-enabled solutions, and automation to improve project productivity, quality, and delivery.
• Ensure technology initiatives deliver measurable business value and contribute to organizational objectives.

6. Leadership and People Development

• Provide strategic leadership and direction to technology teams and department leaders.
• Establish clear performance objectives, accountability measures, and professional development plans.
• Strengthen organizational technology capabilities through talent development, knowledge transfer, and succession planning.
• Foster a collaborative, innovative, and high-performance work environment.

7. Stakeholder and Vendor Management

• Establish and maintain strategic partnerships with technology providers, consultants, and service partners.
• Oversee technology contracts, vendor relationships, performance, and service-level agreements.
• Present technology strategies, initiatives, and performance updates to executive management.
• Ensure alignment between technology investments, business requirements, and organizational priorities.

QUALIFICATIONS

• Bachelor's degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• At least 15 years of relevant experience in technology management, IT leadership, digital transformation, or enterprise technology innovation.
• At least 10 years of experience in senior technology leadership or executive management roles.
• Proven track record of developing and implementing enterprise-wide technology strategies aligned with business objectives.
• Strong knowledge of IT infrastructure, enterprise systems, cybersecurity, cloud computing, data governance, artificial intelligence (AI), machine learning (ML), and systems integration.
• Demonstrated and verifiable experience in developing and leading enterprise-level AI strategies, governance frameworks, adoption programs, and implementations. This includes successfully deploying AI-enabled products, services, or business processes and delivering measurable business outcomes.
• Experience establishing AI governance frameworks, responsible AI practices, data management standards, and cybersecurity controls to support secure and ethical AI adoption.
• Demonstrated experience leading digital transformation, technology innovation, and large-scale technology initiatives.
• Experience managing technology budgets, vendors, and multidisciplinary teams.
• Strong understanding of emerging technologies and trends, including generative AI, automation, advanced analytics, cloud-native architectures, digital platforms, and data-driven decision-making.
• Excellent strategic thinking, leadership, decision-making, stakeholder management, and change management skills.

PREFERRED QUALIFICATIONS

• Master's degree in Information Technology, Computer Science, Business Administration, or a related field.
• Experience in the architecture, engineering, and construction (AEC) or design-related industries.
• Knowledge of BIM technologies, digital design platforms, and project delivery systems.
• Experience applying artificial intelligence, machine learning, data analytics, and business process automation in an organizational setting.
• Experience leading enterprise-wide technology modernization and organizational transformation initiatives.