Chief Technology Venture Officer (CTVO)

Job Overview

We are seeking a visionary and results-driven Chief Technology Venture Officer (CTVO) to lead our technical organization, drive our product and digital roadmaps, and align our engineering, technology, and data strategies with overarching business goals in a hybrid technology incubation and venture holding environment. As a key member of the executive team, you will shape our technical vision, scale enterprise infrastructure, drive AI adoption, and lead an integrated hybrid cloud and local operational model. In this role, you will strategically integrate localized, high-performance AI compute infrastructure with physical trade subsidiaries-commencing with facility maintenance and M&E services for consumers and businesses (B2C/B2B) -ensuring data privacy under PDPA, optimizing field workflows, and building high-value venture operations based on these core principles.

Key Responsibilities

Strategic Leadership & Corporate Strategy: Define and execute the long-term technology strategy, aligning systems, platform architecture, and product development with business objectives. Lead corporate strategy initiatives, pre and post-merger integrations (M&A), cross-cultural harmonization (including consensus-building), and regional business expansion (e.g., JS-SEZ planning). Identify talents across broad industries of opportunities that can relate to the implementation of agentic workflows for venture growth.

Engineering Management & Digital Transformation: Mentor, scale, and lead a high-performing engineering and digital transformation team, dismantling legacy silos, setting clear KPIs, and fostering technical excellence. Oversee automated workflows, BIM/PyRevit integration, and other traditional operational models for Administration, Human Resource with Data Management, Accounts and Finance for holding company and its ventures downstream, or for direct clients for agentic solutions.

System Architecture, AI & Infrastructure Leadership: Strategic oversight of software architecture, cloud/on-premise hybrid scalability, system performance, and infrastructure reliability. Direct the end-to-end deployment of custom Python-based LLMs/AI agents, managing hybrid cloud and local compute hardware strategies and hands-on setup. Design, implement, and secure high-speed network topologies for local cluster computing and general enterprise networking.

Data Protection & Compliance: Lead the implementation of pragmatic data governance frameworks and privacy-by-design principles tailored for Singapore-based SMEs, ensuring strict compliance with local regulations (PDPA) alongside global standards. Oversee cloud security best practices, implementing robust safeguards to manage security and access risks across hybrid local and cloud-based infrastructure.

Cybersecurity & Risk Management: Establish enterprise security protocols, encryption standards, access control policies, and data breach response procedures.

Budget & Operations: Manage technology budgets, vendor relationships, licensing, and resource allocation to optimize ROI.

Client Engagement & Enterprise Sales Support: Serve as a key technical leader in high-stakes customer meetings, supporting enterprise sales cycles by explaining complex technical architectures, data security measures, and product roadmaps to potential clients.

Venture Development & Incubation: Lead the incubation of operating subsidiaries, identifying niche opportunities for digital service expansion, and overseeing the deployment of the digital and AI solutions across subsidiaries. Manage the strategic roadmap for venture growth and cross-subsidiary shared-service optimization. Multiple disciplinary traditional responsibilities in areas M&E, Accounts, HR and administrative are added advantages.

Qualifications, Experience & Skills

Experience: 10+ years of progressive technology and engineering leadership experience in M&E / built environment sectors, with proven executive experience in strategic corporate management, operations, ventures and business transformation. Proven experience in venture incubation, startup operations, and navigating the complexities of holding company structures with operational subsidiaries.

Technical & AI Mastery: Deep expertise in modern software architecture, BIM/DfMA automation, cloud and local compute hardware strategy for AI/LLM deployment, Python-based agentic workflows including pyRevit and other engineering related python based automation, and data protection technical safeguards.

Governance & Operations: Proven track record in corporate governance, internal audits for compliance, Bizsafe level 3 with ISO/WSH safety standards, TAFEP compliance, and navigating merger and post merger integration and crisis management. Proven track record of workforce transformation to adapt with change management.

Leadership & Communication: Strong executive presence with the ability to articulate technical and data risk considerations to board members, investors, and regulatory bodies.

Certifications (Preferred): Professional security/privacy credentials such as CISSP, CISM, or CIPP are a plus.

Traditional qualifications preferred: SDCP, Bizsafe Level 3/2, Bachelor degree or equivalent in Computer Science, relevant certifications in Engineering / Built environment.

Interested parties can proceed to apply in MCF system or email to [Confidential Information]