Head of Engineering

We are looking for a Senior Technology Leader to take full ownership of engineering and data functions at a fast-growing, mission-driven digital platform. This is an executive-level role, sitting within the leadership team and shaping the company's technology trajectory from the ground up. You will build on established systems and teams, scaling what works, introducing stronger operating rigor, and ensuring the platform grows sustainably in line with the company's ambitions around reliability, performance, and regulatory compliance. The platform serves users in Southeast Asia and operates in a regulated, data-sensitive environment. Experience in health, insurance, fintech, or any domain that demands high standards of data protection and compliance will be an advantage.


As Director of Technology, you will be accountable for the following:


Product and Platform:

  • Build and continuously improve products serving both external users and internal teams, ensuring strong user experience, scalability, and measurable business impact.
  • Set clear technology direction and align engineering and data roadmaps with company strategy and business priorities.


Architecture and Infrastructure:

  • Oversee system architecture and cloud infrastructure, ensuring reliability, scalability, performance, and cost efficiency as the company grows.
  • Guide key technology decisions across platform architecture, cloud providers, and engineering practices with sufficient hands-on depth to earn engineering team trust.


Data and Decision Enablement:

  • Leverage data to inform product strategy, operational improvements, and executive decision-making.
  • Strengthen analytics capabilities to create visibility across business and operational metrics.


Security, Compliance, and Reliability:

  • Ensure strong security, privacy, and compliance practices, especially in environments handling sensitive personal and health-related data.
  • Implement data protection, access governance, and audit frameworks aligned with applicable regulatory requirements.


Team Leadership and Organizational Development:

  • Develop and scale high-performing teams across engineering and data functions.
  • Hire, coach, and support senior managers and technical leads to build a strong leadership layer beneath you.
  • Establish clear operating rhythms, performance frameworks, and technical standards.


Cross-Functional Collaboration:

  • Drive alignment between technology, operations, finance, and business teams.
  • Translate complex technical topics into clear strategic decisions for leadership stakeholders.
  • Oversee internal tooling, IT systems, and infrastructure so every team can operate efficiently and reliably.


AI Automation:

  • Lead initiatives to improve developer workflows by identifying opportunities to apply AI tools, automation, and intelligent systems that increase engineering productivity, reduce manual effort, and improve delivery quality.


Requirements:

  • Demonstrated experience leading engineering and/or data teams through senior managers or technical leads, not just individual contributors.
  • Proven ability to operate at both strategic and execution levels, translating business goals into platform and technology outcomes.
  • Strong product judgment combined with sufficient technical depth to guide architecture and platform decisions.
  • Hands-on familiarity with scalable, cloud-native systems and modern data platforms.
  • Experience working in regulated or data-sensitive environments (health, insurance, fintech, or similar) is a strong plus.
  • Excellent communication and stakeholder leadership skills, with the ability to drive clarity in ambiguous, fast-moving situations.
  • A strong ownership mindset and the confidence to make high-impact decisions with incomplete information.
  • Comfort with periodic travel within Southeast Asia, particularly the Philippines, for on-site collaboration with the client team (approximately once a month).


Nice to Have:

  • Exposure to healthcare or insurance platforms, including familiarity with relevant data privacy and compliance frameworks (HIPAA, PhilHealth, or equivalent regional standards).
  • Experience integrating AI or machine learning capabilities into user-facing or operational workflows.
  • Prior experience operating as a fractional or embedded leader across multiple organizations.
  • Background in building or scaling platforms in Southeast Asian markets.
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