About MSM Unify
MSM Unify is a global digital platform that connects students, institutions, recruitment partners, and service providers through a unified international education ecosystem. The platform enables seamless collaboration across multiple stakeholders while supporting institutions and students through advanced digital technology, data-driven insights, and innovative solutions.
With operations spanning Canada, the United States, India, and other global markets, MSM Unify is committed to delivering scalable technology solutions that support academic delivery, student mobility, and international education services.
Role Purpose
The Head Technology will lead the end-to-end technology ecosystem supporting academics, student journeys, and business operations across MSM Unify and associated global entities operating in Canada, the United States, and India.
This role ensures that all digital platforms are stable, secure, scalable, and continuously enhanced in alignment with academic delivery needs, operational priorities, and regulatory requirements.
The position requires a hands-on technology leader with strong technical depth, delivery discipline, and the ability to closely oversee engineering output, platform evolution, and system reliability while collaborating with cross-functional teams.
- Key Responsibilities
- 1. Technology Strategy Governance
- Define and execute a group-wide technology strategy aligned with academic, operational, and regulatory requirements.
- Establish technology standards, architecture principles, and governance frameworks across regions.
- Ensure seamless integration between academic systems and technology platforms, eliminating operational silos.
- Own platform and architecture decisions, including technology roadmaps, prioritization, and sequencing of initiatives.
- 2. Digital Platforms Systems Ownership
- Lead the full lifecycle management of all major digital platforms, including
- Public-facing and internal websites
- Student and partner portals
- Learning management, academic, and enterprise systems
- Ensure platforms are continuously improved, optimized, and enhanced based on business and academic requirements.
- Drive prioritization and execution of functional enhancements, system upgrades, and capability expansion.
- Ensure all platform updates are delivered efficiently, securely, and with minimal operational risk.
- Maintain strong collaboration between technology, academics, operations, and leadership teams.
- 3. Cloud, Architecture Infrastructure
- Define and manage cloud architecture and infrastructure strategy across all technology platforms.
- Ensure systems are designed for high availability, scalability, performance, and cost efficiency.
- Provide architectural guidance and technical direction to engineering teams.
- Review system designs, deployment strategies, and infrastructure configurations.
- Ensure infrastructure meets security, compliance, and audit standards.
- 4. Engineering Delivery DevOps Leadership
- Establish strong engineering delivery governance and development standards across teams.
- Oversee release planning, deployment governance, and environment management.
- Implement and promote automation, CICD pipelines, and modern DevOps practices.
- Monitor delivery timelines and proactively address risks, bottlenecks, and delays.
- Ensure robust rollback mechanisms, incident response procedures, and contingency planning.
- 5. Security, Data Protection Audit Readiness
- Lead cybersecurity, access control, and data protection frameworks across all platforms.
- Ensure readiness for internal audits, external security assessments, and regulatory reviews.
- Maintain documentation for architecture, security policies, access management, and change management processes.
- Represent the technology function during audits, compliance reviews, and regulator interactions.
- Ensure effective business continuity and disaster recovery planning, including regular testing.
- 6. AI, Automation Advanced Technology Enablement
- Enable responsible adoption of AI and intelligent automation across learning platforms and internal systems.
- Collaborate with academic leadership to support AI-assisted learning, assessments, and analytics.
- Apply analytical and technical expertise to evaluate system performance, engineering output, and platform capabilities.
- Ensure advanced technologies align with governance, ethics, and compliance standards.
- 7. Vendor, Cost Build-vs-Buy Management
- Lead vendor evaluation, selection, and ongoing performance management.
- Drive build-vs-buy decisions for technology platforms, tools, and integrations.
- Ensure vendor deliverables meet agreed service levels, security requirements, and contractual obligations.
- Optimize technology spending while maintaining high system reliability and performance.
- 8. Team Leadership Capability Building
- Lead engineering, infrastructure, platform, and support teams across multiple geographies.
- Define team structures, hiring plans, and
- Key Performance Areas KPAs
- Platform reliability, scalability, and performance
- Timely delivery of platform enhancements and upgrades
- Security, data protection, and audit readiness
- Alignment between technology platforms and academic operations
- Engineering delivery efficiency and operational stability
- Vendor performance and cost optimization
- Required Qualifications Experience
- Bachelors or Masters degree in Technology, Engineering, or a related discipline.
- 10-15 years of experience in technology leadership roles with strong hands-on technical depth.
- Proven experience managing complex, multi-platform digital ecosystems.
- Strong expertise in cloud architecture and infrastructure leadership.
- Demonstrated experience leading engineering teams with deep technical oversight.
- Experience working in regulated, compliance-driven, or audit-intensive environments is preferred.
- Skills Technical Competencies
- Strong expertise in cloud platforms and infrastructure management.
- Solid understanding of DevOps practices, CICD pipelines, release management, and automation.
- Working knowledge of AI-enabled systems and data-driven platforms.
- Proficiency in Python or similar programming languages for technical evaluation and analysis.
- Ability to critically assess architecture decisions, engineering quality, and system performance.
- Excellent English communication skills written and verbal for collaboration with leadership, partners, and auditors.
- High discipline in documentation, process management, and risk mitigation.
