VP, Technology
Department: Technology
Reports to: Chief Product & Technology Officer (CPTO)
Type: Full-time
About the Role
What You’ll Do
Technology Strategy & Architecture
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Own the engineering and technology strategy across application development, platforms, infrastructure, and Data & AI.
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Translate business objectives into a clear and scalable technology roadmap.
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Serve as the senior technical authority across the engineering organization.
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Lead build-vs-buy decisions, architectural reviews, and technical standards for quality, scalability, performance, and security.
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Champion architecture best practices and strengthen architectural capabilities across teams.
Scaling Data & AI
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Define and execute the strategy for scaling Data & AI capabilities.
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Drive investment decisions and talent acquisition in AI and machine learning.
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Provide informed leadership on how AI will transform the organization’s products and services.
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Embed AI thinking and innovation throughout the engineering organization.
People Leadership
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Lead, mentor, and develop engineering teams and technology leaders.
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Foster a culture of trust, accountability, collaboration, and ownership.
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Design and evolve the organizational structure to support growth and scalability.
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Lead technical recruitment efforts and elevate hiring standards across all disciplines.
Execution & Delivery
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Ensure reliable, predictable, and secure software delivery.
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Balance innovation and speed with operational resilience and security requirements.
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Partner closely with the CPTO and executive leadership team to align technology initiatives with business objectives.
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Provide strategic and technical guidance in both engineering and business discussions.
What You Bring
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Architect-grade technical depth and breadth: Proven ability to lead system design and architecture decisions across APIs, web applications, mobile applications, cloud platforms, and infrastructure.
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Hands-on cloud and platform expertise: Experience designing and operating modern cloud-native environments, preferably AWS, with strong knowledge of infrastructure-as-code, CI/CD, and observability practices.
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Strong security focus: Demonstrated ability to establish security-first engineering standards and resilient technology practices.
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Modern web and mobile experience: Deep understanding of building scalable web and mobile applications and the APIs that support them.
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AI leadership and expertise: Ability to define AI strategy, assess AI opportunities, recruit AI talent, and drive practical AI adoption.
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Player-coach leadership style: Passion for leading teams while remaining actively engaged in technical decisions and challenges.
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Proven people leadership: Experience developing engineers and engineering managers into high-performing leaders.
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Technology strategy ownership: Experience defining and executing technology roadmaps aligned with business goals.
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Strong communication and stakeholder management: Ability to engage effectively with executives, business stakeholders, and technical teams.
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Adaptability and entrepreneurial mindset: Comfortable operating in fast-paced, evolving environments with high levels of ownership and accountability.
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Direct experience building or leading Data & AI / Machine Learning initiatives.
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Experience scaling engineering organizations through periods of significant growth.
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Experience supporting multiple products, business lines, or platforms.
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Industry experience within banking, fintech, telecommunications, digital identity, cybersecurity, or fraud prevention is considered an asset.
Vice President, Technology
This is a product and growth-focused executive leadership role, not a traditional corporate IT position. The successful candidate will be responsible for the overall technology strategy, execution, organizational development, and delivery of a rapidly evolving product roadmap.
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Provide executive leadership across all technology functions, including:
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Platform Engineering
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Infrastructure & Security
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Application Engineering
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Java and Python-based Applications & APIs
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Data Engineering
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Data Science & Artificial Intelligence
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Customer-facing Platforms and User Experiences
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Drive technology strategy and execution in alignment with business and product objectives.
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Ensure successful delivery of technology initiatives against an ambitious roadmap.
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Balance executive-level strategic thinking with the ability to engage in detailed technical discussions.
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Guide architectural decisions and help teams navigate complex technical challenges.
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Lead the development and scaling of products leveraging data, AI, digital identity, authentication, and trust technologies.
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Ensure technology investments deliver measurable business and customer value.
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Partner with product and business leaders to bring new capabilities and services to market.
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Support innovation while maintaining engineering quality, scalability, and security.
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Lead, coach, and develop technology leaders and engineering teams.
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Recruit and retain top talent while scaling the organization effectively.
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Foster a collaborative, inclusive, and high-performing culture.
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Strengthen leadership capabilities across the organization and build succession depth.
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Create an environment that promotes accountability, ownership, and continuous improvement.
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Platform Engineering (Infrastructure & Security)
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Application Engineering (Applications & APIs)
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Data & AI (Data Engineering, Data Science, and AI)
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Proven experience leading and scaling engineering organizations.
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Demonstrated success developing high-performing teams and leaders.
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Experience operating in growth-oriented environments.
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Strong people leadership skills with a track record of engagement, development, and retention.
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Demonstrated experience delivering a data or AI-enabled product into production.
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Ability to clearly articulate the business outcomes and customer value generated by technology investments.
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Experience beyond proof-of-concept initiatives, experimentation, or certification-based knowledge.
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Strong technical breadth across engineering, applications, infrastructure, data, and AI domains.
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Ability to provide credible technical leadership and challenge engineering decisions when required.
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Experience leading technology organizations across applications, platforms, infrastructure, security, data, and AI.
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Experience within a product-focused business.
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Experience in high-growth or scaling organizations.
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Background in fraud prevention, digital identity, authentication, trust, payments, banking, or fintech.
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Experience building AI-powered products and the supporting platforms, APIs, and customer-facing solutions required to deliver them.
