Vice President, Technology

This is an executive leadership opportunity for a technology leader who combines strategic vision with deep technical expertise and a strong record of execution. Reporting directly to the CEO, you will shape the technology strategy, modernize critical platforms, and build the engineering and data capabilities needed to support sustainable business growth. You will guide architectural decisions across cloud infrastructure, applications, and data platforms while strengthening security, reliability, and operational performance. The role also offers the opportunity to introduce practical AI-driven solutions that improve productivity, decision-making, and business outcomes. You will lead a geographically distributed organization, develop high-performing technical leaders, and connect technology investments to measurable commercial value. With direct access to executive leadership and significant influence over strategic priorities, you will help build a scalable, resilient, and forward-looking technology organization.

• Extensive leadership experience: 15+ years of progressive experience in technology, engineering, architecture, or related leadership roles, including substantial responsibility for technology strategy and organizational performance.

• Engineering and data leadership: Demonstrated success leading engineering and data teams responsible for business-critical applications, platforms, and products.

• Strong technical depth: Direct leadership experience with production cloud environments, modern data platforms, and complex application architectures, with the ability to independently assess designs and make informed technical tradeoffs.

• Technology transformation expertise: A proven track record of delivering platform modernization, legacy-system transformation, or significant architectural improvements with measurable business impact.

• Cloud and data platform knowledge: Experience with Microsoft Azure and Databricks, or comparable production environments using AWS, Google Cloud, Snowflake, or other modern cloud and data technologies.

• Architecture and systems expertise: Familiarity with cloud-native applications, distributed systems, APIs, enterprise integrations, data engineering, analytics platforms, data pipelines, and data governance.

• Organizational leadership: Experience building and developing high-performing technical organizations, coaching leaders, evaluating talent, establishing accountability, and addressing performance issues directly.

• Business-oriented decision-making: The ability to connect technology investments to outcomes such as revenue growth, operating efficiency, customer experience, risk reduction, and scalability.

• Operational excellence: Experience establishing technology roadmaps, engineering KPIs, delivery standards, CI/CD practices, DevOps capabilities, observability, and platform reliability.

• AI and automation experience: Demonstrated experience implementing AI-enabled solutions, machine learning applications, automation, or emerging technologies that deliver practical, measurable improvements.

• Security and risk management: Knowledge of data protection, security controls, compliance, disaster recovery, business continuity, and technology risk management.

• Executive collaboration: Proven ability to work with senior executives and cross-functional stakeholders, translate business priorities into technical decisions, and challenge assumptions when necessary.

• Commercial judgment: The ability to balance technical excellence with budget constraints, resource availability, business priorities, and delivery expectations.

• Adaptability and ownership: A hands-on, results-oriented leadership style, sound judgment under uncertainty, and the confidence to make difficult decisions in a fast-changing environment.

• Education: A bachelor's degree is required; an advanced degree is preferred.

• Additional relevant experience: Familiarity with Salesforce or other enterprise CRM platforms is beneficial. Experience in financial technology, commercial lending, payments, financial services, or other environments where data accuracy, security, and operational continuity are essential is also valuable. Experience leading distributed engineering and data teams is an advantage.

Candidates do not need to have worked in the exact same technology environment or industry. Demonstrated technical judgment, transferable expertise, and the ability to lead complex technology organizations are the primary priorities.