Vice President, Technology

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Vice President, Technology based in the United States. 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. Accountabilities Define technology strategy: Partner with the CEO and executive leadership team to establish technology priorities, develop a long-term roadmap, and align investments with business objectives, growth plans, and operational needs. Drive strategic execution: Translate complex business challenges into actionable technical plans, establish measurable performance indicators, and improve visibility into engineering productivity, delivery quality, reliability, and business impact. Lead architecture and modernization: Evaluate existing systems, identify technical limitations, and guide the modernization of cloud infrastructure, applications, data platforms, and enterprise integrations. Make critical architectural decisions: Establish technical direction while balancing scalability, reliability, security, performance, cost, delivery speed, and long-term maintainability. Build high-performing teams: Lead and develop engineering, data, and technical leadership teams across a geographically distributed organization, strengthening accountability, collaboration, and technical excellence. Improve engineering effectiveness: Establish clear delivery standards, development practices, prioritization frameworks, and resource allocation processes to improve quality, productivity, and execution predictability. Develop technical leadership: Evaluate organizational capabilities, strengthen leadership effectiveness, address performance challenges, and empower technical leaders to make sound decisions and operate independently. Advance practical AI adoption: Identify and implement AI and automation opportunities across business workflows, customer experiences, decision-making, and engineering processes, measuring their impact on productivity and operating performance. Establish responsible AI practices: Guide the integration of AI-enabled capabilities into production environments while maintaining appropriate standards for security, quality, reliability, governance, and human oversight. Strengthen security and operational resilience: Oversee technology risk management, data protection, system availability, disaster recovery, business continuity, observability, and the management of technical debt. Build cross-functional partnerships: Work closely with Product, Operations, Risk, Data, Finance, and other executive stakeholders to align technology decisions with business needs and commercial realities. Maximize business value: Evaluate competing priorities and technology investments, make evidence-based recommendations, challenge assumptions constructively, and ensure initiatives deliver measurable results. Requirements 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. Benefits Remote work: Fully remote position available within the United States. Executive influence: Direct reporting relationship to the CEO and meaningful involvement in technology strategy, organizational development, and investment decisions. Strategic ownership: The opportunity to shape technology modernization, architecture, engineering performance, and AI adoption across the business. Leadership opportunity: Significant responsibility for building and developing a high-performing engineering and data organization. Business impact: The ability to connect technical innovation and investment to measurable improvements in growth, efficiency, customer experience, and operational resilience. Travel: Approximately 10% travel is expected. Compensation and benefits: Specific salary, equity, healthcare, retirement, and other benefit details were not provided in the available job description and should be confirmed with the hiring team. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.