Head of Corporate Functions Engineering – VP

Head of Corporate Functions Engineering – VP
Who We Are Looking For
We are seeking a highly accomplished and hands-on technology leader to serve as the Head of Corporate Functions Engineering – VP, responsible for building and leading a world-class engineering organization supporting Human Resources, Legal, Internal Audit, Global Security, Realty, and other Corporate Functions.
This leader will establish and scale a centralized engineering capability that serves as the technical backbone for Corporate Functions Technology. The organization will provide deep expertise across software engineering, AI engineering, data engineering, quality engineering, DevOps, platform enablement, and production support while partnering closely with business-aligned technology teams to accelerate delivery, improve quality, and drive innovation.
The ideal candidate is a technical leader who combines strong software development expertise with exceptional leadership, communication, organizational development, and execution skills. This individual must be equally comfortable reviewing architecture, coaching engineers, solving complex technical challenges, engaging with senior business stakeholders, and building high-performing global teams.
This role will play a critical leadership position in modernizing engineering practices, accelerating AI adoption, increasing delivery capacity, improving operational resilience, and establishing technical centers of excellence across the Corporate Functions portfolio.
Why This Role Matters
Corporate Functions Technology supports critical business capabilities across HR, Legal, Audit, Security, and Realty. As demand for digital transformation, AI-enabled capabilities, data-driven decision making, and custom application development continues to grow, we need a strong engineering organization capable of delivering at scale.
The Head of Corporate Functions Engineering will create and lead the engineering foundation that enables our technology teams to execute faster, deliver higher quality solutions, and respond rapidly to emerging business priorities.
This role will:
Build and scale a centralized engineering organization supporting all Corporate Functions.
Establish technical Centers of Excellence for Engineering, AI, Data, Quality Assurance, and Production Support.
Create specialized technical "SWAT Teams" capable of accelerating strategic initiatives and resolving complex technical challenges.
Improve software quality, engineering productivity, operational stability, and technology delivery consistency.
Drive adoption of modern engineering, automation, cloud, and AI capabilities.
Recruit, develop, and retain top engineering talent globally.
This is a unique opportunity to shape the future engineering model for Corporate Functions Technology.
What You Will Be Responsible For
1. Engineering Strategy & Leadership
Define the vision, strategy, and operating model for Corporate Functions Engineering.
Build scalable engineering capabilities that support multiple technology portfolios and business functions.
Drive adoption of modern software engineering principles, tools, and delivery practices.
Partner with technology leaders to improve execution, engineering maturity, and delivery outcomes.
Establish measurable objectives focused on quality, productivity, innovation, resiliency, and operational excellence.
2. Software Engineering & Application Development
Lead engineering teams responsible for custom application development across Corporate Functions.
Establish enterprise development standards, reusable frameworks, development patterns, and engineering best practices.
Promote modern engineering capabilities including:
Cloud-native development
API-first design
Microservices architecture
Event-driven platforms
Secure software development
DevSecOps practices
Engineering automation
Serve as a senior technical leader for complex architecture and engineering decisions.
3. AI Engineering & Intelligent Automation
Build enterprise AI engineering capabilities that enable business transformation across Corporate Functions.
Establish development teams focused on:
AI-powered applications
Agentic AI solutions
Intelligent automation
Workflow orchestration
LLM-based applications
Enterprise AI platform adoption
Partner with architecture and business teams to convert AI concepts into scalable production solutions.
Develop engineering standards for AI development, deployment, monitoring, governance, and operational support.
Accelerate responsible adoption of AI technologies across the organization.
4. Data Engineering & Platform Enablement
Lead shared data engineering capabilities supporting analytics, reporting, AI, and operational platforms.
Establish standards for:
Data engineering
Data integration
Data pipelines
Data quality
Data governance
Platform engineering
Support modernization toward cloud-native data platforms and scalable analytics capabilities.
Enable business teams to leverage trusted and governed data assets.
5. Quality Engineering & Test Automation
Build and lead a Quality Engineering organization focused on delivering quality at scale.
Drive adoption of:
Test automation
Continuous testing
Regression testing
Performance testing
Security testing
Release quality controls
Establish engineering quality metrics, standards, and governance processes.
Improve production quality, deployment confidence, and customer experience.
6. Production Support & Operational Excellence
Lead production support functions across the Corporate Functions technology portfolio.
Establish standards for:
Monitoring
Observability
Incident management
Root cause analysis
Problem management
Platform resiliency
Operational readiness
Build a highly effective support organization capable of supporting mission-critical business applications.
Drive improvements in uptime, service quality, support efficiency, and production stability.
7. Technical Enablement & Engineering SWAT Teams
Establish specialized engineering teams that can rapidly engage across strategic initiatives and critical technical challenges.
Build expert capabilities supporting:
Custom application development
AI implementation
Data engineering
Cloud engineering
Platform modernization
Performance optimization
Technical debt reduction
Production issue resolution
Provide expert technical resources that can accelerate delivery and solve the organization's most complex problems.
Act as the escalation point for significant technology and engineering challenges.
8. Talent Development & Organizational Leadership
Recruit, develop, and retain top engineering talent across multiple technical disciplines.
Build strong career paths across Engineering, AI, Data, Quality Engineering, and Production Support functions.
Develop future engineering leaders and technical experts.
Foster a culture of accountability, innovation, collaboration, continuous learning, and engineering excellence.
Establish technical communities of practice and skills development programs.
Must-Have Qualifications
15+ years of experience in software engineering, application development, technology delivery, or platform engineering.
8+ years of leadership experience managing large technical teams and complex engineering organizations.
Hands-on experience building and delivering enterprise-scale applications and technology platforms.
Proven experience leading organizations responsible for development, engineering enablement, testing, and production support.
Strong technical knowledge of:
Software engineering
Cloud platforms (AWS preferred)
AI and automation technologies
Data engineering
Platform engineering
DevOps and CI/CD
Quality engineering
Production operations
Experience building and scaling high-performing engineering organizations.
Demonstrated success recruiting, developing, and retaining engineering talent.
Strong communication, executive presence, and stakeholder management skills.
Ability to balance strategic leadership with hands-on technical engagement.
Preferred Qualifications
Experience leading enterprise engineering organizations within financial services or other regulated industries.
Experience building AI engineering and intelligent automation capabilities.
Experience supporting enterprise platforms across HR, Legal, Audit, Risk, Security, or Corporate Functions domains.
Experience establishing Engineering Centers of Excellence and shared service delivery models.
Familiarity with cloud-native architectures, modern engineering platforms, and enterprise AI technologies.
Experience supporting global engineering teams and distributed delivery