Senior Manager, Digital Engineering

Arrow Electronics•Denver, CO

21d•$143,100 - $215,380•Hybrid

About The Position

This role is for a Senior Manager, Digital Engineering who will lead a global engineering organization of approximately 80 people, including four domain managers. The position involves owning engineering quality, the technical roadmap, and non-functional standards across various platforms such as Adobe AEM, SAP Commerce, Oracle, data services, APIs, and integrations. The goal is to create a unified engineering operating model that promotes quick, sound decision-making and delivers with quality, predictability, and velocity. The role emphasizes driving engineering excellence through code quality, automated testing, CI/CD, secure development, performance engineering, and technical-debt reduction. Collaboration with Architecture, Systems Engineering, Agile Delivery Operations, Software Quality Assurance, and Support & Observability is key for managing dependencies and end-to-end outcomes. The manager will ensure engineering teams are responsible for the operational quality of their deliverables, including availability, performance, resilience, and corrective actions. Establishing engineering and delivery measures to identify constraints and drive improvements in throughput, quality, and platform health is also a core responsibility. Coordination with Infrastructure, Networking, and Information Security on environments, platform services, security, and compliance is required. The role also includes owning engineering vendor relationships, improving partner performance, rationalizing the vendor landscape, and strengthening internal capabilities. A significant aspect of the role is driving the practical adoption of AI across the software development lifecycle to enhance engineering velocity, quality, documentation, and innovation. Clear communication of technical trade-offs, risks, priorities, and investment needs to technology and business leaders is essential.

Requirements

10+ years of experience in digital engineering, e-commerce platforms, web applications, or customer-facing software products.
7+ years of people leadership experience, including experience managing managers or leading multiple engineering teams.
Experience leading a globally distributed organization with a mix of employees, contractors, matrixed contributors, and external delivery partners.
Demonstrated engineering depth in at least one relevant domain: digital experience platforms, commerce, enterprise backend systems, data, APIs, or integration.
Experience owning engineering quality, technical roadmaps, non-functional requirements, and production outcomes for customer-facing platforms.
A record of leading meaningful organizational or operating-model change while maintaining delivery continuity.
Experience working in agile delivery environments with product owners, delivery leaders, architects, and quality engineering teams.
Working knowledge of cloud services, microservices, API-led integration, CI/CD, automated testing, secure software development, and observability.
Experience managing external partners, vendor performance, workforce capacity, and technical delivery risk.
Understanding of security and data-protection practices, including PCI considerations for payment processing.
Strong executive communication, judgment, and the ability to translate technical trade-offs into business impact.

Nice To Haves

Experience leading an engineering organization of comparable scale and complexity.
Depth across two or more platform areas: digital experience, commerce, enterprise backend, data, APIs, and integrations.
Experience with Adobe AEM, SAP Commerce, Oracle, or comparable enterprise platforms.
B2B commerce or distribution experience, including complex pricing, quoting, account structures, or customer onboarding.
Experience modernizing a digital footprint while maintaining high availability and active delivery commitments.
A record of establishing common architecture and engineering standards across previously separate technology domains.
Demonstrated improvement in delivery predictability, automated testing, platform performance, change quality, or recovery time.
Experience introducing AI-assisted software development, testing, documentation, or operations with appropriate governance.
Experience consolidating vendors, transitioning services, and transferring critical knowledge to internal teams.
Experience building internal engineering capability in global delivery centers.
Experience with product-oriented, stream-aligned, or customer-journey-aligned engineering teams.
Bachelor’s or advanced degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

Responsibilities

Lead four domain managers and an approximately 80-person global engineering organization, establishing clear accountability, decision rights, and effective ways of working across regions and time zones.
Own engineering quality, the technical roadmap, and non-functional standards across Adobe AEM, SAP Commerce, Oracle, data services, APIs, and integrations.
Create a unified engineering operating model that enables teams to make sound decisions quickly and deliver with quality, predictability, and velocity.
Drive engineering excellence through code quality, automated testing, CI/CD, secure development, performance engineering, and disciplined technical-debt reduction.
Partner with Architecture, Systems Engineering, Agile Delivery Operations, Software Quality Assurance, and Support & Observability to manage dependencies and end-to-end outcomes.
Ensure engineering teams own the operational quality of what they build, including availability, performance, resilience, and corrective actions following production issues.
Establish engineering and delivery measures that identify constraints and drive measurable improvements in throughput, quality, and platform health.
Coordinate with Infrastructure, Networking, and Information Security on environments, platform services, security, and compliance requirements.
Own engineering vendor relationships, improve partner performance, rationalize the vendor landscape, and strengthen critical internal capability and knowledge.
Drive practical adoption of AI across the software development lifecycle to improve engineering velocity, quality, documentation, and innovation.
Communicate technical trade-offs, risks, priorities, and investment needs clearly to technology and business leaders.