Director, Engineering - ERP

Ignite Your Future: At QAD, we are building intelligent, adaptive platforms that redefine manufacturing and supply chains.

As Director of Engineering, you will lead a significant portion of the engineering organization responsible for QAD's Adaptive ERP.

You will own multiple ERP platform and foundational capabilities while helping shape the continued evolution, modernization, quality, and operational readiness of a mature enterprise product used by manufacturers globally.

A major part of your mandate will also be accelerating the transition of existing customers to Adaptive.

You will lead foundational ERP capabilities and AI-driven transformation tooling designed to analyze, simplify, and reduce the complexity of customer upgrades and modernization.

This role combines engineering leadership, technical depth, product thinking, and transformation.

You will lead multiple teams and managers, work across internal and partner engineering organizations, and help define how AI can fundamentally change the way complex enterprise software is analyzed, modernized, and transformed.

The Mission: What You'll Be Building Your organization sits at the intersection of QAD's existing ERP estate and its future.

You will lead teams responsible for: ERP Engineering Leadership — Own and evolve a significant portion of QAD's ERP engineering portfolio, with accountability for product quality, architecture, delivery, modernization, and operational readiness.

ERP Foundations & Extensibility — Own and evolve the foundational capabilities upon which ERP functional modules are built, ensuring a scalable foundation for the broader Adaptive Applications organization.

AI-Driven Customer Transformation — Build intelligent tooling that analyzes and streamlines existing customer environments, reduces implementation and upgrade complexity, and accelerates transition to Adaptive.

Customer Streamlining & Modernization — Partner across Engineering, Product, Services, and other QAD organizations to systematically reduce customer complexity while evolving a mature ERP estate toward a more standardized, scalable model.

You will translate strategy into execution, ensuring predictable delivery, strong architecture, and engineering excellence.

Your Impact/ What you will be doing: Engineering Leadership & Delivery: Lead multiple engineering teams through Managers and Senior Managers, ensuring timely, high‑quality delivery of complex SaaS capabilities.

AI-Driven Transformation: Lead the development and evolution of AI capabilities that automate and accelerate the analysis, streamlining, and transformation of existing ERP customer environments.

Customer Transformation: Work across Engineering, Product, Services, and other stakeholders to understand the complexity of existing customer environments and turn those challenges into scalable product capabilities.

People & Talent Development: Build, coach, and develop Engineering Managers and senior engineers; create strong succession and growth paths.

Agile Execution: Drive Agile and product‑centric delivery models, balancing speed, quality, and sustainability.

Cross‑Functional Partnership: Partner with Product, Architecture, Security, and DevOps to align roadmaps, priorities, and outcomes.

Operational Ownership: Own product quality, release readiness, reliability, engineering health, and delivery outcomes across the ERP areas you lead, establishing clear measures and driving continuous improvement.

Partner & Vendor Leadership: Lead effectively across a hybrid model of internal and partner engineering teams, establishing clear technical direction, accountability, ownership, and quality expectations

Required Skills & Qualifications Experience & Leadership 10–12+ years of engineering leadership experience at an established ERP company (e.g.

SAP, Oracle, Infor, Epicor, IFS, Microsoft Dynamics, or similar).

Experience owning substantial parts of an ERP product or platform, not primarily implementing or integrating someone else's ERP.

Director-level organizational scope: leading multiple teams and managers rather than functioning primarily as a hands-on architect or engineering manager.

Experience working across Engineering, Product, Architecture, Services, and other stakeholders to translate complex customer or business problems into scalable software capabilities.

Core Technical Foundations & Team Delivery Model: ERP Product Engineering: Experience with mature enterprise products: large legacy codebases, long-lived customers, customization/extensions, upgrades, backward compatibility, and modernization.

AI & Software Engineering: Strong AI experience remains important.

In particular, look for leaders who have applied AI to software development, modernization, or engineering transformation.

Enterprise Software Architecture: Strong understanding of software architecture, system design, APIs, integrations, data, and distributed systems, with the ability to guide technical direction across a large and evolving enterprise product.

Enterprise Product Evolution: Evidence of leading significant product or engineering transformation while continuing to serve an existing enterprise customer base.

Cloud & Modern Engineering: Strong understanding of cloud architectures, preferably AWS, modern development practices, CI/CD, automated testing, observability, security, and modern SDLC practices.

Technical Judgment: Ability to evaluate architectural alternatives and make pragmatic decisions that balance long-term technical direction with customer needs, delivery constraints, cost, risk, and business value.

Partner Delivery Governance: Proven ability to establish technical direction, quality standards, engineering discipline, and accountability across blended internal and third-party engineering organizations.

The Mindset: Transformation-Oriented: Sees complexity as something to systematically eliminate rather than permanently accommodate.

AI-Minded: Has a substantive point of view on how AI is changing softw