Director - Technology Innovation and Engineering

Strayer Education, Inc.

23h•Onsite

About The Position

The purpose of this role is to lead the technology strategy of a new product by designing and scaling secure, production-grade SaaS platforms within regulated and compliance-driven environments. The role is responsible for leveraging modern AI capabilities to drive innovation in a responsible and practical way. It focuses on building and optimizing systems that combine workflow orchestration, cloud infrastructure, and applied AI to improve efficiency, decision-making, and overall product value. This role also ensures that emerging technologies are integrated safely and effectively into production systems. It requires balancing the acceleration that AI can provide with the appropriate constraints needed to maintain compliance, reliability, and trust.

Requirements

Demonstrates hands-on technical capability with a strong willingness to build and contribute directly to systems and solutions.
Applies systems thinking to design, integrate, and optimize complex technical architectures and workflows.
Possesses a solid understanding of regulatory and compliance-driven environments and how they impact technology design and delivery.
Effectively leverages AI technologies to enhance productivity, scalability, and innovation.
Provides technical leadership by leading from the front, setting direction through active involvement and example.
10+ years of engineering experience
6+ years of experience with leading engineering teams (Hands-on experience in the field while leading)
Experience with compliance structures
Experience with AI/Machine Learning
Experience with regulated industries like healthcare, government, finance, or higher education
System Architecture and Data Model Experience
Bachelor’s degree from an accredited institution in computer science or related field required

Nice To Haves

Experience with leading/working in a start-up environment
advanced degree preferred

Responsibilities

Design and build the core permit object model, policy-pack engine, workflow state machines, and multi-tenant infrastructure with audit trails, compliance logging, and explainability as first-class system properties.
Meaningfully leverage AI development tools (copilots, test generation, documentation, refactoring) to establish AI-augmented workflows and maximize engineering throughput.
Design AI-assisted compliance validation workflows that are strictly assistive, never authoritative, and always bounded by policy constraints and regulatory requirements.
Build SOC-aligned infrastructure with robust logging, monitoring, secure data handling and clean APIs for future integration with SIS, LMS, HR, and EMR systems.
Translate partner needs and operational challenges into a disciplined product roadmap that balances engineering, domain expertise, and regulatory requirements.
Lead from the front with hands-on systems thinking and supporting recruiting and retaining high-performing talent.