Director of Engineering - Employee Experience

Key Responsibilities

• Lead distributed engineering teams in delivering scalable, high-quality solutions with strong operational performance and predictable execution.
• Translate business, product, and partner priorities into clear engineering plans, balancing near-term commitments with longer-term product, platform, and organizational goals.
• Guide the technical direction for employee-facing products and shared platforms, ensuring solutions are modern, secure, scalable, and aligned to business needs.
• Drive AI-enabled experiences that reduce employee friction, improve employee productivity, and increase employee efficiency through smarter support tools and workflows.
• Drive the adoption of Agentic AI capabilities to enable intelligent automation, proactive workflows, and personalized employee support experiences.
• Deliver differentiated user experiences through modern technology solutions, including capabilities tailored for Execs and shared platform investments that support multiple EA franchises.
• Build strong partnerships with business-facing, cross-functional, and partner teams to align engineering work with strategic objectives and measurable outcomes.
• Establish effective operating models across teams with clear ownership, strong communication, sound decision-making, and accountability.
• Improve engineering effectiveness through better processes, tooling, modern development practices, and practical adoption of AI across the software development lifecycle.
• Lead and develop managers and engineers while fostering an inclusive, high-performing culture grounded in collaboration, accountability, and continuous improvement.
• Use metrics, operational insights, and business context to improve delivery performance, system reliability, team health, and overall impact.

Required Qualifications

• 15+ years of progressive software engineering experience, including leadership roles with responsibility for growing and scaling engineering teams and organizations.
• Proven track record of leading large, cross-functional teams to deliver complex products, platforms, and business-critical technology initiatives.
• Experience collaborating with external partners and leading teams in distributed development models.
• Deep experience architecting, developing, and operating large-scale production systems using modern technologies, supporting consumer applications and services.
• Practical experience with Generative AI and Agentic AI systems, including applying AI to improve employee workflows, automation, or productivity.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent combination of education and experience.