Director of Software Engineering

The Director of Software Engineering is responsible for end-to-end digital delivery and reliability, overseeing software engineering, Dev Ops and platform operations, quality engineering, user experience design, and business analysis. This role ensures that business intent is translated into high-quality, user-centered digital solutions that are designed, built, tested, released, and operated with strong reliability, security, and performance.

A core expectation of this role is to increase automation and efficiency across the delivery lifecycle, including the responsible use of generative AI and intelligent automation to augment business analysis, design, development, testing, and operational practices. The Director balances customer experience, delivery speed, technical sustainability, and operational stability while enabling teams to focus on higher-value, human-centered work.

This role is hybrid. We are in the office every other week, Tuesdays – Thursdays. During December, June – August we are in the office one week a month for three consecutive days (Tuesday – Thursday).

• Translate business and digital strategy into clear delivery priorities, roadmaps, and execution plans.
• Ensure alignment between business intent, user experience, technical execution, quality, and operational outcomes.
• Partner with Product, Digital, Marketing, and business leaders to prioritize initiatives and manage trade-offs.
• Serve as the escalation point for cross-functional delivery, automation, and operational risks.
• Own delivery outcomes for customer-facing digital platforms.

• Lead engineering teams to deliver scalable, secure, and maintainable software solutions.
• Establish and enforce engineering standards, architectural guardrails, and modern development practices.
• Promote automation-first development practices to reduce manual effort and rework.
• Leverage generative AI–assisted tools to improve developer productivity, code quality, documentation, and refactoring—within defined security and quality guardrails.
• Ensure strong collaboration between engineering, UX, QA, BA, and Dev Ops to accelerate delivery.

• Own accountability for CI/CD pipelines, deployment automation, environments, and release practices.
• Ensure platforms meet standards for reliability, availability, performance, scalability, and security.
• Promote shared ownership of production outcomes across delivery teams.
• Leverage automation and AI-enabled tooling to reduce operational toil, improve release readiness, and surface risks earlier.
• Use operational metrics (availability, incident trends, deployment frequency) to drive continuous improvement.
• Partner with Infrastructure and Security teams to ensure operability and compliance.

• Ensure business needs are clearly articulated, prioritized, and translated into actionable requirements and acceptance criteria.
• Establish standards for requirements quality, clarity, and traceability.
• Leverage generative AI and automation to assist with requirements drafting, analysis, validation, and documentation—freeing analysts to focus on stakeholder engagement and decision-making.
• Partner with Product and business stakeholders to focus analysis on outcomes and value, not documentation volume.
• Ensure business analysis supports discovery, solutioning, and delivery throughout the lifecycle.

• Own accountability for the quality, consistency, and accessibility of user experience across digital platforms.
• Ensure UX/UI design is grounded in user needs, brand standards, and accessibility best practices.
• Promote early design involvement in discovery and solutioning.
• Leverage AI-assisted design and research tools to accelerate ideation, prototyping, usability analysis, and design iteration—while preserving human judgment and creativity.
• Balance usability, feasibility, performance, and delivery constraints in collaboration with engineering and Dev Ops.

• Own the overall quality strategy, including test automation, performance testing, security testing, and…