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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Director Software Engineering - **Company:** Elsevier group - **Location:** Philadelphia, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Governance, Machine Learning, Software Engineering, Generative AI, Api Design - **Published:** July 7, 2026 - **Apply:** https://relx.wd3.myworkdayjobs.com/ElsevierJobs/job/Philadelphia-PA/Sr-Director-Software-Engineering_R115360 ## About the Role * Demonstrated ability to build and lead high-performing, cross-functional teams. * Experience in healthcare / education technology or another regulated, data-sensitive domain. * Fluency with AI-assisted development (e.g. Claude Code, Copilot) and how to adopt it responsibly across teams. * Familiarity with data governance frameworks in a compliance-heavy environment. * Extensive technical judgment - can go deep on architecture, then zoom out to strategy. * Experience partnering with Product and UX to deliver customer-facing outcomes across diff time zone ## Description Are you a collaborative innovative leader looking to work for a mission driven global organization? About the role; Driven technology leader entrusted with maintaining the psychological safety of both direct and indirect reports. Entrusted with the speed to delivery for multiple products within our Nursing Health Education suite of products. About the team; This is within our strategic healthcare businesses focused on preparing nursing students, supporting nursing faculty, and helping healthcare organizations develop and retain nurses. It sits within Elsevier's broader Health division and has become an increasingly important growth area as nursing shortages and AI-enabled education reshape healthcare. Responsibilities * Leading multiple technology teams across Elsevier Health Education, under Health Markets responsible for the design, development, delivery, and operation of scalable software solutions supporting strategic business objectives of building innovation products for Nursing and Medical Education. * Providing technical and organizational leadership across product and engineering domains, driving execution, operational excellence, modernization, and continuous improvement. * Partnering closely with product, architecture, data, quality, and business stakeholders to align technology investments with business priorities while fostering a culture of innovation, collaboration, and talent development. * Developing and executing multi-year technology roadmaps aligned with Elsevier Health Education's strategic objectives. * Driving cloud modernization, platform consolidation, API-first architecture, and AI-enabled product capabilities across Nursing and Medical Education platforms. * Establishing engineering standards, architecture governance, security, scalability, and operational best practices across multiple teams. * Evaluating emerging technologies, including Generative AI and machine learning, to improve learning experiences and accelerate product innovation. * Building, mentoring, and leading high-performing engineering managers and technical leaders across geographically distributed teams. * Creating a culture focused on engineering excellence, innovation, accountability, continuous learning, and inclusion. * Driving workforce planning, succession planning, organizational design, and leadership development. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [AI beyond the code: Master your organisational AI implementation.](https://www.wearedevelopers.com/videos/1248-ai-beyond-the-code-master-your-organisational-ai-implementation) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)