Senior Manager, Enterprise Products & Platforms

The Software Engineering (SWE) organization is seeking an experienced technical leader to drive the strategy, development, and delivery of enterprise software products supporting business operations, resource planning, and employee experience.

You will lead distributed teams building applications, websites, and data platforms that enable informed decision-making, improve operational efficiency, and deliver engaging digital experiences across SWE.

The ideal candidate combines strong software engineering expertise, product leadership, and business acumen with a passion for developing high-performing teams. You thrive in ambiguity, translate complex challenges into scalable solutions, and bring a high bar for technical excellence, product quality, and user experience. As a Senior Manager, you will lead a portfolio of internal software products and platforms spanning three core domains:

• Enterprise Planning & Operations: Applications supporting workforce planning, headcount management, space planning, resource allocation, and capacity forecasting.
• Employee Experience & Engagement: Applications, websites, and digital experiences supporting employee engagement, education, and organizational events.
• Data & Intelligence: Data platforms, analytics, forecasting, and intelligent automation that enable operational insights and informed decision-making.

You will define product strategy, guide technical architecture and execution, and partner with senior leadership to deliver scalable, reliable, and user-centered solutions.Lead, mentor, and develop distributed teams of managers, software engineers, and data engineers / scientists, fostering a culture of technical excellence, ownership, and continuous improvement. Define product strategies, roadmaps, and priorities across a diverse portfolio of enterprise applications and platforms. Provide technical leadership across full-stack application development, system architecture, data integration, and production infrastructure. Partner with senior leadership and cross-functional stakeholders to translate complex business requirements into scalable technology solutions. Oversee the end-to-end software development lifecycle, from discovery and architecture through engineering, deployment, and ongoing support. Drive modernization of existing systems, improve data quality, automate workflows, and consolidate fragmented processes. Champion the adoption of GenAI and modern engineering tools to accelerate development, enhance product capabilities, and improve operational efficiency. Experience designing and implementing AI-assisted development workflows that use GenAI/LLM tooling to accelerate rapid prototyping and streamline program management across the SDLC. Establish product success metrics, evaluate technical and business outcomes, and communicate priorities, progress, and risks to leadership.5+ years of experience managing and developing technical teams, including software engineers, data scientists, EPMs, or related disciplines. 10+ years of experience in software engineering, technical product management, or enterprise application development. Strong technical understanding of modern web application development, including React, Next.js, TypeScript, HTML, PostgreSQL, and CSS. Experience delivering and maintaining production web applications, including front-end development, back-end services, APIs, and deployment infrastructure. Experience leveraging GenAI tools in software development workflows, including code generation, testing, documentation, and code reviews. Demonstrated experience defining product strategy, managing roadmaps, and delivering complex software solutions from concept through production. Strong understanding of software architecture, data platforms, CI/CD practices, and modern software development methodologies. Proven ability to lead cross-functional initiatives, navigate ambiguity, and communicate effectively with technical teams and senior leadership. Bachelors degree in Computer Science, Engineering, Information Systems, Business, or a related field, or equivalent professional experience.MBA or advanced degree in Computer Science, Engineering, Business Administration, or a related discipline. Hands-on experience in software engineering, full-stack development, or systems architecture. Experience leading distributed, cross-functional engineering teams across multiple locations. Experience integrating GenAI, machine learning, predictive analytics, or intelligent automation into enterprise applications. Familiarity with modern web development frameworks, cloud infrastructure, databases, and scalable application architectures. Experience developing enterprise platforms supporting workforce planning, resource allocation,capacity forecasting, or operational optimization. Experience delivering employee-facing applications, websites, and digital platforms supporting engagement, education, and organizational programs. Strong understanding of data architecture, data integration, business intelligence, and advanced analytics. Experience driving technology modernization, process automation, and organizational transformation. Demonstrated ability to influence senior leadership, align technical investments with business priorities, and manage competing product and engineering demands.