Senior Manager, Data Engineering & AI

Leads and actively contributes to a team that builds the systems and AI-enabled platforms used to process, store, and serve data across the enterprise. This is a player coach role: roughly 50% of the time is spent hands-on in design, code, and architecture, with the remainder devoted to people leadership, cross-functional partnership, and strategy. The Senior Manager owns the growth, performance, and delivery of the team, partners closely with product, data science, and business teams, and turns emerging ideas into production-grade solutions.

The Senior Manager, Data Engineering & AI is both a people leader and a technical leader who leads from the front. This person manages a team of data and software engineers (employees and contractors), owns their development, performance, and delivery, and stays close to the work by committing approximately 50% of their time to hands on engineering, including prototyping, building core components, setting patterns, and solving the hardest technical problems alongside the team.

The role sits at the intersection of engineering, product, data science, and the business. The Senior Manager works with product managers to shape roadmaps, with data scientists to move models from experiment to production, and with business stakeholders to ensure data and AI investments deliver measurable outcomes. The ideal candidate combines deep full stack and data engineering expertise, strong software engineering fundamentals, and first principles thinking with a genuine commitment to building people and relationships. Experience in healthcare and contact center analytics engineering is highly valued.

What You Will Do People Management & Team Leadership

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