Description
We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.
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, owns their development, performance, and delivery, and stays close to the work by committing approximately 50% of their time to hands-on engineering.
Responsibilities:
- People Management & Team Leadership
+ Manages a team of software engineers and data engineers, including hiring, onboarding, goal setting, performance management, career development, and retention. + Provides regular coaching, feedback, and recognition, and addresses performance concerns directly and constructively. + Mentors engineers, identifies skill gaps, and provides training and growth opportunities to strengthen team capabilities.
- Hands-On Engineering & Technical Leadership
+ Dedicate approximately 50% of time to hands-on work, including designing, coding, prototyping, and troubleshooting data pipelines, services, and AI-enabled applications. + Sets the bar for engineering quality by authoring reference implementations, establishing patterns, and tackling the most complex technical challenges alongside the team.
- Strategy & Architecture
+ Defines strategy for the full software development lifecycle, utilizing emerging technologies and key data design principles in developing data pipelines, interfaces, and architecture to support data and analytics initiatives. + Develops and executes a strategic roadmap for data-driven and AI-enabled software projects, aligning them with business objectives and the overall technology vision.
- AI & Data Engineering
+ Leads the design and delivery of AI and ML-enabled data products, including GenAI, RAG, and LLM-based solutions, along with supporting data foundations, MLOps/LLMOps practices, and evaluation frameworks. + Builds scalable, reliable, and cost-efficient pipelines and platforms for batch and real-time data processing.
- Cross-Functional Partnership
+ Partners with product managers and UX/UI designers to define requirements, shape roadmaps, prioritize work, and translate needs into technical specifications and deliverables. + Partners with data scientists and analytics teams to productionize models and prototypes into secure, observable, scalable systems. + Builds and sustains strong relationships with business stakeholders to understand priorities, shape the direction of data and AI investments, and demonstrate measurable value.
Requirements:
- 8+ years of experience in data engineering, software engineering, or a related field.
- 3+ years of people management experience, including hiring, performance management, and developing engineers.
- Demonstrated ability and willingness to commit approximately 50% of time to hands-on design and development.
- Deep understanding of full-stack engineering, software engineering principles, design fundamentals, and first-principles problem-solving.
- Strong proficiency in Python and SQL, plus at least one additional language.
- Proven experience designing and building data pipelines, data models, and data platforms on a major cloud provider.
- Hands-on experience applying AI/ML or GenAI in production data environments.
Benefits:
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility