Sr. Manager, Data Engineering

Federato is on a mission to defend the right to efficient, equitable insurance for all. They are seeking a Sr. Manager, Data Engineering to lead execution across the Data Engineering organization, ensuring high-quality delivery and collaboration across teams.

Responsibilities:

• Manage a team of Data Engineers and Data Analytics Engineers owning our data infrastructure, including our medallion layers, data pipelines, and collaborating closely with MLEs on LLM Operations and agentic products
• Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams
• Partner with function leads and senior leadership to align growth paths, performance expectations, and strategic goals with technical excellence standards
• Translate the Data Engineering vision into clear objectives, priorities, and milestones, ensuring effective project scoping, resourcing, and delivery
• Define and refine agile workflows tailored to data engineering, managing key rituals such as design sessions, sprint planning, and retrospectives
• Serve as the primary delivery interface across Product, Engineering, and Customer Success, ensuring alignment, transparent communication, and continuous improvement of team operations
• Drive hiring excellence by attracting, developing, and scaling a high-performing team aligned with business needs

Requirements:

• 8+ years of experience in data science, data engineering, or machine learning–related roles
• 4+ years in a people management or delivery management role (directly leading technical contributors)
• Proven experience managing cross-functional ML technical teams and driving delivery across multiple workstreams
• Strong understanding of data science lifecycle (from ideation and experimentation to deployment and maintenance)
• Practical experience with agile methodologies (Scrum, Kanban) and delivery facilitation
• Excellent communication, organizational, and stakeholder management skills
• Ability to balance technical depth with delivery discipline, ensuring outcomes, not just output
• Experience with LLM Ops, agentic framework, data governance, and productionization best practices
• Experience as a Scrum Master, Agile Coach, or Technical Program Manager
• Background in a hybrid data engineering/product engineering environment
• Exposure to customer-facing or forward-deployed data engineering work
• Experience in scaling data engineering orgs and defining operating models