Federato is looking to solve the business and technical problem of enabling insurers to provide affordable coverage to people and organizations facing modern challenges like climate crisis and cyber-attacks, by leveraging an AI-native platform that spans the full policy lifecycle and improves decision-making for underwriters.
Requirements
- 5+ years of experience in data science, data engineering, or machine learning–related roles.
- 2+ years in a people management or delivery management role (directly leading technical contributors).
- Proven experience managing cross-functional 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.
- Familiarity with ML ops, model governance, and productionization best practices.
Responsibilities
- Manage a multidisciplinary data science team (analytics, engineering, and modeling) while fostering technical and professional growth through coaching, mentorship, and career development.
- 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 Science vision into clear objectives, priorities, and milestones, ensuring effective project scoping, resourcing, and delivery.
- Define and refine agile workflows tailored to data science, 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.
Other
- Manage a multidisciplinary data science team (analytics, engineering, and modeling) while fostering technical and professional growth through coaching, mentorship, and career development.
- Excellent communication, organizational, and stakeholder management skills.
- Ability to balance technical depth with delivery discipline — ensuring outcomes, not just output.
- Experience in scaling data science orgs and defining operating models.
- Culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds.
