Data Science Manager

October 22

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Federato

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Artificial Intelligence • Insurance

Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.

11 - 50 employees

🤖 Artificial Intelligence

💰 $15M Series A on 2022-09

📋 Description

• 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.

🎯 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. • Excellent communication, organizational, and stakeholder management skills. • Ability to balance technical depth with delivery discipline — ensuring outcomes, not just output. • Bonus Points • Experience as a Scrum Master, Agile Coach, or Technical Program Manager. • Background in a hybrid data science/product engineering environment. • Exposure to customer-facing or forward-deployed data science work. • Familiarity with ML ops, model governance, and productionization best practices. • Experience in scaling data science orgs and defining operating models.

🏖️ Benefits

• Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. • Total compensation package does include stock options, benefits and additional perks.