Data Science Manager at Federato

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Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

225000.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Data Engineering, Agile Methodologies, Project Management, Cross-Functional Coordination, Coaching, Mentorship, Communication, Stakeholder Management, Technical Excellence, Innovation, Prototyping, Delivery Management, Model Governance, Productionization

Industry

Insurance

Description

Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc. Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done. Better decisioning is built-in, not bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are part of the workflow so underwriters win the right deals, faster. From the moment a submission hits an underwriter’s inbox, AI is put to work, triaging submissions with a focus on high-appetite business, delivering real-time feedback on the portfolio, and consolidating workflows into a single proven system. Federato drives better business outcomes. Data Science Team Our Data Science organization drives insights, models, and engineering solutions that power our products and customer implementations. We operate across three core functions: Analytics – turning data into business insights Core Engineering – building robust data and ML infrastructure (Data Engineering + ML Engineering foundations) Modeling – developing, deploying, and maintaining advanced ML models and forward-deployed solutions We collaborate closely with Product, Product Engineering, Forward Deploy Engineering (FDE), and Customer Success to design, build, and operationalize data products that deliver measurable impact. We’re looking for a Data Science Manager to lead execution across the Data Science organization, ensuring our vision translates into consistent, high-quality delivery. This role combines people leadership, agile delivery management, and cross-functional coordination. You’ll manage a team of 6–9 machine learning and data engineers, define and optimize delivery processes, and serve as a bridge between Data Science, Product, Engineering teams, and Customer Success. You’ll partner closely with the Sr. Director of Data Science (vision & strategy) and function leads (Analytics, Core Engineering, and Modeling) to ensure the team executes efficiently and effectively. What You'll Be Doing: 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. Who We Hope You Are: 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. $185,000 - $225,000 a year 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. Here at Federato, your capabilities are important, but 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. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you! We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai

Responsibilities

Manage a multidisciplinary data science team while fostering technical and professional growth. Serve as the primary delivery interface across Product, Engineering, and Customer Success to ensure alignment and continuous improvement.