Data Science Manager

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, 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 lead a team of 6–9 machine learning engineers, starting with an existing group of 4–5 and growing the team. You’ll define and refine our delivery processes while acting as a key connection between Data Science, Product, Engineering, 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 team of Machine Learning Engineers owning the full ML lifecycle (from proof of concept all the way to production), 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 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 MLOps, model governance, and production best practices, as well as tools like Vertex AI (GCP), Prefect, Sentry, or comparable platforms.
• 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.
  • 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.