Constructor /Project Manager - Data Science Integrations Teams

Overview

Responsibilities

• Establish scalable intake, prioritization, and planning processes to improve visibility into incoming work.
• Reduce reactive coordination across teams.
• Partner with Data Science Integrations analysts and engineering managers to improve capacity planning.
• Ensure workloads remain balanced and aligned with customer priorities.
• Improve cross-team coordination between Data Science Integrations, Machine Learning teams, the internal Experiments platform, and Customer Success.
• Introduce tooling, automation, or dashboards to reduce manual coordination work.
• Increase transparency into request status, workloads, and delivery timelines.
• Facilitate operational rituals such as standups, planning preparation, and cross-team coordination meetings.
• Support knowledge sharing and alignment across the Data Science Integrations teams as the organization grows.

Requirements

• 4+ years of experience in Project Management, Program Management, or Operations roles in technical or data-driven environments.
• Strong ability to coordinate and automate complex workflows involving multiple teams and stakeholders.
• Experience designing or improving operational processes, tooling, or automation that increases team efficiency.
• Ability to identify operational bottlenecks and introduce scalable process improvements.
• Comfort operating in fast-growing environments where processes and team structures evolve over time.
• Experience improving operational workflows through automation, AI tools, and internal tooling.
• Experience working with data science, experimentation, or machine learning teams is a plus.

Skills