Data Science Manager - System Analytics & Intelligence

As the manager for the SAIL team, you will own the vision and execution for how Core OS measures what matters and acts on it. The opportunity ahead is to build the strategic intelligence function for Core OS: systems that synthesize signals from across the development lifecycle to proactively identify systemic bottlenecks, predict quality risk, and guide leadership investment decisions before problems escalate. This role requires more than technical depth in data engineering and analytics. It requires the judgment to know which questions are worth asking and the influence to ensure the answers drive action. You will build and maintain strong partnerships with engineering teams, workflow champions, and leadership across Core OS organizations. Candidates who thrive in this role will be energized by ambiguity, motivated by impact, and committed to building something Core OS didn't know it needed. Manage, mentor, and grow a team of data scientists and analysts; coach team members to connect their work to measurable outcomes and gradually build a culture where the team drives impact, not just delivery Define and execute the technical vision for Core OS workflow analytics, guiding the design and development of large-scale data pipelines, transformation workflows, and analytics platforms Move the team beyond reporting and toward proactive strategic intelligence, synthesizing signals across Core OS to surface investment recommendations and identify systemic quality and productivity risks before they escalate Partner with stakeholders across Core OS organizations to identify analytics needs, prioritize initiatives, and drive adoption of data products that improve developer productivity and software quality Lead efforts to apply emerging technologies like LLMs, graph-based diagnostics, and predictive analytics to Core OS workflow and quality problems 5+ years of experience building production data systems (Python, SQL, or similar languages) and working with data platforms and distributed systems Strong foundation in data analytics, including experience with business intelligence tools, statistical analysis, and data visualization Demonstrated ability to translate complex data into actionable insights and clear narratives for technical and executive audiences Excellent stakeholder management skills with experience partnering across multiple teams and organizations Proven track record of delivering data products that drive measurable business or engineering outcomes 5+ years of experience leading teams of data engineers, data scientists, or analytics engineers Experience with modern data stack tools, business intelligence platforms such as Tableau, and background in software development workflows, CI/CD systems, or developer productivity Experience with graph databases, graph algorithms, or machine learning/LLM applications in software engineering domains Experience making data insights easily accessible to stakeholders through web services, APIs, or other scalable delivery mechanisms across large engineering organizations Advanced degree in Computer Science, Data Science, Statistics, or related field

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