Director, Operations Program Management

Required

• 10+ years applying data science / statistical modeling to real-world problems, with a track record of owning ambiguous, high-impact problems end to end.
• MS or PhD in Statistics, Computer Science, Operations Research, Engineering, Physics, or a related quantitative field; or equivalent professional experience. PhD and coursework/experience in reliability engineering, survival analysis, or applied statistics preferred.
• Prior work in robotics, autonomous systems, hardware, IoT/connected devices, industrial, or manufacturing settings.
• Deep expertise in some combination of: reliability/survival analysis, time-series and anomaly detection, predictive maintenance, and causal/observational inference.
• Strong software fundamentals — production-quality Python, comfort in SQL and modern data stacks.
• 3+ years serving as a technical lead or a senior IC on cross-functional efforts, with a track record of setting technical direction for a team of data scientists/analysts, mentoring and growing ICs, and driving alignment across engineering and business stakeholders without formal authority.
• Fluency partnering cross-functionally with hardware, embedded/software, manufacturing, and business/finance stakeholders, and translating analysis into decisions they trust.
• Experience working with large-scale, messy, multi-modal operational data (sensor/telemetry, logs, event streams) and the judgment to know when the data can and can't support a conclusion.
• Authorization to work in the USA