Hybrid Senior Data Science Manager

at Boeing

• Job title: Senior Data Science Manager
• Job type: Full Time
• Experience level: Senior
• Salary: $204,000 - $295,550 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Berkeley, United States

About the role

• Data Science Senior Manager at Boeing leading teams in AI and ML project delivery. Responsible for high-impact analytics solutions and collaborative stakeholder engagement across various domains.

Responsibilities

• Lead and manage a team of Data Scientists and BI Analysts to deliver high business impact AI/ML and analytics solutions
• Collaborate with business stakeholders and product managers to elicit, refine, and prioritize requirements; ensure use cases are well found, measurable, and aligned to business outcomes
• Educate executive level leadership on the state of the art in AI/ML, set realistic expectations, and articulate a clear roadmap for AI capabilities across the enterprise
• Drive end-to-end project delivery, from problem framing and data discovery through model development, validation, deployment, and value realization
• Establish and enforce best practices for modeling, experimentation, reproducibility, and documentation; promote responsible AI, fairness, and governance
• Partner with the AI Platform team to shape ML Ops recommendations, model monitoring, deployment pipelines, and data/model governance strategies; translate team needs into actionable platform requirements
• Mentor and develop team members, promote professional growth, and cultivate a high-performing data science/analytics culture
• Collaborate with data engineering, data governance, and IT to ensure data quality, accessibility, security, and compliance
• Communicate progress and impact to executive stakeholders; translate complex technical concepts into clear, business-relevant narratives

Requirements

• 5+ years of experience in Data Science and building Artificial Intelligence (AI) & Machine Learning (ML) models
• 5+ years of experience working on teams and projects that involve cross-functional and/or cross-business domains with executive interface experience
• 5+ years of experience with python, ML Ops and Data Ops frameworks
• 5+ years of experience in managing a team or as a technical lead
• Bachelor’s, Master’s or PhD in a relevant field (e.g., Data Science, AI, Engineering, Statistics) (preferred)

Benefits

• health insurance
• flexible spending accounts
• health savings accounts
• retirement savings plans
• life and disability insurance programs
• programs that provide for both paid and unpaid time away from work