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

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)

Senior Data Science Manager

Key skills