remote
Director, Data and AI Enablement - Pratt & Whitney
Software Engineer
Lead enterprise‑wide data and AI initiatives, architecting scalable solutions on AWS, driving ML model deployment, and empowering cross‑functional teams to harness data for innovation.
About the role
Key Responsibilities
- Define and execute a strategic roadmap for data and AI enablement across the organization.
- Architect and oversee end‑to‑end data pipelines, ensuring high‑quality, governed data for analytics and ML workloads.
- Lead the design, development, and production deployment of machine learning models using Python and AWS services.
- Mentor and grow a high‑performing data science and engineering team, fostering a culture of continuous improvement.
- Collaborate with product, engineering, and business stakeholders to translate data insights into actionable business outcomes.
Requirements
- 10+ years of experience in data engineering, analytics, or AI, with 5+ years in a leadership role.
- Proficiency in Python, SQL, and AWS data services (S3, Redshift, Glue, SageMaker).
- Strong background in machine learning model development, deployment, and monitoring.
- Excellent communication skills and ability to influence cross‑functional teams.
- Experience with data governance, security, and compliance best practices.
Skills
machine learningpythonaws