Manager, Data Engineering and AI-Ready Data Enablement

Role Overview

The Manager will lead development and operations for one of our Enterprise Data Technology teams, providing technical guidance for data engineering, data platforms, and AI-ready data products enriched with semantics and business context.

What You Will Do

The Manager will work closely with IT and business data teams to enable self-service development and consumption of trusted, AI-ready data products, and contribute to our ongoing evolution to a Data Driven Culture.

Why It Might Be a Fit

This is a hands-on technical leadership role that requires experience in data engineering, data platforms, and semantic technologies, as well as the ability to work in a multi-functional team environment.

Requirements

• Bachelor’s degree in Computer Science, Management Information Systems, or related field of study, or equivalent relevant work experience.
• 7+ years of progressive hands-on engineering, implementing data engineering solutions and data platforms (i.e. ETL, ELT, data lakes and cloud data warehouses), and 2+ years of experience leading engineers through people management, technical leadership, or a combination of both.
• Hands-on experience building AI-ready data products by combining data engineering with semantic modeling, metadata, and business context, including experience developing or implementing an enterprise semantic layer.
• Experience partnering with IT and business data teams to enable self-service development of data products through reusable patterns, technical guidance, and knowledge sharing.
• 5+ years of experience using SDLC and Agile.
• 1-3 years of experience with AWS data services such as S3, Glue, Redshift and EMR.
• 3-5 years of demonstrated experience with data movement (EMR, Glue, etc.)
• 5+ years of validated experience in programming languages – Python, Java, Scala, C#.
• 1-3 years of DevOps experience with Git, build, artifact/package management, and deploy automation.
• Able to work in a multi-functional team environment including varied business units, vendors, countries, and cultures.

Benefits

• Competitive compensation package with bonus plan
• Generous PTO and competitive benefits
• 401k with 5% company match plus annual performance-based discretionary contribution
• Tuition reimbursement, formal mentorship program, live and online learning

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