Procurement AI & Data Analytics Manager

AbbVie; Illinois; On-site; USD 110,000 - 160,000; Full time

Job summary

AbbVie is seeking a data engineering professional to serve as an integrator across the Data & Analytics and Procurement AI Sub-Teams, improving procurement data products for AI/ML use.

You will ensure data governance, build feature-ready data formats, and support analytics delivery and BI reporting, leveraging platforms like AWS/Redshift, Snowflake and DataBricks.

Requires a Bachelor's or Master's in a related field and 4–6 years of data engineering experience.

Qualifications

• Bachelor's or Master's in Data Science, Analytics, Computer Science, or related field
• 4–6 years of experience in data engineering, analytics engineering, or data product development
• Strong proficiency in data governance and advanced data modeling
• Experience with AI/ML data preparation and feature engineering preferred
• Proficiency in data and analytics tools & technology (AWS/Redshift, Snowflake, Azure, Fabric, SQL, Python, R, Dataiku, DataBricks, Informatica or equivalent)

Responsibilities

• Drive continuous improvement of Procurement Data Products, including quality checks, refresh cadences, and schema enhancements
• Contextualize and enrich Data Products for AI/ML consumption — ensuring structured, documented, feature-ready data formats consumable by AI use cases across the roadmap
• Bridge the Data & Analytics Sub-Team and the Procurement AI Sub-Team by translating data governance standards into ML-accessible structures and AI-compatible ontologies
• Support the expansion of AI-enabled analytics capabilities by ensuring underlying data products are properly structured and integrated
• Contribute to analytics delivery and BI reporting as needed

Skills

Data governance

AWS/Redshift

SQL

Python

Data modeling

Education

Bachelor's or Master's in Data Science, Analytics, Computer Science, or related field

Tools

DataBricks

Snowflake

Informatica

Power BI

Job description

AbbVie is seeking a data engineering professional to serve as an integrator across the Data & Analytics and Procurement AI Sub-Teams, improving procurement data products for AI/ML use.

You will ensure data governance, build feature-ready data formats, and support analytics delivery and BI reporting, leveraging platforms like AWS/Redshift, Snowflake and DataBricks.

Requires a Bachelor's or Master's in a related field and 4–6 years of data engineering experience.