Procurement Data & AI Analytics Manager

AbbVie; North Chicago (IL); On-site; USD 110,000 - 209,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision insurance

401(k)

Job summary

AbbVie is seeking an integrator across the Data & Analytics and Procurement AI sub-teams to improve governed Procurement Data Products and tailor them for AI and machine learning utilization in support of the Procurement AI Roadmap.

Responsibilities include driving data product quality, enriching datasets for AI use cases, and bridging teams by translating governance into ML-ready structures and ontologies; contributing to analytics delivery and BI reporting as needed.

Qualifications

• Experience with data governance and advanced data modeling.
• Exposure to AI/ML data preparation and feature engineering.
• Strong foundation in data engineering and analytics tooling.

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

advanced data modeling

AI/ML data preparation

feature engineering

Education

Bachelor's or Master's in Data Science

Tools

AWS/Redshift

Snowflake

Azure

SQL

Python

Dataiku

DataBricks

Informatica

Job description

AbbVie is seeking an integrator across the Data & Analytics and Procurement AI sub-teams to improve governed Procurement Data Products and tailor them for AI and machine learning utilization in support of the Procurement AI Roadmap.

Responsibilities include driving data product quality, enriching datasets for AI use cases, and bridging teams by translating governance into ML-ready structures and ontologies; contributing to analytics delivery and BI reporting as needed.