> Markdown version of [/jobs/ext/4152598-manager-data-analytics-ai](https://www.wearedevelopers.com/jobs/ext/4152598-manager-data-analytics-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Manager, Data, Analytics & AI

- **Company:** AbbVie Inc.
- **Location:** North Chicago, IL, United States
- **Experience:** Experienced
- **Salary:** $109,500.0 - $208,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Data Cleansing, Information Engineering, Data Governance, R (Programming Language), Python (Programming Language), SQL Databases, Feature Engineering, Informatica Powercenter, Snowflake, Information Technology, Data Analytics, Dataiku, Amazon Redshift, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5cbc622789978b61

## About the Role

* 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)

## Description

Serve as an integrator across the Data & Analytics and Procurement AI Sub-Teams, continuously improving governed Procurement Data Products and contextualizing them for AI and machine learning utilization in support of the Procurement AI Roadmap., * 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