Manager, Data, Analytics & AI

AbbVie

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $109,500–$208,500 / yr
Posted: 10 days ago
Freshness: Confirmed live today
Closes: Oct 16, 2126
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k

This role $159k

$96k $239k

below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $160,400–$221,181 — the blue band above. At the midpoint, this role pays about $159k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 145 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 140 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Manager, Data, Analytics & AI

Role Posting Log in to save

The Manager, Data, Analytics & AI serves as an integrator across the Data & Analytics and Procurement AI Sub-Teams. This role focuses on continuously improving governed Procurement Data Products by managing quality checks, refresh cadences, and schema enhancements. The individual will contextualize and enrich data products for AI and machine learning utilization, ensuring structured, documented, and feature-ready formats are available for the Procurement AI Roadmap. Key responsibilities include translating data governance standards into ML-accessible structures and AI-compatible ontologies while supporting analytics delivery and BI reporting. Required skills include proficiency in SQL, Python, R, AWS/Redshift, Snowflake, Azure, Fabric, Dataiku, Databricks, and Informatica. Candidates should possess experience in data engineering, analytics engineering, data modeling, and AI/ML data preparation to solve complex procurement data problems.

Skills

SQL Python R AWS Redshift Snowflake Azure Fabric Databricks Dataiku Informatica Data Governance Data Modeling Feature Engineering AI ML BI Data Engineering

What you'll do

Drive continuous improvement of Procurement Data Products through quality checks, refresh cadences, and schema enhancements.
Contextualize and enrich Data Products to ensure they are structured and feature-ready for AI/ML consumption.
Translate data governance standards into ML-accessible structures and AI-compatible ontologies.
Support the expansion of AI-enabled analytics by ensuring underlying data products are properly structured and integrated.
Serve as an integrator between the Data & Analytics and Procurement AI Sub-Teams.
Contribute to analytics delivery and BI reporting as needed.

What we're looking for

Bachelor's or Master's in Data Science, Analytics, Computer Science, or a 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.
Proficiency in data and analytics tools including AWS/Redshift, Snowflake, Azure, Fabric, SQL, Python, R, Dataiku, DataBricks, or Informatica.
Experience with AI/ML data preparation and feature engineering (preferred).

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