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Manager, Data, Analytics & AI

North Chicago, IL, United States

Pay
Pay not listedSimilar roles state $153K–$225K
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Apply at AbbVie

What you’ll work on

Full posting
  • Drive continuous improvement of Procurement Data Products, including quality checks and refresh cadences

  • Structure and enrich data products into feature-ready formats for AI and ML use

  • Translate data governance standards into ML-accessible structures and AI-compatible ontologies

  • Ensure underlying data products are properly structured and integrated to support AI-enabled analytics

  • Contribute to analytics delivery and BI reporting as needed

From the employer’s posting
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
translating data governance standards into ML-accessible structures and AI-compatible ontologies
ensuring underlying data products are properly structured and integrated
Contribute to analytics delivery and BI reporting as needed

What you’ll bring

All qualifications

Core experience

  • 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
  • Proficiency in data and analytics tools & technology (AWS/Redshift, Snowflake, Azure, Fabric, SQL, Python, R, Dataiku, DataBricks, Informatica or equivalent)

Preferred experience

  • Experience with AI/ML data preparation and feature engineering preferred
Qualification wording
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
Proficiency in data and analytics tools & technology (AWS/Redshift, Snowflake, Azure, Fabric, SQL, Python, R, Dataiku, DataBricks, Informatica or equivalent)
Experience with AI/ML data preparation and feature engineering preferred
Education & alternatives
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

Tools in this posting

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • Databricks
  • Redshift
  • Snowflake
Source — Tool mentions in context
- 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) Additional Information

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 16, 2026 · 13 days ago
Recorded sightings
186
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

Job 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.      

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

 

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)

 

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

  • This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

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Location & working pattern

North Chicago, IL, United States

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