Manager, Data, Analytics & AI

Posted 2 Days Ago
Be an Early Applicant
North Chicago, IL, USA
Hybrid
110K-209K Annually
Senior level
Healthtech • Pharmaceutical
The Role
Integrate Procurement Data and AI teams by improving governed data products, implementing quality checks and schema enhancements, and preparing structured, documented, feature-ready data for AI and machine learning use cases. Translate governance standards into ML-accessible structures and ontologies, support AI-enabled analytics, and contribute to business intelligence reporting.
Summary Generated by Built In
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.

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

Skills Required

  • Bachelor's or Master's degree 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
  • Experience with AI/ML data preparation and feature engineering
  • Proficiency with AWS, Redshift, Snowflake, Azure, Fabric, SQL, Python, R, Dataiku, Databricks, Informatica, or equivalent tools

AbbVie Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.

  • Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
  • Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
  • Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.

AbbVie Insights

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The Company
HQ: North Chicago, IL
56,000 Employees
Year Founded: 2013

What We Do

AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.

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