Associate Director - Business Intelligence, Analytics, and AI Automation (Hybrid)

Benefits

Parental leave

12 weeks Verified - employer source source checked May 7, 2026

Non-birth-parent leave

12 weeks Verified - employer source source checked May 7, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Associate Director - Business Intelligence, Analytics, and AI Automation (Hybrid) North Chicago, IL, United States 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: Lead the design, strategy, and delivery of enterprise data and AI/Agentic programs across enterprise systems. This role combines technical leadership with organizational navigation; you will be the bridge between complex business needs and technical execution, accountable for defining solutions, identifying the right team members and resources (both internal and external) and ensuring consistency across the data landscape. Requires a technically credible leader who understands data architecture deeply and has built or led data systems. Requires a leader who can connect and orchestrate across a large, complex organization: finding the right talent, identifying where capabilities already exist, evaluating tools based on principles, and making smart build/buy decisions. You will build and lead a small team and work closely with Business BTS partners who bring requirements from the field. In this role you must know appropriate approaches for ETL pipeline, building ML models, etc., how to best execute the work, and hold everyone accountable to

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