
Pharmaceutical company.
Associate Director, AI Engineering– Operations Transformation (Hybrid) at AbbVie
About the role
Job Summary:
The Associate Director, AI Engineering – Operations Transformation will lead the development, deployment, and management of advanced artificial intelligence solutions to drive operational excellence across Abb Vie’s manufacturing and supply chain operations. This leader will own cross-functional AI initiatives, supporting key operations priorities such as process optimization, quality improvement, automation, predictive analytics, and digital transformation. The role will partner closely with Operations, IT, Engineering, Quality, Supply Chain, and Analytics teams to maximize the business value of AI-driven insights and automation in a regulated environment.
Key Responsibilities:
- Define and execute the AI strategy for Operations, aligning initiatives with Abb Vie’s strategic priorities for efficiency, quality, and innovation.
- Identify, curate, and drive high-impact opportunities to apply AI/ML to operational challenges in manufacturing, supply chain, quality, and asset management.
- Lead cross-functional project teams in designing, developing, and scaling AI solutions including predictive maintenance, defect detection, demand forecasting, digital twins, and intelligent automation.
- Collaborate with stakeholders to integrate AI models with existing operations platforms (MES, SCADA, ERP) ensuring seamless workflow and data governance.
- Establish best practices, frameworks, and governance for responsible AI development, deployment, monitoring, and ongoing improvement within operations.
- Develop talent, lead upskilling, and foster a culture of innovation and AI adoption across the operations workforce.
- Monitor emerging AI trends and technologies in manufacturing and regulated industries, advising on potential adoption and piloting.
- Ensure compliance with all relevant regulatory requirements (GxP, FDA) and Abb Vie’s internal standards for data privacy and security in AI solutions.
- Present results, value, and recommendations to executive leadership and operational stakeholders.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Operations Research, or related field; PhD a plus.
- 10+ years of experience in AI/ML solution design and deployment, ideally within manufacturing, supply chain, or similar operational environments; pharmaceutical experience strongly preferred.
- Demonstrated leadership of cross-functional, technical project teams and successful scaling of AI/ML applications in an operational setting.
- Deep knowledge of AI/ML tools, techniques (supervised/unsupervised learning, computer vision, NLP), and relevant technology stacks.
- Proficiency with integrating AI into digital operations platforms and industrial automation systems.
- Strong communication, change management, and stakeholder engagement skills.
- Familiarity with GxP, FDA, and data privacy regulations as they apply to AI and industrial data.
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 thisposting 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 anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
Abb Vie 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
About Abb Vie
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.
Required skills
Machine learning
AI strategy
Predictive analytics
Cross-functional leadership
MLOps
Operations optimization
Data governance
Automation
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About AbbVie

AbbVie
PublicPharmaceutical company.
10,001+
Employees
North Chicago
Headquarters
$200B
Valuation
Reviews
10 reviews
3.6
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
4.0
Career
2.8
Management
2.9
68%
Recommend to a friend
Pros
Great benefits
Good compensation/salary
Flexible work arrangements
Cons
Heavy workload/long hours
Limited career advancement
Poor management/lack of direction
Salary Ranges
88 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Intern
Senior
Director
Junior/L3 · Clinical Data Scientist - Centralized Monitoring & TA Analytics
1 reports
$123,500
total per year
Base
$95,000
Stock
-
Bonus
-
$123,500
$123,500
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
Latest updates
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