Associate Director, AI Engineering
Allergan, Greenlawn, NY, United States
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 AbbVie’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 AbbVie’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 AbbVie’s internal standards for data privacy and security in AI solutions.
Present results, value, and recommendations to executive leadership and operational stakeholders.
Qualifications
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.
Additional Information
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 employer 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.
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Key Responsibilities
Define and execute the AI strategy for Operations, aligning initiatives with AbbVie’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 AbbVie’s internal standards for data privacy and security in AI solutions.
Present results, value, and recommendations to executive leadership and operational stakeholders.
Qualifications
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.
Additional Information
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 employer 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.
#J-18808-Ljbffr