Operations AI Adoption, Data Science, and Analytics Lead

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 . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.

Job Description

Purpose:

The Operations AI Adoption, Data Science and Analytics Lead is responsible for spearheading the integration and optimization of AI, machine learning, and advanced analytics within operations. This role will focus on driving the adoption of data-driven culture, building analytics capabilities, and achieving operational excellence through strategic and tactical initiatives. This will also ensure governance is standardized, trusted, and embedded into Ops AI initiatives (Digital CMC, NEO, OMEGA and ALPHA), Factory of the Future, Lab/ QA of the Future, Supply Chain/ Control Tower, and other digital transformation initiatives. The Lead will drive overall governance and compliance, including digital and AI governance at the Operations level, and oversee a team (Data Science/Analytics, Data governance, AI Adoption and change management) to coordinate standards, enable adoption, and ensure AbbVie’s digital investments are supported by high-quality, well-managed data and processes.

Responsibilities:

• Lead and execute the adoption of AI, data science, and analytics solutions across operations functions to drive process automation, efficiency, and value.
• Collaborate with cross-functional stakeholders to identify opportunities for AI/ML use cases, develop business cases, and prioritize projects.
• Oversee the design, development, and deployment of data-driven solutions, ensuring alignment with business objectives and operational requirements.
• Build, manage, and mentor a team of data scientists, analysts, and engineers. Foster an innovation-driven and data-centric culture.
• Establish data governance best practices, ensure data quality and security, and promote ethical AI usage.
• Define and monitor success metrics for AI adoption and analytics projects; track ROI and report outcomes to senior leadership.
• Stay at the forefront of AI, analytics, and industry trends, recommending new technologies and best practices to improve operational performance.
• Develop training and change management programs to support adoption and upskilling across the operations workforce.
• Define and maintain an enterprise taxonomy and governance framework spanning data, digital, and AI, ensuring consistent standards across Operations initiatives.
• Develop and maintain an inventory of priority Operations data assets, data products and data flows in a central metadata management platform and AbbVie’s Operations Data Marketplace
• Oversee the prioritization critical data domains (e.g., product, batch, equipment, quality, supply chain) to be governed based on 2026–2027 initiative dependencies.
• Onboard and coordinate collaboration across data domain leads, data product stewards and data consumers across Operations to support strategic priorities.
• Provide portfolio-level oversight of governance activities, integrating the work of the data governance lead, change management lead, and project manager into a unified Ops AI governance program.
• Coordinate with data owners and stewards to enforce data standards, definitions, and quality rules across operational systems (e.g., ERP, MES, LIMS, procurement platforms)
• Facilitate regular data governance council/committee meetings, ensuring that decisions, action items, and policies are communicated and implemented
• Collaborate with functional leads, BTS leads, site digital leads, and business partners to embed governance into digital product design, ensuring interoperability and scalability across functions.
• Establish metrics and dashboards to monitor adoption, data quality, and business value delivered through governance.
• Act as the primary liaison to cross-functional leadership on governance decisions, balancing enterprise alignment with local flexibility.

Qualifications

• Advanced degree in Data Science, Computer Science, Engineering, Operations Research, or related field.
• Proven experience leading AI, data science or analytics projects, preferably within an operations or enterprise environment.
• Strong understanding of AI/ML concepts, data management, operational processes, and change management principles.
• Excellent leadership, project management and interpersonal skills, with the ability to influence cross-functional teams.
• Experience with relevant tools and technologies (e.g., Python, R, SQL, cloud platforms, data visualization, process automation tools).
• 15+ years of experience in data governance, master data management, or digital transformation, ideally within life sciences or manufacturing.
• Proven expertise in data, digital, and governance frameworks.
• Experience leading governance in a matrixed, global environment, with ability to align stakeholders across Operations, Quality, Supply Chain, IT, etc.
• Familiarity with metadata tools, enterprise data lakes, and integration platforms.
• Strong understanding of regulatory compliance requirements (GxP/GMP, data integrity, auditability) in pharma manufacturing.

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 postingbased 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 orless 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 short-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 paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

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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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