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 DescriptionPurpose
We are seeking an Associate Director of AI & Automation Strategy to join the Finance Transformation team. The Associate Director will be responsible for supporting AI & Automation programs across the Finance organization with a specific focus on leading adoption and enablement efforts. You will lead the development of Proofs of Concept (“POCs”), including machine learning and forecasting solutions, and the scaling of initiatives across the organization. This role will also be responsible for supporting Finance strategy in alignment with AbbVie’s Enterprise vision.
This role will team and collaborate with the wider Finance Transformation and AbbVie Business Technology Systems (“BTS”) organization to develop a comprehensive training and communications program to promote data democratization and build Machine Learning (“ML”) and Agentic AI (“GenAI”) skills across the Finance organization.
Responsibilities
- Support the execution of the AI strategy in the Finance function.
- Lead adoption efforts for Finance AI & Automation initiatives, including piloting solutions, collecting feedback, and ensuring successful rollout to end-users.
- Lead and mentor a team of data scientists, providing technical guidance, setting priorities, and fostering best practices in model development.
- Review machine learning models for quality, rigor, and business relevance before they move to production.
- Partner with BTS and Machine Learning Operations (MLOps) teams to deploy, monitor, and maintain ML models in production environments.
- Design and deliver ML training to build AI literacy and skills across Finance.
- Help coordinate and drive communications and training to support data democratization and GenAI skill building within the Finance organization.
- Assist with the creation and maintenance of a multi-year roadmap for Finance data and AI capabilities.
- Collaborate closely with the Finance Transformation Data Strategy team and other business partners to rationalize data and support a central data architecture.
- Support development, documentation, and adherence to governance frameworks as established by leadership.
- Work with leaders and key stakeholders across Finance to identify, prioritize, and support delivery of data and AI-driven opportunities, managing expectations and communicating progress and impact.
- Facilitate a culture of innovation, delivery, and measurable business impact through mentorship and promotion of best practices.
- Build strong relationships across Finance, Business Technology Systems (BTS), and business unit teams to support coordination and adoption.
- Ensure data is managed in compliance with regulations and company standards.
The ideal candidate will:
- Execute the Finance Automation & AI strategy and influence decision-makers while leading data change management efforts across the Finance organization.
- Bring hands-on ML and MLOps expertise to lead data science teams and turn models into adopted, scaled solutions.
- Drive an effective data-driven culture that scales to meet the needs of all Finance functions across AbbVie.
- Bachelor’s degree in Mathematics, Statistics, Data Science, Information Technology, or a related field.
- Minimum 8+ years of progressive experience with exposure to data, AI, or automation programs; experience supporting or enabling data and AI initiatives preferred.
- Experience building machine learning models and deploying them into production environments.
- Hands-on experience with MLOps practices, including model deployment, monitoring, versioning, and lifecycle management.
- Proven experience driving AI adoption, including piloting solutions, change management, user training, and scaling tools across an organization.
- Familiarity with data strategy, architecture, and operations; proven success driving or supporting enterprise data initiatives as part of a larger program team.
- Strong financial acumen and understanding of financial systems and processes.
- Excellent collaboration, communication, and stakeholder management skills.
- Ability to explain technical concepts to non-technical stakeholders and drive adoption through training and enablement.
- Experience supporting multiple concurrent projects in fast-paced, changing environments.
- Demonstrated ability to work independently and as part of a cross-functional team.
- Strong analytical and problem-solving skills, with attention to detail and a focus on execution.
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 degree in Mathematics, Statistics, Data Science, Information Technology, or a related field
- 8+ years of progressive experience with exposure to data, AI, or automation programs
- Experience building machine learning models and deploying them into production environments
- Hands-on MLOps experience, including model deployment, monitoring, versioning, and lifecycle management
- Experience driving AI adoption through piloting, change management, user training, and organizational scaling
- Familiarity with data strategy, architecture, and operations
- Experience driving or supporting enterprise data initiatives as part of a larger program team
- Strong financial acumen and understanding of financial systems and processes
- Excellent collaboration, communication, and stakeholder management skills
- Ability to explain technical concepts to non-technical stakeholders and drive adoption through training and enablement
- Experience supporting multiple concurrent projects in fast-paced, changing environments
- Ability to work independently and as part of a cross-functional team
- Strong analytical and problem-solving skills, attention to detail, and execution focus
- Experience supporting or enabling data and AI initiatives
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
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.
