Associate Director, AI & Automation Strategy

AbbVie•North Chicago, IL
•$141,500 - $268,500

About The Position

AbbVie is seeking an Associate Director of AI & Automation Strategy to join its Finance Transformation team. This role supports AI and automation programs across Finance, with a focus on adoption and enablement. The Associate Director will lead development of proofs of concept, including machine learning and forecasting solutions, and help scale initiatives across the organization. The role also supports Finance strategy in alignment with AbbVie’s enterprise vision. Working with Finance Transformation and AbbVie Business Technology Systems (BTS), the Associate Director will develop training and communications programs that promote data democratization and build machine learning and Agentic AI skills across Finance. The role leads adoption and change-management efforts, mentors data scientists, reviews models before production, and partners with BTS and MLOps teams to deploy and maintain production models. It also contributes to Finance’s multi-year data and AI roadmap, data strategy and architecture, governance, and compliance.

Requirements

  • Bachelor’s degree in Mathematics, Statistics, Data Science, Information Technology, or a related field.
  • At least 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 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.
  • Ability to work independently and as part of a cross-functional team.
  • Strong analytical and problem-solving skills, attention to detail, and a focus on execution.

Nice To Haves

  • Experience supporting or enabling data and AI initiatives.

Responsibilities

  • Support execution of the AI strategy in the Finance function.
  • Lead adoption efforts for Finance AI and automation initiatives, including piloting solutions, collecting feedback, and supporting successful rollout to end users.
  • Lead and mentor a team of data scientists, providing technical guidance, setting priorities, and fostering model-development best practices.
  • Review machine learning models for quality, rigor, and business relevance before production.
  • Partner with BTS and MLOps teams to deploy, monitor, and maintain machine learning models in production environments.
  • Design and deliver machine learning training to build AI literacy and skills across Finance.
  • Coordinate and drive communications and training to support data democratization and GenAI skill building within Finance.
  • Assist with creating and maintaining a multi-year roadmap for Finance data and AI capabilities.
  • Collaborate with the Finance Transformation Data Strategy team and business partners to rationalize data and support a central data architecture.
  • Support development, documentation, and adherence to governance frameworks established by leadership.
  • Work with Finance leaders and stakeholders to identify, prioritize, and support delivery of data- and AI-driven opportunities; manage expectations and communicate progress and impact.
  • Promote a culture of innovation, delivery, and measurable business impact through mentorship and best practices.
  • Build relationships across Finance, BTS, and business unit teams to support coordination and adoption.
  • Ensure data is managed in compliance with regulations and company standards.

Benefits

  • Paid time off, including vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance.
  • 401(k).
  • Eligibility to participate in long-term incentive programs.
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