Senior Manager, AI Product Manager, Finance

AbbVie

Confirmed live today High trust

Quick summary

Work type
On-site
Location
North Chicago, IL
Salary
$124,500–$236,500 / yr
Posted
1 day ago
Freshness
Confirmed live today
Closes
Oct 9, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $180k
$111k $250k
below market most similar roles pay here above market

This role pays less than 67% of similar roles. Most pay $177,250–$227,377 — the blue band above. At the midpoint, this role pays about $180k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 158 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 148 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Senior Manager, AI Product Manager, Finance

The Senior Manager, AI Product Manager, Finance joins the Finance team to own the strategy, performance, governance, and value realization of a major portfolio of AI-enabled products. This leader serves as a strategic bridge between business sponsors and engineering teams, translating business needs into executable product roadmaps and multi-year visions. Key responsibilities include overseeing the full product lifecycle, managing portfolio scope and budget implications, and ensuring products deliver measurable outcomes like risk reduction and improved decision quality. The role requires expertise in artificial intelligence, machine learning, analytics, data platforms, and Agile delivery. Candidates must navigate complex domain contexts involving financial value creation, Responsible AI principles, and compliance. Success involves using tools like Jira or Azure DevOps to drive digital transformation while coaching product managers and ensuring audit-readiness across the enterprise.

What you'll do

  • Set the product vision, multi-year roadmap, and standards for AI-enabled products across the Finance team.
  • Identify high-impact AI opportunities to improve performance, decision quality, and risk reduction.
  • Oversee the full product lifecycle from opportunity framing and backlog prioritization through deployment and scaling.
  • Manage portfolio scope, budget implications, and dependencies across multiple engineering and business teams.
  • Communicate product vision, roadmap progress, and value realization to senior and executive leadership.
  • Ensure AI products comply with privacy standards, security protocols, and Responsible AI principles.
  • Measure product success through adoption metrics, productivity gains, and financial impact.
  • Coach and mentor Product Managers and analysts to establish best practices and product management standards.

What we're looking for

  • Bachelor's Degree in Business, Computer Science, Engineering, Information Systems, Data Science, or related fields plus 8 years’ experience.
  • Master’s Degree plus 7 years’ experience or PhD plus 3 years’ experience.
  • Experience in product management, technology strategy, digital transformation, analytics, or program leadership with ownership of large portfolios.
  • At least 3 years of experience leading AI, machine learning, analytics, automation, or digital products.
  • Proven ability to lead complex AI products from opportunity framing through delivery, scaling, and benefit realization.
  • Practical fluency in AI, machine learning, data platforms, architecture, user experience, and Agile delivery.
  • Demonstrated capability to embed privacy, security, quality, compliance, and model risk throughout the AI product lifecycle.
  • Experience establishing scalable product management practices and coaching Product Managers, Product Owners, and analysts.
  • Experience in healthcare, pharmaceuticals, life sciences, manufacturing, or supply chain environments with a focus on Finance (preferred).
  • Familiarity with Generative AI, machine learning, data platforms, LLMs, AI governance, and MLOps concepts (preferred).
  • Experience with Jira, Azure DevOps, Productboard, or similar product management tools (preferred).
  • MBA or advanced technical degree (preferred).

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