Manager, Data & AI Acceleration

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
South San Francisco, CA
Salary
$109,500–$208,500 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Oct 9, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $159k
$94k $258k
below market most similar roles pay here above market

This role pays less than 80% of similar roles. Most pay $165,500–$241,750 — the blue band above. At the midpoint, this role pays about $159k versus about $204k 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 · Manager, Data & AI Acceleration

JOB TITLE: Manager - Data & AI Acceleration (Hybrid) The Manager - Data & AI Acceleration (Hybrid) joins the Data and AI Acceleration team to build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data and Statistical Sciences to support development decision-making. This role involves developing solutions for prioritized use cases, including R packages, interactive dashboards, and agentic AI frameworks. Key responsibilities include conducting feasibility assessments, architecting solution designs, creating benchmark test sets for output quality, and translating stakeholder requirements into production-ready tools. The position requires hands-on experience in R, agentic AI development, retrieval-augmented generation, and software engineering best practices like version control and CI/CD. The work focuses on solving technical problems within clinical development processes and trial design concepts to ensure analytical rigor and reproducibility.

What you'll do

  • Develop and maintain M&S and AI solutions including R packages, dashboards, and agentic AI frameworks.
  • Build tools that address adoption gaps and meet specific end-user needs within the DSS organization.
  • Conduct feasibility assessments and architect solution designs based on the specific requirements of the problem.
  • Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility.
  • Iterate on deployed tools based on user feedback, bug reports, and evolving requirements.
  • Translate stakeholder requirements into production-ready solutions through iterative development.

What we're looking for

  • Master’s degree with experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline with .
  • Strong hands-on development experience in R.
  • Experience building interactive dashboards and data applications.
  • Experience with agentic AI development, including tool-use agents, orchestration frameworks, and retrieval-augmented generation.
  • Good statistical knowledge to ensure analytical rigor in delivered solutions.
  • Familiarity with clinical development processes and trial design concepts.
  • Proficiency in software engineering best practices, including version control, testing, and CI/CD.
  • Good communication skills with the ability to collaborate iteratively with stakeholders.

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