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Associate Director, R&D Quality Transformation and Data Science

North Chicago, IL, United States

Live, first seen by us 27 days ago
Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Lead or support cross-functional transformation projects for R&D QA operations

  • Analyze survey, diagnostic and performance data to find root causes and priorities

  • Build business cases with financial modeling and scenario analysis

  • Develop functional KPIs and executive-level dashboards

  • Monitor initiative progress and risks, and report status to leaders

From the employer’s posting
Lead or support cross-functional transformation projects that improve quality operations, reporting, decision-making and ways of working.
Analyze survey, diagnostic, and performance data to identify trends, opportunities, and root causes
Support business cases through financial modeling, scenario analysis, quantitative benchmarking
Support development and refinement of functional KPIs and executive-level dashboards.
Monitor progress, risks, dependencies, and outcomes for assigned initiatives, and provide concise status updates and recommendations to leaders and stakeholders.

What you’ll bring

All qualifications

Core experience

  • 8+ years of progressive experience in data science, analytics, AI/ML, process improvement, transformation, or operational excellence within life sciences or another regulated industry.
  • Experience supporting or leading cross-functional initiatives in pharmaceutical, medical device, combination products, research, development, clinical operations, manufacturing, or quality environments.
  • Demonstrated ability to use data, analytics, and structured problem-solving to support process improvement and business decisions.
  • Understanding of quality systems, compliance expectations, and transformation/change management principles in regulated environments.
  • Strong communication, collaboration, and stakeholder engagement skills.
  • Ability to work effectively in a matrixed organization and influence without direct authority.
Qualification wording
8+ years of progressive experience in data science, analytics, AI/ML, process improvement, transformation, or operational excellence within life sciences or another regulated industry.
Experience supporting or leading cross-functional initiatives in pharmaceutical, medical device, combination products, research, development, clinical operations, manufacturing, or quality environments.
Demonstrated ability to use data, analytics, and structured problem-solving to support process improvement and business decisions.
Understanding of quality systems, compliance expectations, and transformation/change management principles in regulated environments.
Strong communication, collaboration, and stakeholder engagement skills.
Ability to work effectively in a matrixed organization and influence without direct authority.
Education & alternatives
Qualifications - Bachelors in Data Science, Statistics, Biostatistics, Applied Mathematics, Engineering, Life Sciences, or a related discipline required, advanced degree preferred. Candidates with a Life Sciences degree and an MBA or MS in Analytics are preferred. - 8+ years of progressive experience in data science, analytics, AI/ML, process improvement, transformation, or operational excellence within life sciences or another regulated industry.

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.

In the employer’s words · Read in context

Apply at AbbVie

Posting record

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Status in our records
Live
First seen by us
Oct 7, 202627 days ago
Recorded sightings
316
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 27

Similar jobs usually come down between day 7 and day 53.

From 7,854 similar postings that came down. Coming down is not always a hire.

AbbVie is hiring

85 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is steady
  • Takes jobs down quickly
  • 27% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Python
  • R
  • SQL
  • Power BI
  • Tableau
Where the posting names them
- Strong statistical proficiency, including regression analysis, Statistical Process Control (SPC/SQC), multivariate analysis, predictive modeling, and hypothesis testing. - Proficiency in Python, R, and/or SQL, plus experience with at least one BI/visualization platform (e.g., Power BI, Tableau, or equivalent). Additional Information

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Job Description

AbbVie is dedicated to delivering a consistent stream of innovative, safe, and effective medicines and products that solve serious health issues and have a remarkable impact on people's lives. As a quality organization in research development, R&D Quality Assurance is committed to driving quality excellence across all stages of discovery and development for the product's lifecycle to achieve product realization and accelerate access to innovative therapies and products for our patients.

Patient needs, stakeholder demands, industry innovation, the regulatory landscape, and AbbVie's business strategy continue to evolve rapidly. Emphasizing and embedding quality in the execution of clinical trials, post-market vigilance, and post-market studies helps assure patient safety, maintain data integrity, foster regulatory compliance, and contribute to the overall success of drug/device development programs.

The Associate Director, R&D Quality Transformation and Data Science supports the development and execution of transformation initiatives across R&D Quality Assurance, integrating digital capabilities, analytics (including AI/ML), process improvement, and operational best practices. This role helps enable the use of data, insights, and emerging technologies to improve quality processes, strengthen quality culture, and support continuous improvement efforts across the organization.

This position is suited for a collaborative and analytical leader passionate about improving how R&D QA operates through data-driven decision-making, process optimization, and change management. The role partners with leaders across R&D Quality Assurance and cross-functional stakeholders to help translate organizational feedback, diagnostic findings, and business needs into practical improvement initiatives. This role reports directly to the Sr. Director, R&D Quality Transformation & Data Science.

Primary Responsibilities

  1. Support the development and execution of a focused R&D QA transformation roadmap, including analytics, AI/ML, and operational excellence initiatives anchored to organization-wide priorities, regulatory requirements, and diagnostic insights.
  2. Analyze survey, diagnostic, and performance data to identify trends, opportunities, and root causes, and help prioritize improvement actions targeting both quality culture and business operations.
  3. Lead or support cross-functional transformation projects that improve quality operations, reporting, decision-making and ways of working.
  4. Partner with and across R&D QA, IT, and R&D, to implement improvements and support adoption of new tools, methods, and operating models.
  5. Contribute to the use of advanced analytics, automation, and AI/ML-enabled solutions to improve efficiency, consistency and insight generation.
  6. Support development and refinement of functional KPIs and executive-level dashboards.
  7. Support business cases through financial modeling, scenario analysis, quantitative benchmarking, and clear articulation of strategic and operational value.
  8. Translate quality and operational data into clear business value narratives, including benefits, cost avoidance, and operational impact of selected improvement initiatives.
  9. Monitor progress, risks, dependencies, and outcomes for assigned initiatives, and provide concise status updates and recommendations to leaders and stakeholders.
  10. Promote collaboration, change management, continuous improvement, and capability building in digital tools, analytics, and process excellence across R&D QA.

    Qualifications

    • Bachelors in Data Science, Statistics, Biostatistics, Applied Mathematics, Engineering, Life Sciences, or a related discipline required, advanced degree preferred. Candidates with a Life Sciences degree and an MBA or MS in Analytics are preferred.
    • 8+ years of progressive experience in data science, analytics, AI/ML, process improvement, transformation, or operational excellence within life sciences or another regulated industry.
    • Experience supporting or leading cross-functional initiatives in pharmaceutical, medical device, combination products, research, development, clinical operations, manufacturing, or quality environments.
    • Demonstrated ability to use data, analytics, and structured problem-solving to support process improvement and business decisions.
    • Understanding of quality systems, compliance expectations, and transformation/change management principles in regulated environments.
    • Strong communication, collaboration, and stakeholder engagement skills.
    • Ability to work effectively in a matrixed organization and influence without direct authority.
    • Demonstrated expertise in designing and implementing KPI frameworks, balanced scorecards, or enterprise performance management systems.
    • Strong statistical proficiency, including regression analysis, Statistical Process Control (SPC/SQC), multivariate analysis, predictive modeling, and hypothesis testing.
    • Proficiency in Python, R, and/or SQL, plus experience with at least one BI/visualization platform (e.g., Power BI, Tableau, or equivalent).

    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 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

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

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    North Chicago, IL, United States

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