Data Science Manager Jobs
Data Science Manager jobs are open across technology, finance, healthcare, and retail, at every level from senior individual contributor to principal and director, with specializations in machine learning, analytics engineering, and applied research. Find a role that fits from the openings below and apply directly.
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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 Description
The Clinical Data Strategy and Operations (CDSO) DMO Lead or Clinical Data Scientist (CDS) serves as the data management domain expert and key strategic partner to the clinical study team. This role owns the data collection strategy, drives implementation, oversees data quality delivery, and supports on-time achievement of key study milestones. As the Data Operations single point of contact for cross-functional stakeholders, the DMO Lead or CDS applies strong project management, risk oversight, and continuous process optimization to enable data quality, inspection readiness, and successful trial delivery.
Responsibilities:
- Serves as the CDSO data management subject matter expert and single point of contact for assigned studies, owning data collection, data cleaning, and database lock strategies to enable high-quality, inspection-ready study delivery.
- Leads risk-based and continuous data review strategies from study start-up through database lock, leveraging centralized monitoring, statistical review, and clinical data science methodologies to proactively identify and mitigate study risks.
- Triages data quality standards across studies to identify trends, drive site-level actions through effective cross-functional communication, and maintain data currency in support of timely, reliable study decisions.
- Interprets clinical and operational data, quality metrics, predictive signals, and dashboard outputs to develop data-driven recommendations that strengthen study execution, risk management, patient safety oversight, and quality across the clinical development lifecycle.
- Contributes to defining, managing, and monitoring data-driven protocol deviations.
- Defines and manages study data flow and triages issues from raw EDC data through mapped SDTM data, partnering with internal technology teams, service providers, and vendors to drive timely mitigation and support end-to-end data integrity.
- Performs data mining and custom analytics, gathers business requirements for study dashboards, and generates operational metrics that support study decisions.
- Ensures adherence to federal and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie SOPs, and functional quality standards; stays abreast of evolving guidance.
- Influences cross-functional stakeholders without direct authority, aligning clinical, statistical, medical, safety, regulatory, technology, and vendor organizations around data-driven decisions and clinical data science strategies.
- Leads CDSO innovation and process improvement initiatives and participates in cross-functional efforts that improve operational effectiveness, scalability, and study delivery quality.
- Coaches and mentors team members.
Qualifications
- Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent. Masters preferred.
- Must have 6+ years of pharma / clinical research / data management / health care experience or 8+ years of project management experience (and / or applicable work experience).
- In-depth understanding of clinical trial processes and clinical technology. Management of a clinical trial from initiation through to completion in a lead role is preferred.
- Demonstrated performance as a functional leader
- Demonstrated ability to influence others without direct authority
- Demonstrated ability to successfully coach / mentor in a matrix environment
- Demonstrated effective communication skills
- Demonstrated effective analytical skills
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
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 Description
The Clinical Data Strategy and Operations (CDSO) DMO Lead or Clinical Data Scientist (CDS) serves as the data management domain expert and key strategic partner to the clinical study team. This role owns the data collection strategy, drives implementation, oversees data quality delivery, and supports on-time achievement of key study milestones. As the Data Operations single point of contact for cross-functional stakeholders, the DMO Lead or CDS applies strong project management, risk oversight, and continuous process optimization to enable data quality, inspection readiness, and successful trial delivery.
Responsibilities:
- Serves as the CDSO data management subject matter expert and single point of contact for assigned studies, owning data collection, data cleaning, and database lock strategies to enable high-quality, inspection-ready study delivery.
- Leads risk-based and continuous data review strategies from study start-up through database lock, leveraging centralized monitoring, statistical review, and clinical data science methodologies to proactively identify and mitigate study risks.
- Triages data quality standards across studies to identify trends, drive site-level actions through effective cross-functional communication, and maintain data currency in support of timely, reliable study decisions.
- Interprets clinical and operational data, quality metrics, predictive signals, and dashboard outputs to develop data-driven recommendations that strengthen study execution, risk management, patient safety oversight, and quality across the clinical development lifecycle.
- Contributes to defining, managing, and monitoring data-driven protocol deviations.
- Defines and manages study data flow and triages issues from raw EDC data through mapped SDTM data, partnering with internal technology teams, service providers, and vendors to drive timely mitigation and support end-to-end data integrity.
- Performs data mining and custom analytics, gathers business requirements for study dashboards, and generates operational metrics that support study decisions.
- Ensures adherence to federal and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie SOPs, and functional quality standards; stays abreast of evolving guidance.
- Influences cross-functional stakeholders without direct authority, aligning clinical, statistical, medical, safety, regulatory, technology, and vendor organizations around data-driven decisions and clinical data science strategies.
- Leads CDSO innovation and process improvement initiatives and participates in cross-functional efforts that improve operational effectiveness, scalability, and study delivery quality.
- Coaches and mentors team members.
Qualifications
- Bachelor’s degree in business, management information systems, computer science, life sciences or equivalent. Masters preferred.
- Must have 6+ years of pharma / clinical research / data management / health care experience or 8+ years of project management experience (and / or applicable work experience).
- In-depth understanding of clinical trial processes and clinical technology. Management of a clinical trial from initiation through to completion in a lead role is preferred.
- Demonstrated performance as a functional leader
- Demonstrated ability to influence others without direct authority
- Demonstrated ability to successfully coach / mentor in a matrix environment
- Demonstrated effective communication skills
- Demonstrated effective analytical skills
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
Data Science Manager Jobs by Experience Level
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Find Data Science Manager JobsData Science Manager Job Market
Who's Hiring
- Amazon33
- Capital One18
- Walmart16
- Deloitte12
- TikTok10
Top Industries Hiring
- Technology & Software45
- Education23
- Retail13
- Banking & Financial Services13
- Insurance9
What Employers Look For
The qualifications that appear most often in data science manager jobs.
- 5+ years of experience in data science or machine learning with at least 2 years managing a team
- Proficiency in Python or R and familiarity with SQL for data querying and analysis
- Experience deploying machine learning models in production environments at scale
- Ability to communicate data science findings clearly to non-technical executive stakeholders
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
Tips for Your Data Science Manager Job Search
Quantify your team leadership impact
Hiring managers for data science manager roles want to see how many data scientists you've managed, what projects you shipped, and what business outcomes resulted. Replace vague statements with numbers tied to team size, model performance, or revenue impact.
Tailor your resume to the stack
Many data science manager postings call out specific tools like Python, Spark, or dbt alongside cloud platforms. Mirror the exact tools named in each job description so your resume clears automated filters before a human ever reads it.
Apply early to roles that fit
Migrate Mate lists data science manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies with mature data teams
A data science manager role at a company with five data scientists is very different from one with fifty. Look for job descriptions that mention existing team structure, cross-functional partners, and data infrastructure, so you know what you're stepping into.
Prepare a technical leadership case study
Interviewers for data science manager roles routinely ask you to walk through a project end to end, covering how you set direction, unblocked your team, and communicated results to non-technical stakeholders. Prepare one detailed example before your first round.
Negotiate scope, not just compensation
When you get an offer, ask explicitly about team headcount, budget authority, and whether the role has input on hiring. These structural factors determine your ability to deliver, and they're often adjustable even when base compensation isn't.
Data Science Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data science managers?
The companies hiring the most data science managers right now include Amazon, Capital One, and Walmart, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in technology, financial services, and healthcare organizations that have scaled their data teams in recent years.
How many data science manager jobs are remote?
About 65% of data science manager openings are fully remote or hybrid as of September 2026, reflecting strong employer flexibility for senior technical leadership roles. Sub-areas focused on analytics engineering and machine learning platform work tend to have the highest share of remote-friendly postings compared to roles tied to embedded product teams.
How do you become a data science manager?
You typically move into a data science manager role by first building deep technical credibility as a senior data scientist, then taking on informal leadership like mentoring junior teammates or owning a cross-functional project. From there, expressing interest in people management to your director, volunteering to lead a small team during a product launch, and demonstrating you can translate data work into business outcomes are the most direct paths to a formal manager title.
Can you get hired as a data science manager without prior management experience?
Yes, some companies hire strong senior individual contributors into their first data science manager role, especially at startups or in teams building out a new function. The strongest candidates without formal management history show they've led projects, mentored others, driven cross-functional alignment, and influenced decisions above their official level, which signals readiness to take on direct reports.
What does the data science manager interview process look like?
The data science manager interview process typically includes an initial recruiter screen, a hiring manager conversation focused on your leadership philosophy and team experience, a technical assessment covering modeling or analytical judgment, a case study or take-home project, and a final panel with cross-functional stakeholders such as product, engineering, or finance partners. Some companies add a separate session specifically on how you've handled underperformance or built team culture.
Where can I find and apply to data science manager jobs?
You can find and apply to data science manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the page.
See All 655+ Data Science Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs