Data Science Lead Green Card Jobs
Data Science Lead roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no equally qualified U.S. worker is available. Most positions require a master's degree or equivalent, making EB-2 the common pathway. Sponsorship timelines vary significantly by country of birth.
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Get Access To All JobsABOUT 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.
JOB DESCRIPTION
As Data Science and AI Lead overseeing Platform, Governance, and Delivery for Data Science and AI solutions at AbbVie, you will lead a diverse team of data scientists responsible for designing, executing, and scaling data science solutions across the enterprise. Reporting into Operations Business Insights (OBI), you will establish and execute the vision and roadmap for a robust, agile, and compliant data science platform, ensuring strong governance practices and operational excellence in delivering impactful data science to drive innovation, performance, and agility company wide.
Leading a multifaceted team, you will have end-to-end accountability for platform strategy, stakeholder engagement, project delivery, and talent development. You will be expected to set the standard for technical and consulting excellence, foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, business partners, academic collaborators, and technology leaders.
Key Responsibilities:
-
Provide leadership in developing, maintaining, and governing the data science platform to enable secure, scalable, and compliant analytics throughout AbbVie’s global operations, spanning Supply Chain, Quality, Procurement, Manufacturing, and Science & Technology.
-
Oversee the delivery lifecycle from requirements discovery, solution design, and modeling through deployment and monitoring of productionized data science applications, studies, and proofs of concept by leading teams of diverse data scientists and analysts.
-
Lead and champion best practices in data governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GxP, master data management, data lineage, model validation, etc.).
-
Push forward with semantic engineering and agentic engineering, best practices and capability delivery to support more advanced AI use cases. Oversee architects involved in semantic and agentic engineering and solutioning.
-
Develop and promote advanced analytics capability, including supervised/unsupervised machine learning, deep learning, AI/ML platform services, and the enablement of novel AI applications such as RAG and semantic layering for human-in-the-loop systems.
-
Foster strategic partnerships with senior functional leaders, technology stakeholders, and external collaborators to accelerate the transfer of advanced methods into high-value business solutions.
-
Collaborate on group strategy and roadmap, enable cross-functional GenAI initiatives, and serve as a thought leader for education, awareness, and innovation in enterprise data science.
-
Ensure robust consulting, communication, and change management plans are in place to drive adoption of data science solutions at all organizational levels, including executive leadership.
-
Mentor, coach, and develop a diverse team, building a pipeline of talent that can take on increasingly complex projects and lead education initiatives (journal clubs, technical upskilling, peer review, etc.).
QUALIFICATIONS
Required:
- Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience.
- Significant experience leading multi-disciplinary teams delivering enterprise-scale data science platforms and applications, preferably in regulated industries such as pharmaceuticals, life sciences, or healthcare operations.
- Deep expertise in data science methods (ML, AI, statistics), modern data engineering (cloud, big data, pipeline orchestration), and business analytics, with mastery of tools such as Python, R, Dataiku, AWS SageMaker, Spark, Tableau, etc.
- Demonstrated ability to define and execute governance frameworks for data quality, master data, model lifecycle management, and regulatory compliance.
- Extensive consulting and stakeholder management experience, including effective communication of complex technical solutions to executive audiences and cross-functional business partners.
- Proven ability to drive innovation (strategy, whitepapers, roadmaps), develop cross-functional partnerships, and lead technology transfer initiatives to embed analytics into core business processes.
- Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning.
- Self-driven, highly adaptable, and able to quickly master new domains and tools in response to emerging business or technology trends.
Preferred:
- Experience delivering data science solutions in industry (non-academic settings strongly preferred), with demonstrated progression in leadership roles.
- Experience with data-driven transformation in Quality, Supply Chain, Procurement, or Central Operations within a large pharmaceutical or life sciences organization, and deep understanding of GxP practices.
- Background in technology innovation, MLOps, platform architecture, or boutique/strategy consulting with measurable stakeholder impact.
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 short-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
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
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.
JOB DESCRIPTION
As Data Science and AI Lead overseeing Platform, Governance, and Delivery for Data Science and AI solutions at AbbVie, you will lead a diverse team of data scientists responsible for designing, executing, and scaling data science solutions across the enterprise. Reporting into Operations Business Insights (OBI), you will establish and execute the vision and roadmap for a robust, agile, and compliant data science platform, ensuring strong governance practices and operational excellence in delivering impactful data science to drive innovation, performance, and agility company wide.
Leading a multifaceted team, you will have end-to-end accountability for platform strategy, stakeholder engagement, project delivery, and talent development. You will be expected to set the standard for technical and consulting excellence, foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, business partners, academic collaborators, and technology leaders.
Key Responsibilities:
-
Provide leadership in developing, maintaining, and governing the data science platform to enable secure, scalable, and compliant analytics throughout AbbVie’s global operations, spanning Supply Chain, Quality, Procurement, Manufacturing, and Science & Technology.
-
Oversee the delivery lifecycle from requirements discovery, solution design, and modeling through deployment and monitoring of productionized data science applications, studies, and proofs of concept by leading teams of diverse data scientists and analysts.
-
Lead and champion best practices in data governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GxP, master data management, data lineage, model validation, etc.).
-
Push forward with semantic engineering and agentic engineering, best practices and capability delivery to support more advanced AI use cases. Oversee architects involved in semantic and agentic engineering and solutioning.
-
Develop and promote advanced analytics capability, including supervised/unsupervised machine learning, deep learning, AI/ML platform services, and the enablement of novel AI applications such as RAG and semantic layering for human-in-the-loop systems.
-
Foster strategic partnerships with senior functional leaders, technology stakeholders, and external collaborators to accelerate the transfer of advanced methods into high-value business solutions.
-
Collaborate on group strategy and roadmap, enable cross-functional GenAI initiatives, and serve as a thought leader for education, awareness, and innovation in enterprise data science.
-
Ensure robust consulting, communication, and change management plans are in place to drive adoption of data science solutions at all organizational levels, including executive leadership.
-
Mentor, coach, and develop a diverse team, building a pipeline of talent that can take on increasingly complex projects and lead education initiatives (journal clubs, technical upskilling, peer review, etc.).
QUALIFICATIONS
Required:
- Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience.
- Significant experience leading multi-disciplinary teams delivering enterprise-scale data science platforms and applications, preferably in regulated industries such as pharmaceuticals, life sciences, or healthcare operations.
- Deep expertise in data science methods (ML, AI, statistics), modern data engineering (cloud, big data, pipeline orchestration), and business analytics, with mastery of tools such as Python, R, Dataiku, AWS SageMaker, Spark, Tableau, etc.
- Demonstrated ability to define and execute governance frameworks for data quality, master data, model lifecycle management, and regulatory compliance.
- Extensive consulting and stakeholder management experience, including effective communication of complex technical solutions to executive audiences and cross-functional business partners.
- Proven ability to drive innovation (strategy, whitepapers, roadmaps), develop cross-functional partnerships, and lead technology transfer initiatives to embed analytics into core business processes.
- Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning.
- Self-driven, highly adaptable, and able to quickly master new domains and tools in response to emerging business or technology trends.
Preferred:
- Experience delivering data science solutions in industry (non-academic settings strongly preferred), with demonstrated progression in leadership roles.
- Experience with data-driven transformation in Quality, Supply Chain, Procurement, or Central Operations within a large pharmaceutical or life sciences organization, and deep understanding of GxP practices.
- Background in technology innovation, MLOps, platform architecture, or boutique/strategy consulting with measurable stakeholder impact.
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 short-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
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
See all 933+ Data Science Lead jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Lead roles.
Get Access To All JobsTips for Finding Green Card Sponsorship in Data Science Lead
Document your advanced degree equivalency early
If your highest credential is a three-year bachelor's degree plus graduate coursework, get a credential evaluation before job searching. EB-2 PERM petitions require proof of an advanced degree, and gaps here stall the I-140 filing after an offer is already in hand.
Target employers with PERM filing history
Search DOL OFLC disclosure data to identify companies that have filed PERM applications for data science roles specifically, not just tech roles broadly. Employers already familiar with the process move faster and make fewer errors during the prevailing wage determination stage.
Use Migrate Mate to filter green-card-sponsoring employers
Filter your Data Science Lead job search on Migrate Mate to surface employers with active EB-2 and EB-3 sponsorship history. This cuts the time spent on companies that only sponsor H-1B and have no PERM infrastructure.
Clarify the SOC code before your offer letter is signed
Data Science Lead roles can be classified under multiple Standard Occupational Classification codes, which directly affects the prevailing wage DOL sets during PERM. Ask your recruiter which SOC code the job description will use and verify it against the OFLC Wage Search before accepting.
Negotiate for PERM filing within your first year
Many employers delay PERM until they're confident in your performance, but early filing protects your priority date. For applicants born in India or China, locking in an earlier priority date can mean years of difference in green card wait times at the EB-2 or EB-3 preference level.
Cross-check your job duties against O*NET before PERM advertising begins
PERM job postings must accurately reflect the minimum requirements for the role. Review the O*NET occupation profile for data science positions to ensure your employer's posted requirements align with the duties you'll actually perform, reducing the risk of a USCIS audit after filing.
Data Science Lead jobs are hiring across the US. Find yours.
Find Data Science Lead JobsData Science Lead Green Card Sponsorship: Frequently Asked Questions
Does a Data Science Lead role typically qualify for EB-2 or EB-3 sponsorship?
Most Data Science Lead positions qualify for EB-2 because they require a master's degree or a bachelor's degree plus substantial progressive experience in data science or a closely related field. If the employer is willing to set the minimum requirement at a bachelor's degree, EB-3 is also viable and may move faster for applicants from countries with shorter EB-3 backlogs.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B sponsorship is temporary and subject to an annual lottery, while EB-2 and EB-3 PERM sponsorship leads to permanent residency with no lottery. The PERM process requires your employer to run a formal recruitment campaign before USCIS filing, which typically adds six to twelve months to the overall timeline, but the outcome is a path to a green card rather than a renewable nonimmigrant status.
How long does the full green card process take for a Data Science Lead hired on PERM?
From PERM filing through I-140 approval and adjustment of status, the process typically takes two to four years for applicants born outside India and China. For Indian and Chinese nationals, employment-based backlogs at the EB-2 and EB-3 levels can extend the total wait significantly longer. Your priority date, established when PERM is filed, determines your place in the queue.
What documentation should I prepare before a Data Science Lead employer starts my PERM case?
Gather certified copies of all academic credentials, including transcripts and degree certificates, along with a detailed employment history showing progressive experience in data science. If you hold a three-year degree, obtain a credential evaluation from a NACES-approved evaluator early. USCIS may audit the I-140 petition, so your documentation needs to support every minimum requirement listed in the PERM job posting.
Where can I find Data Science Lead jobs where the employer already sponsors green cards?
Use Migrate Mate to search specifically for Data Science Lead roles where employers have a documented history of EB-2 and EB-3 PERM sponsorship. Searching broadly and then asking recruiters about green card sponsorship late in the process wastes time on companies that only offer H-1B support and have no PERM workflow in place.
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