Director Of Data Analytics Jobs in USA with Visa Sponsorship
Director of Data Analytics roles qualify as specialty occupations under the H-1B visa, making them strong candidates for visa sponsorship. Employers must file a Labor Condition Application with the DOL before sponsoring, and most large analytics-driven companies have active LCA filing histories. F-1 graduates with STEM degrees can bridge to H-1B through STEM OPT. For detailed occupation requirements, see the O*NET profile.
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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
Role Summary: The Director II, Enterprise Data and Analytics Products plays a critical role in shaping how U.S. Commercial Therapeutics converts investments in data, analytics, and AI into scalable solutions that deliver measurable value. Serving as the strategic "front door" to the APEX Business Units for all Data and Analytics products, this leader will lead the newly formed enterprise data and analytics product organization.
This individual owns enterprise demand, portfolio-level prioritization, and the 3-year capability roadmap. By leading a team of dedicated Product Owners managing flagship assets (e.g., Customer Engagement, Marketing Mix, Insights Marketplace, and business-facing data products), this leader ensures that capability development is driven by business value rather than fragmented functional requests. This role partners deeply with the Data Science and Data Management teams via a committed, cross-functional pod model—owning what gets built, for whom, and in what order, while technical partners own how it is built. Ultimately, this leader is measured not by delivery volume, but by commercial adoption, seamless integration into BU workflows, and business impact.
Responsibilities:
- Enterprise Portfolio & Demand Management: Lead enterprise portfolio prioritization across data and analytics products, establishing a rigorous intake and decision framework that aligns demand, capacity, technical feasibility, and commercial value.
- Product Organization Leadership: Direct a team of dedicated Product Owners who hold end-to-end accountability for data and analytics products. Guide AI-enabled capabilities through the full product lifecycle, utilizing rapid experimentation and evidence-based iteration from concept through launch, enhancement, and eventual retirement.
- Data Product and Semantic Strategy: Lead the product strategy for business-facing data products, semantic capabilities, and insight-delivery platforms. Establish clear ownership of business definitions, product requirements, and fit-for-purpose data needs to enable trusted, reusable, and AI-ready commercial capabilities.
- AI Workflow & Autonomy Design: Design commercial workflows for AI-enabled capabilities. Establish clear autonomy boundaries, decision rights, oversight mechanisms, and escalation paths. Partner with Data Science and BTS leaders to define product-level safety and evaluation requirements, ensuring strict alignment with enterprise Responsible AI standards.
- Cross-Functional Pod Orchestration: Partner with Data Science, Data Management, and BTS to secure the technical capacity required to execute each roadmap. Product teams own what is built, for whom, and how it is delivered to users; technical partners own how the underlying data, models, platforms, and operations are engineered and sustained.
- Value Origination & Business Casing: Deeply understand U.S. Commercial strategic priorities and translate them into a forward-looking capability roadmap. Define the financial business cases for new capabilities, clearly articulating how proposed solutions will generate revenue and competitive advantage.
- Strategic BU & BTS Liaison: Establish a consistent engagement model for APEX Business Units across the data and analytics product portfolio, reducing fragmented request routing and creating clear visibility into product roadmaps, priorities, and delivery tradeoffs.
- Drive Change & Adoption: Lead adoption and value-realization strategies for the product portfolio, partnering with APEX Business Units and functional capability leaders to embed new platforms, AI-enabled solutions, and insights into commercial workflows and decision-making.
- External Strategy & Consulting Innovation: Identify and selectively engage external consultancies, technology partners, and specialized experts to accelerate strategic capability design, bring outside-in perspective, and test emerging approaches where internal capabilities or experience are limited.
Qualifications
- Bachelor's degree in a quantitative discipline, business, economics, or related field; MBA or advanced degree strongly preferred.
- 15+ years of related professional experience, with a strong background in commercial strategy, enterprise product management, data strategy, or analytics translation within the Pharmaceutical/Life Sciences industry.
- Proven track record of connecting data, analytics, and AI capabilities to measurable commercial revenue and business value generation.
- Experience leading data, analytics, digital, or AI product portfolios, including demand management, product roadmapping, adoption, and value realization.
- Experience leading enterprise product management organizations, portfolio prioritization, or operating within an agile, cross-functional delivery model.
- Exceptional executive presence and collaboration skills, with the ability to influence and align senior stakeholders across matrixed business units (APEX Business Units) and technology teams (BTS) without direct authority.
- Deep fluency in modern data strategy, omnichannel execution, and advanced analytics, enabling effective translation between highly technical data science teams and commercial brand leadership.
- Strategic leader capable of navigating ambiguity, managing complex cross-functional initiatives, and driving scalable innovation to address evolving business needs.
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.
Job Description
Role Summary: The Director II, Enterprise Data and Analytics Products plays a critical role in shaping how U.S. Commercial Therapeutics converts investments in data, analytics, and AI into scalable solutions that deliver measurable value. Serving as the strategic "front door" to the APEX Business Units for all Data and Analytics products, this leader will lead the newly formed enterprise data and analytics product organization.
This individual owns enterprise demand, portfolio-level prioritization, and the 3-year capability roadmap. By leading a team of dedicated Product Owners managing flagship assets (e.g., Customer Engagement, Marketing Mix, Insights Marketplace, and business-facing data products), this leader ensures that capability development is driven by business value rather than fragmented functional requests. This role partners deeply with the Data Science and Data Management teams via a committed, cross-functional pod model—owning what gets built, for whom, and in what order, while technical partners own how it is built. Ultimately, this leader is measured not by delivery volume, but by commercial adoption, seamless integration into BU workflows, and business impact.
Responsibilities:
- Enterprise Portfolio & Demand Management: Lead enterprise portfolio prioritization across data and analytics products, establishing a rigorous intake and decision framework that aligns demand, capacity, technical feasibility, and commercial value.
- Product Organization Leadership: Direct a team of dedicated Product Owners who hold end-to-end accountability for data and analytics products. Guide AI-enabled capabilities through the full product lifecycle, utilizing rapid experimentation and evidence-based iteration from concept through launch, enhancement, and eventual retirement.
- Data Product and Semantic Strategy: Lead the product strategy for business-facing data products, semantic capabilities, and insight-delivery platforms. Establish clear ownership of business definitions, product requirements, and fit-for-purpose data needs to enable trusted, reusable, and AI-ready commercial capabilities.
- AI Workflow & Autonomy Design: Design commercial workflows for AI-enabled capabilities. Establish clear autonomy boundaries, decision rights, oversight mechanisms, and escalation paths. Partner with Data Science and BTS leaders to define product-level safety and evaluation requirements, ensuring strict alignment with enterprise Responsible AI standards.
- Cross-Functional Pod Orchestration: Partner with Data Science, Data Management, and BTS to secure the technical capacity required to execute each roadmap. Product teams own what is built, for whom, and how it is delivered to users; technical partners own how the underlying data, models, platforms, and operations are engineered and sustained.
- Value Origination & Business Casing: Deeply understand U.S. Commercial strategic priorities and translate them into a forward-looking capability roadmap. Define the financial business cases for new capabilities, clearly articulating how proposed solutions will generate revenue and competitive advantage.
- Strategic BU & BTS Liaison: Establish a consistent engagement model for APEX Business Units across the data and analytics product portfolio, reducing fragmented request routing and creating clear visibility into product roadmaps, priorities, and delivery tradeoffs.
- Drive Change & Adoption: Lead adoption and value-realization strategies for the product portfolio, partnering with APEX Business Units and functional capability leaders to embed new platforms, AI-enabled solutions, and insights into commercial workflows and decision-making.
- External Strategy & Consulting Innovation: Identify and selectively engage external consultancies, technology partners, and specialized experts to accelerate strategic capability design, bring outside-in perspective, and test emerging approaches where internal capabilities or experience are limited.
Qualifications
- Bachelor's degree in a quantitative discipline, business, economics, or related field; MBA or advanced degree strongly preferred.
- 15+ years of related professional experience, with a strong background in commercial strategy, enterprise product management, data strategy, or analytics translation within the Pharmaceutical/Life Sciences industry.
- Proven track record of connecting data, analytics, and AI capabilities to measurable commercial revenue and business value generation.
- Experience leading data, analytics, digital, or AI product portfolios, including demand management, product roadmapping, adoption, and value realization.
- Experience leading enterprise product management organizations, portfolio prioritization, or operating within an agile, cross-functional delivery model.
- Exceptional executive presence and collaboration skills, with the ability to influence and align senior stakeholders across matrixed business units (APEX Business Units) and technology teams (BTS) without direct authority.
- Deep fluency in modern data strategy, omnichannel execution, and advanced analytics, enabling effective translation between highly technical data science teams and commercial brand leadership.
- Strategic leader capable of navigating ambiguity, managing complex cross-functional initiatives, and driving scalable innovation to address evolving business needs.
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
See all 3,908+ Director Of Data Analytics Jobs
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Get Access To All JobsTips for Finding Director Of Data Analytics Jobs
Frame your degree for specialty occupation
A Director of Data Analytics role requires a directly related degree, such as statistics, computer science, or applied mathematics, to meet the H-1B specialty occupation standard. A general business degree without a quantitative concentration can trigger an RFE from USCIS.
Use OFLC data to benchmark your offer
Before accepting an offer, run your job title and location through the OFLC Wage Search to verify the offered wage meets at least Level II or Level III prevailing wage. A wage below the certified LCA level is a compliance violation that can void your sponsorship.
Target companies with active LCA filing history
Analytics director roles are sponsored most consistently by tech, finance, and healthcare employers with dedicated data infrastructure teams. Use Migrate Mate to identify companies with verified LCA filings for data analytics leadership roles in your target city.
Anticipate the PERM labor certification timeline
If your employer plans to sponsor a green card through EB-2 or EB-3, PERM labor certification can take 12 to 18 months before the I-140 petition is even filed. Raise this timeline in offer negotiations so your employer starts the process before your H-1B term runs short.
Align your O*NET profile with the job description
Employers must demonstrate that your Director of Data Analytics role matches a recognized specialty occupation. Confirm your duties align with the O*NET profile for your occupation before your employer drafts the LCA, since duties listed in the job posting carry weight in USCIS adjudication.
Negotiate who covers H-1B filing fees
Some H-1B filing fees are legally required to be paid by the employer, but attorney fees and premium processing costs are often negotiable. Clarify during the offer stage which costs your employer covers, since premium processing, which speeds USCIS adjudication, adds material cost your employer may or may not absorb.
Frequently Asked Questions
Does a Director of Data Analytics role qualify as an H-1B specialty occupation?
Yes. A Director of Data Analytics position qualifies as a specialty occupation because it typically requires at least a bachelor's degree in a directly related field such as statistics, data science, computer science, or applied mathematics. Roles that list a general degree as sufficient without a quantitative discipline can face scrutiny from USCIS, so the job description must reflect the degree-specific nature of the work.
Which visa types support sponsorship for director-level analytics roles?
H-1B is the most common path, covering specialty occupation roles and granting up to three years of initial status, extendable to six. Singaporean nationals can use the H-1B1 visa, and Australian nationals can use the E-3 visa, both of which also require a specialty occupation and an employer-filed LCA but are not subject to the H-1B lottery. EB-2 green card sponsorship is also standard for director-level positions requiring an advanced degree.
How do I find employers actively sponsoring Director of Data Analytics roles?
Migrate Mate lists U.S. employers with verified LCA sponsorship history for data analytics roles, searchable by location and seniority level. This lets you focus your applications on companies that have already committed to sponsoring similar positions rather than approaching employers with no documented sponsorship track record.
Can an F-1 student on STEM OPT hold a director-level analytics role?
Yes, provided the role is directly related to your STEM-designated degree. STEM OPT extends your F-1 work authorization by 24 months, and your employer must be enrolled in E-Verify and sign a Form I-983 training plan. Director-level responsibilities are permissible during STEM OPT as long as the position maps to your field of study and the training plan accurately reflects your duties.
What degree background does USCIS expect for a Director of Data Analytics H-1B petition?
USCIS expects the position to require, at minimum, a bachelor's degree in a field directly related to the role's core duties. For a data analytics director, that typically means degrees in statistics, mathematics, computer science, information systems, or engineering. Degrees in business administration or management without a quantitative concentration are more likely to generate a Request for Evidence, so your employer's attorney should document the degree-to-duties connection explicitly in the petition.
What is the prevailing wage requirement for sponsored Director Of Data Analytics jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.