Data Manager Visa Sponsorship Jobs in New Jersey
Data manager roles in New Jersey draw strong interest from international candidates, with major employers concentrated in Jersey City, Newark, and Princeton spanning finance, pharmaceuticals, and technology. Firms like Johnson & Johnson, Cognizant, and major financial institutions along the Hudson waterfront regularly hire data managers and have established visa sponsorship programs.
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Get Access To All JobsJob Title: Enterprise Data Strategy Lead
- Location: Morristown, NJ
About the Job
Sanofi is entering one of the most exciting chapters in its history, with the most robust pipeline and forthcoming product launches the company has ever seen. The Enterprise Data Strategy Lead is a pivotal role within Sanofi's Digital Real World Data & Healthcare Intelligence organization that facilitates data strategy, enables the requirements gathering framework, and authors the multi-year roadmap for data archetypes spanning R&D, Medical Affairs, Launch Excellence, Discovery, and Commercial functions. This individual authors the multi-year data roadmap that turns fragmented data assets into decision-grade insights, prioritizing data that powers brand strategy, medical strategy, market access, competitive intelligence, forecasting, and patient and healthcare provider segmentation, while ensuring alignment with R&D, Medical Affairs, and Launch Excellence needs. Leading Agile and matrixed teams, the Enterprise Data Strategy Lead manages the assessment of current data capabilities, conducts gap analyses, and executes the RWD & HI data strategy framework to define data standards that inform commercial decisions, brand performance, market access, launch readiness, medical strategy, regulatory submissions, and pipeline strategy. Operating with a One Sanofi mindset, this individual bridges global and local market responsibilities, engaging senior leaders across R&D, Commercial, Market Access, Medical Affairs, Launch Excellence, HEVA, Data Privacy/Legal, Procurement, Local Market Leads, and Digital to translate complex data needs into impactful multi-year data roadmaps.
Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.
About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve lives.
Main Responsibilities
- Define and deliver the enterprise data strategy with multi-year roadmaps that prioritize insights and analytics generation across all business functions.
- Partner with cross-functional stakeholders (R&D, Medical Affairs, Commercial, Safety, Brand Teams) to identify, assess, and prioritize data requirements and use cases such as patient journey mapping, competitive intelligence, provider segmentation, new product forecasting, unbranded and branded launch activities.
- Identify and evaluate commercial and real-world data sources including social listening platforms, specialty pharmacy, reference lab data sets, customer relationship management platforms, open/closed claims, EMR/EHR, disease registries, and competitive intelligence platforms for fitness-for-purpose.
- Conduct enterprise-wide data and analytics assessments and gap analyses to evaluate current insight-generation capabilities against business requirements.
- Facilitate cross-functional collaboration and investment governance, coordinating with Digital and Procurement to optimize data investments, prevent duplication, and maximize value.
About You
Basic Qualifications
- Bachelor's degree required in a quantitative discipline, data science, business administration, health informatics, epidemiology, business, life sciences, or related fields; advanced degree preferred.
- 4+ years of pharmaceutical or biopharma industry experience required, with significant time in Go-to-Market insights & analytics, Launch Excellence or market access functions.
- 2+ years in data strategy, Go-to-Market data strategy, launch readiness strategy, new product data strategy, or RWD/RWE leadership required.
Preferred Qualifications
- Proven track record delivering enterprise data strategies and generating insights that drive business decisions across diverse, cross-functional stakeholder groups.
- Experience conducting data needs assessments, gap analyses, and strategic roadmap development.
- Demonstrated ability to translate business requirements into data-driven insights, strategic priorities, and investment decisions.
- Strong understanding of commercial data ecosystems and market access analytics, with familiarity of regulatory considerations for real-world evidence (FDA, EMA, ICH).
- Demonstrated ability to lead through influence in complex, matrixed environments.
- Therapeutic area expertise in one or more of the following strongly preferred: Immunology, Rare Disease, Hematology-Oncology, Type 1 Diabetes, Transplant, or Specialty Care.
Technical Knowledge
(Supporting analytics and data engineering teams; hands-on execution a plus but not required)
- Familiarity with commercial and external data sources and fit-for-purpose applications: formulatory data, sales/CRM, open/closed claims (IQVIA, STATinMED, Merative), EHR (TriNetX), specialty pharmacy, patient/consumer data, disease registries, PROs, and SDOH, wearables, strongly preferred.
- Competitive intelligence platform evaluation (AlphaSense, Clarivate, Evaluate & Citeline) including identification of key use cases and their data requirements, strongly preferred.
- Familiarity with launch readiness analytics and insight methodologies: patient journey and funnel analytics, market and brand performance analysis, segmentation, forecasting, and comparative effectiveness research.
- Familiarity with data models and standards (e.g., OHDSI OMOP) and modern cloud data platforms (e.g. Snowflake, AWS Sagemaker).
- Familiarity with advanced analytics and AI/ML/LLM applications including predictive modeling, NLP for unstructured data mining, and signal detection.
- Familiarity with SQL and/or Python plus AI-assisted coding (e.g. Cursor, Claude, OpenWork); ability to engage technically with analytics and data engineering teams.
Personal Attributes
- Strategic thinker who identifies data needs, gaps, and opportunities and drives enterprise strategy to generate high-impact insights.
- Exceptional ability to translate complex commercial questions into clear insights, strategic priorities, and investment decisions.
- Influential team player who drives execution across a highly matrixed organization, setting direction, enabling teams, and governing quality.
- Strong commercial and business acumen with the ability to balance competing stakeholder needs across a global enterprise.
- High learning agility, intellectual curiosity, and strong emotional intelligence.
- Commitment to scientific rigor, regulatory compliance, and ethical use of data.
Why choose us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
- Make your work count by supporting a company that brings life-changing treatments to millions — and is committed to doing right by patients, communities, and the planet.
- Drive Progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.
- Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Job Title: Enterprise Data Strategy Lead
- Location: Morristown, NJ
About the Job
Sanofi is entering one of the most exciting chapters in its history, with the most robust pipeline and forthcoming product launches the company has ever seen. The Enterprise Data Strategy Lead is a pivotal role within Sanofi's Digital Real World Data & Healthcare Intelligence organization that facilitates data strategy, enables the requirements gathering framework, and authors the multi-year roadmap for data archetypes spanning R&D, Medical Affairs, Launch Excellence, Discovery, and Commercial functions. This individual authors the multi-year data roadmap that turns fragmented data assets into decision-grade insights, prioritizing data that powers brand strategy, medical strategy, market access, competitive intelligence, forecasting, and patient and healthcare provider segmentation, while ensuring alignment with R&D, Medical Affairs, and Launch Excellence needs. Leading Agile and matrixed teams, the Enterprise Data Strategy Lead manages the assessment of current data capabilities, conducts gap analyses, and executes the RWD & HI data strategy framework to define data standards that inform commercial decisions, brand performance, market access, launch readiness, medical strategy, regulatory submissions, and pipeline strategy. Operating with a One Sanofi mindset, this individual bridges global and local market responsibilities, engaging senior leaders across R&D, Commercial, Market Access, Medical Affairs, Launch Excellence, HEVA, Data Privacy/Legal, Procurement, Local Market Leads, and Digital to translate complex data needs into impactful multi-year data roadmaps.
Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.
About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve lives.
Main Responsibilities
- Define and deliver the enterprise data strategy with multi-year roadmaps that prioritize insights and analytics generation across all business functions.
- Partner with cross-functional stakeholders (R&D, Medical Affairs, Commercial, Safety, Brand Teams) to identify, assess, and prioritize data requirements and use cases such as patient journey mapping, competitive intelligence, provider segmentation, new product forecasting, unbranded and branded launch activities.
- Identify and evaluate commercial and real-world data sources including social listening platforms, specialty pharmacy, reference lab data sets, customer relationship management platforms, open/closed claims, EMR/EHR, disease registries, and competitive intelligence platforms for fitness-for-purpose.
- Conduct enterprise-wide data and analytics assessments and gap analyses to evaluate current insight-generation capabilities against business requirements.
- Facilitate cross-functional collaboration and investment governance, coordinating with Digital and Procurement to optimize data investments, prevent duplication, and maximize value.
About You
Basic Qualifications
- Bachelor's degree required in a quantitative discipline, data science, business administration, health informatics, epidemiology, business, life sciences, or related fields; advanced degree preferred.
- 4+ years of pharmaceutical or biopharma industry experience required, with significant time in Go-to-Market insights & analytics, Launch Excellence or market access functions.
- 2+ years in data strategy, Go-to-Market data strategy, launch readiness strategy, new product data strategy, or RWD/RWE leadership required.
Preferred Qualifications
- Proven track record delivering enterprise data strategies and generating insights that drive business decisions across diverse, cross-functional stakeholder groups.
- Experience conducting data needs assessments, gap analyses, and strategic roadmap development.
- Demonstrated ability to translate business requirements into data-driven insights, strategic priorities, and investment decisions.
- Strong understanding of commercial data ecosystems and market access analytics, with familiarity of regulatory considerations for real-world evidence (FDA, EMA, ICH).
- Demonstrated ability to lead through influence in complex, matrixed environments.
- Therapeutic area expertise in one or more of the following strongly preferred: Immunology, Rare Disease, Hematology-Oncology, Type 1 Diabetes, Transplant, or Specialty Care.
Technical Knowledge
(Supporting analytics and data engineering teams; hands-on execution a plus but not required)
- Familiarity with commercial and external data sources and fit-for-purpose applications: formulatory data, sales/CRM, open/closed claims (IQVIA, STATinMED, Merative), EHR (TriNetX), specialty pharmacy, patient/consumer data, disease registries, PROs, and SDOH, wearables, strongly preferred.
- Competitive intelligence platform evaluation (AlphaSense, Clarivate, Evaluate & Citeline) including identification of key use cases and their data requirements, strongly preferred.
- Familiarity with launch readiness analytics and insight methodologies: patient journey and funnel analytics, market and brand performance analysis, segmentation, forecasting, and comparative effectiveness research.
- Familiarity with data models and standards (e.g., OHDSI OMOP) and modern cloud data platforms (e.g. Snowflake, AWS Sagemaker).
- Familiarity with advanced analytics and AI/ML/LLM applications including predictive modeling, NLP for unstructured data mining, and signal detection.
- Familiarity with SQL and/or Python plus AI-assisted coding (e.g. Cursor, Claude, OpenWork); ability to engage technically with analytics and data engineering teams.
Personal Attributes
- Strategic thinker who identifies data needs, gaps, and opportunities and drives enterprise strategy to generate high-impact insights.
- Exceptional ability to translate complex commercial questions into clear insights, strategic priorities, and investment decisions.
- Influential team player who drives execution across a highly matrixed organization, setting direction, enabling teams, and governing quality.
- Strong commercial and business acumen with the ability to balance competing stakeholder needs across a global enterprise.
- High learning agility, intellectual curiosity, and strong emotional intelligence.
- Commitment to scientific rigor, regulatory compliance, and ethical use of data.
Why choose us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
- Make your work count by supporting a company that brings life-changing treatments to millions — and is committed to doing right by patients, communities, and the planet.
- Drive Progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.
- Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Data Manager Job Roles in New Jersey
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Search Data Manager Jobs in New JerseyData Manager Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data managers in New Jersey?
Pharmaceutical companies including Johnson & Johnson, Merck, and Novartis have active sponsorship histories for data manager roles at their New Jersey campuses. Financial services firms in Jersey City, such as JPMorgan Chase and Goldman Sachs, also sponsor regularly. IT services companies like Cognizant and Infosys, which maintain large New Jersey operations, are among the most consistent H-1B visa filers for data management positions.
Which visa types are most common for data manager roles in New Jersey?
The H-1B is the most common visa for data manager positions in New Jersey, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field such as computer science, information systems, or statistics. Some candidates with advanced degrees pursue the EB-2 or EB-3 immigrant visa pathways. Intracompany transferees from multinational firms may also enter on L-1B visas.
Which cities in New Jersey have the most data manager sponsorship jobs?
Jersey City leads due to its proximity to Manhattan and concentration of financial services and technology employers. Newark follows, supported by its role as a regional corporate hub and home to Prudential Financial. Princeton and the Route 1 corridor have significant activity from pharmaceutical and biotech firms. Parsippany and Bridgewater also see steady demand, anchored by life sciences and consumer goods companies with large campuses.
How to find data manager visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data manager openings in New Jersey without sorting through positions that don't offer sponsorship. You can narrow results by location and role to focus on New Jersey's key employment centers like Jersey City, Newark, and Princeton. This saves significant time compared to manually researching each employer's sponsorship history.
Are there state-specific considerations for data managers seeking sponsorship in New Jersey?
New Jersey's dense concentration of pharmaceutical, financial services, and technology employers creates a competitive but active sponsorship market for data managers. The state's proximity to New York City means prevailing wage determinations often reflect metro-level rates, which employers must meet when filing Labor Condition Applications. Rutgers University and NJIT also produce a consistent pipeline of locally trained data professionals, so candidates with specialized experience in regulated industries like life sciences tend to stand out.
What is the prevailing wage for sponsored data manager jobs in New Jersey?
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.