Data Analytics Lead Visa Sponsorship Jobs in New Jersey
New Jersey's data analytics lead roles are concentrated in financial services firms along the Hudson waterfront, pharma and life sciences companies in the Princeton Corridor, and tech employers in Jersey City and Newark. Companies like Johnson & Johnson, Cognizant, and Conduent have a strong local presence and established visa sponsorship programs for senior analytics talent.
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Get Access To All JobsINTRODUCTION
The Group Product Manager, Data and Analytics leads the Digital COE’s Data Products Team and owns the strategy, roadmap, and delivery of TE’s enterprise data product portfolio. This role transforms customer, marketing, and digital data into scalable products that improve decision-making, customer experiences, and TE’s digital ecosystem.
Reporting to the Director, Digital & Data Product Management & UX, this leader manages a multidisciplinary team of data analysts, data engineers, and data scientists. The role partners closely with Product Management, UX, Marketing, business units, enterprise IT, and data platform teams to deliver trusted, actionable data products.
The portfolio includes WAVE, TE’s enterprise Customer Intelligence platform, as well as customer data capabilities, digital and marketing analytics, customer experience measurement, and future capabilities such as Customer Data Platforms, Customer 360, AI-powered insights, and personalization.
The ideal candidate combines strong product and people leadership with hands-on technical experience in analytics, data engineering, or data science and a proven ability to translate business strategy into measurable enterprise data products.
KEY RESPONSIBILITIES
Product Strategy and Portfolio Leadership
- Define and own the vision, strategy, and multi-year roadmap for TE’s enterprise data product portfolio
- Lead discovery with business units, Marketing, Sales, digital teams, and enterprise stakeholders to identify high-value opportunities
- Prioritize investments based on customer value, business outcomes, technical feasibility, and strategic alignment
- Simplify and consolidate existing products where possible before investing in new capabilities
Product Delivery and Technical Leadership
- Lead and develop a multidisciplinary team of data analysts, data engineers, and data scientists
- Set priorities and allocate resources across multiple products and initiatives to maximize business value
- Partner with the team to define requirements, evaluate analytical approaches, review solution designs, and guide decisions involving data pipelines, models, cloud platforms, analytics, and AI
- Apply hands-on knowledge of SQL, Python, analytics, and data science concepts to support high-quality delivery
Enterprise Data and Platform Strategy
- Partner with enterprise IT and platform teams to shape scalable architecture, governance, integration, and data quality strategies
- Represent customer, marketing, and digital priorities within broader enterprise data investments
- Drive strategy for capabilities such as CDPs, Customer 360, advanced analytics, AI-powered insights, and personalization
- Identify emerging technologies that can improve customer experiences, marketing effectiveness, and business decision-making
- Promote consistent product management practices across TE’s growing data ecosystem
Stakeholder and People Leadership
- Build trusted relationships with senior business unit, segment, Marketing, digital, Product Management, UX, and IT leaders
- Translate complex technical topics into clear recommendations, priorities, and product strategies for executive audiences
- Embed data-driven decision-making into TE’s digital products and customer experiences
- Enable trusted measurement of customer satisfaction, digital engagement, marketing effectiveness, and business performance
- Coach and develop a high-performing team, establishing clear priorities, performance expectations, and development plans
WHAT YOUR BACKGROUND SHOULD LOOK LIKE
- 10+ years of experience in product management, data products, analytics, data platforms, or a related technical product leadership role
- 3+ years of experience leading technical teams that include data analysts, data engineers, data scientists, or similar roles
- Proven experience defining and delivering enterprise data or analytics product strategies and roadmaps
- Strong technical foundation in analytics, data engineering, or data science, including professional experience using SQL and Python
- Experience partnering with engineers and data scientists to deliver scalable data products
- Ability to participate deeply in architecture and design discussions while balancing customer needs, business priorities, and technical feasibility
- Experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies
- Demonstrated success leading cross-functional work and influencing stakeholders in complex, matrixed organizations
- Strong executive communication, stakeholder management, prioritization, and business-case development skills
COMPETENCIES
- Managing and Measuring Work
- Motivating Others
- Building Effective Teams
- Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
- SET: Strategy, Execution, Talent (for managers)
COMPENSATION
- Competitive base salary commensurate with experience: $163,800 – $204,700 (subject to change dependent on physical location)
- Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
- Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
- A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
EOE, Including Disability/Vets
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
LOCATION
Job Locations:
Posting City: #Wayne
Job Country: United States
Travel Required: 10% to 25%
Requisition ID: 155916
Workplace Type: Remote
External Careers Page: Sales & Marketing
INTRODUCTION
The Group Product Manager, Data and Analytics leads the Digital COE’s Data Products Team and owns the strategy, roadmap, and delivery of TE’s enterprise data product portfolio. This role transforms customer, marketing, and digital data into scalable products that improve decision-making, customer experiences, and TE’s digital ecosystem.
Reporting to the Director, Digital & Data Product Management & UX, this leader manages a multidisciplinary team of data analysts, data engineers, and data scientists. The role partners closely with Product Management, UX, Marketing, business units, enterprise IT, and data platform teams to deliver trusted, actionable data products.
The portfolio includes WAVE, TE’s enterprise Customer Intelligence platform, as well as customer data capabilities, digital and marketing analytics, customer experience measurement, and future capabilities such as Customer Data Platforms, Customer 360, AI-powered insights, and personalization.
The ideal candidate combines strong product and people leadership with hands-on technical experience in analytics, data engineering, or data science and a proven ability to translate business strategy into measurable enterprise data products.
KEY RESPONSIBILITIES
Product Strategy and Portfolio Leadership
- Define and own the vision, strategy, and multi-year roadmap for TE’s enterprise data product portfolio
- Lead discovery with business units, Marketing, Sales, digital teams, and enterprise stakeholders to identify high-value opportunities
- Prioritize investments based on customer value, business outcomes, technical feasibility, and strategic alignment
- Simplify and consolidate existing products where possible before investing in new capabilities
Product Delivery and Technical Leadership
- Lead and develop a multidisciplinary team of data analysts, data engineers, and data scientists
- Set priorities and allocate resources across multiple products and initiatives to maximize business value
- Partner with the team to define requirements, evaluate analytical approaches, review solution designs, and guide decisions involving data pipelines, models, cloud platforms, analytics, and AI
- Apply hands-on knowledge of SQL, Python, analytics, and data science concepts to support high-quality delivery
Enterprise Data and Platform Strategy
- Partner with enterprise IT and platform teams to shape scalable architecture, governance, integration, and data quality strategies
- Represent customer, marketing, and digital priorities within broader enterprise data investments
- Drive strategy for capabilities such as CDPs, Customer 360, advanced analytics, AI-powered insights, and personalization
- Identify emerging technologies that can improve customer experiences, marketing effectiveness, and business decision-making
- Promote consistent product management practices across TE’s growing data ecosystem
Stakeholder and People Leadership
- Build trusted relationships with senior business unit, segment, Marketing, digital, Product Management, UX, and IT leaders
- Translate complex technical topics into clear recommendations, priorities, and product strategies for executive audiences
- Embed data-driven decision-making into TE’s digital products and customer experiences
- Enable trusted measurement of customer satisfaction, digital engagement, marketing effectiveness, and business performance
- Coach and develop a high-performing team, establishing clear priorities, performance expectations, and development plans
WHAT YOUR BACKGROUND SHOULD LOOK LIKE
- 10+ years of experience in product management, data products, analytics, data platforms, or a related technical product leadership role
- 3+ years of experience leading technical teams that include data analysts, data engineers, data scientists, or similar roles
- Proven experience defining and delivering enterprise data or analytics product strategies and roadmaps
- Strong technical foundation in analytics, data engineering, or data science, including professional experience using SQL and Python
- Experience partnering with engineers and data scientists to deliver scalable data products
- Ability to participate deeply in architecture and design discussions while balancing customer needs, business priorities, and technical feasibility
- Experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies
- Demonstrated success leading cross-functional work and influencing stakeholders in complex, matrixed organizations
- Strong executive communication, stakeholder management, prioritization, and business-case development skills
COMPETENCIES
- Managing and Measuring Work
- Motivating Others
- Building Effective Teams
- Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
- SET: Strategy, Execution, Talent (for managers)
COMPENSATION
- Competitive base salary commensurate with experience: $163,800 – $204,700 (subject to change dependent on physical location)
- Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
- Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
- A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
EOE, Including Disability/Vets
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
LOCATION
Job Locations:
Posting City: #Wayne
Job Country: United States
Travel Required: 10% to 25%
Requisition ID: 155916
Workplace Type: Remote
External Careers Page: Sales & Marketing
Data Analytics Lead Job Roles in New Jersey
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Search Data Analytics Lead Jobs in New JerseyData Analytics Lead Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data analytics leads in New Jersey?
New Jersey's largest visa sponsors for senior analytics roles include Johnson & Johnson, Merck, Cognizant, Conduent, and Synchronoss Technologies. Financial services firms headquartered near Jersey City, such as Goldman Sachs's NJ operations, also sponsor data analytics leads. Pharma companies in the Princeton-Bridgewater corridor are particularly active, given their heavy investment in clinical data and real-world evidence analytics functions.
Which visa types are most common for data analytics lead roles in New Jersey?
The H-1B visa is the most common visa for data analytics leads in New Jersey, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as statistics, computer science, or data science. Candidates with advanced degrees may also pursue the H-1B with an EB-2 or EB-2 NIW immigrant visa pathway longer term. L-1B visas apply when candidates transfer from a related overseas office of the same company.
How to find data analytics lead visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find data analytics lead roles in New Jersey without sorting through postings that don't sponsor. You can filter by state and role to surface relevant openings at pharma, financial services, and technology employers across Jersey City, Newark, and the Princeton Corridor, all of which are active hiring markets for this position.
Which cities in New Jersey have the most data analytics lead sponsorship jobs?
Jersey City and Newark lead for data analytics roles, driven by their proximity to New York City's financial sector and strong transit connections that attract large employers. Bridgewater and Princeton are significant hubs for pharma and life sciences analytics, with companies like Merck, Sanofi, and Bristol Myers Squibb operating major campuses there. Parsippany also draws enterprise technology and consulting firms that hire at the analytics lead level.
Are there any New Jersey-specific considerations for data analytics lead sponsorship?
New Jersey's high concentration of pharma and financial services employers means data analytics leads often need domain-specific experience beyond general technical skills, which affects how employers structure job requirements for H-1B specialty occupation filings. Rutgers University and NJIT produce a steady pipeline of local analytics talent, so sponsored candidates are typically competing against strong domestic applicants. Employers in regulated industries like pharma also tend to move more carefully through sponsorship approvals given compliance overhead.
What is the prevailing wage for sponsored data analytics lead 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.