Green Card Head of Data Science Jobs
Head of Data Science roles qualify for EB-2 green card sponsorship when the position requires an advanced degree in statistics, computer science, or a related field. Employers file PERM labor certification with the Department of Labor before sponsoring permanent residency. Priority-date backlogs vary by country of birth, so early sponsorship conversations matter.
Find Green Card Head of Data Science JobsOverview
Showing 5 of 6+ Head of Data Science jobs
See all Head of Data Science Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Head of Data Science roles.
Get Access To All JobsINTRODUCTION
The Global Head of Data Science, Analytics & AI for Mars Snacking is a pivotal senior leadership role, that will be joining at a time of transformation for the Segment, following the recent acquisition of Kellanova. We are seeking a visionary leader to shape and execute our segment's Analytics & AI strategy. Reporting to the SVP Chief Data & Analytics Officer, and a member of the CDAO leadership team, you will be instrumental in powering our strategic priorities delivering leading digital products and capabilities, developing the governance & frameworks for how we lead in this space, and building a best-in-class team. Mars Snacking is at the start of a hugely exciting journey, integrating two incredibly successful organizations with exciting and category leading brands. This position requires a leader who can innovate, excite, and help shape our future; ensuring data, analytics, and AI are core enablers of our growth across a newly expanded portfolio. As a key member of the CDAO leadership team, you will be responsible for co-creating a vision and strategy that will help steer the organisation through complexity and change, keeping a sharp focus on value creation and a winning culture.
BASIC QUALIFICATIONS
- Bachelor’s degree required; Master’s degree or PhD in a quantitative field such as Computer Science, Data Science, Statistics, or a related discipline preferred.
- 12+ years of experience in the data and analytics space with at least 5 years in a senior leadership capacity managing large, technical teams.
- Proven experience in Product Management, specifically within the AI, Data Science, and Machine Learning domains.
- Strong stakeholder relationship management skills, with the ability to influence and collaborate with senior leaders across a large enterprise.
- Deep technical knowledge in Machine Learning, Data Science, and Computational Science.
- Demonstrated experience in AI strategy development and successful implementation.
- Experience managing vendor and partner relationships to drive innovation and execution.
- A strong understanding of User Experience (UX) principles in the context of AI and analytics products.
- Solid experience in business case development and feasibility assessment for technical projects.
- Ideally experience in a CPG or Retail environment.
- Experience working across leading technology platforms including GCP Gemini, Databricks, Azure, etc.
Responsibilities
- AI Strategy & Vision: Lead the development and application of the strategic vision for data science, analytics, and AI for the Snacking segment, partnering with functional, regional, and divisional leaders to deliver innovative and scalable solutions.
- Team Leadership: Build, engage, and develop a high-performing global team of Data Science, Analytics & AI associates, establishing clear ways of working and accountabilities.
- Stakeholder Management / Business Partnership: Be the strategic partner of choice for the segment regions, functions & divisions by deeply understanding the business needs, identifying opportunities for scale and providing innovative solutions and recommendations.
- Deliver Business Value: Support the regions, functions and divisions on the delivery of our integration priorities with purpose and pace.
- Operational Excellence: Ensure operational excellence and accelerate quality growth through the creation of advanced analytics and AI capabilities, such as SRM (Strategic Revenue Management) and Perfect Store, Perfect Service agentic tools.
- Capability & Governance: Establish a clear vision, strategy, and framework to ensure a consistent, scalable, and high-quality approach to Analytics & AI, ensuring value realization and adherence to governance and ethical practices.
- Elevate AI Literacy: Act as an accelerator and champion for AI maturity growth across the segment, elevating capabilities and sponsoring valuable experimentation and scale.
- Technology & Architecture: Contribute to the architectural direction for analytics technology solutions and partner with internal IT and external partners to maximize the value derived from our technology platforms.
- Innovation & Research: Lead the research and evaluation of emerging skills, models, and market trends, bringing forward recommendations and solutions to achieve our long-term vision.
WHAT CAN YOU EXPECT FROM MARS?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
- A strong focus on learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.
INTRODUCTION
The Global Head of Data Science, Analytics & AI for Mars Snacking is a pivotal senior leadership role, that will be joining at a time of transformation for the Segment, following the recent acquisition of Kellanova. We are seeking a visionary leader to shape and execute our segment's Analytics & AI strategy. Reporting to the SVP Chief Data & Analytics Officer, and a member of the CDAO leadership team, you will be instrumental in powering our strategic priorities delivering leading digital products and capabilities, developing the governance & frameworks for how we lead in this space, and building a best-in-class team. Mars Snacking is at the start of a hugely exciting journey, integrating two incredibly successful organizations with exciting and category leading brands. This position requires a leader who can innovate, excite, and help shape our future; ensuring data, analytics, and AI are core enablers of our growth across a newly expanded portfolio. As a key member of the CDAO leadership team, you will be responsible for co-creating a vision and strategy that will help steer the organisation through complexity and change, keeping a sharp focus on value creation and a winning culture.
BASIC QUALIFICATIONS
- Bachelor’s degree required; Master’s degree or PhD in a quantitative field such as Computer Science, Data Science, Statistics, or a related discipline preferred.
- 12+ years of experience in the data and analytics space with at least 5 years in a senior leadership capacity managing large, technical teams.
- Proven experience in Product Management, specifically within the AI, Data Science, and Machine Learning domains.
- Strong stakeholder relationship management skills, with the ability to influence and collaborate with senior leaders across a large enterprise.
- Deep technical knowledge in Machine Learning, Data Science, and Computational Science.
- Demonstrated experience in AI strategy development and successful implementation.
- Experience managing vendor and partner relationships to drive innovation and execution.
- A strong understanding of User Experience (UX) principles in the context of AI and analytics products.
- Solid experience in business case development and feasibility assessment for technical projects.
- Ideally experience in a CPG or Retail environment.
- Experience working across leading technology platforms including GCP Gemini, Databricks, Azure, etc.
Responsibilities
- AI Strategy & Vision: Lead the development and application of the strategic vision for data science, analytics, and AI for the Snacking segment, partnering with functional, regional, and divisional leaders to deliver innovative and scalable solutions.
- Team Leadership: Build, engage, and develop a high-performing global team of Data Science, Analytics & AI associates, establishing clear ways of working and accountabilities.
- Stakeholder Management / Business Partnership: Be the strategic partner of choice for the segment regions, functions & divisions by deeply understanding the business needs, identifying opportunities for scale and providing innovative solutions and recommendations.
- Deliver Business Value: Support the regions, functions and divisions on the delivery of our integration priorities with purpose and pace.
- Operational Excellence: Ensure operational excellence and accelerate quality growth through the creation of advanced analytics and AI capabilities, such as SRM (Strategic Revenue Management) and Perfect Store, Perfect Service agentic tools.
- Capability & Governance: Establish a clear vision, strategy, and framework to ensure a consistent, scalable, and high-quality approach to Analytics & AI, ensuring value realization and adherence to governance and ethical practices.
- Elevate AI Literacy: Act as an accelerator and champion for AI maturity growth across the segment, elevating capabilities and sponsoring valuable experimentation and scale.
- Technology & Architecture: Contribute to the architectural direction for analytics technology solutions and partner with internal IT and external partners to maximize the value derived from our technology platforms.
- Innovation & Research: Lead the research and evaluation of emerging skills, models, and market trends, bringing forward recommendations and solutions to achieve our long-term vision.
WHAT CAN YOU EXPECT FROM MARS?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
- A strong focus on learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.
See all Green Card Head of Data Science Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Head of Data Science Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in Head of Data Science
Align your credentials to EB-2 requirements
EB-2 covers advanced-degree professionals, so document your master's or PhD plus any progressive experience leading data science teams. If you hold only a bachelor's, five years of post-degree specialized experience can substitute and strengthen your PERM filing.
Research PERM wage tiers before negotiating
Your employer must pay at least the DOL prevailing wage for your SOC code and work location. Use the OFLC Wage Search to find the Level III or IV rate for data science leadership roles before you discuss compensation, so your offer clears PERM requirements.
Target employers with active EB-2 sponsorship history
Search for Head of Data Science roles on Migrate Mate, which lists employers with verified employment-based green card sponsorship history, so you're applying to companies that have already run PERM for similar positions rather than educating a new sponsor.
Ask about priority date strategy during interviews
If you're from India or China, priority-date backlogs can significantly extend your wait after I-140 approval. Ask hiring managers whether the company files I-140 concurrently with PERM and whether they retain approved I-140s if you change roles internally.
Confirm the job description supports specialty occupation evidence
PERM requires the employer to demonstrate that the Head of Data Science role genuinely requires an advanced degree. Review the posted job duties against your O*NET occupation profile to confirm the degree requirement is defensible before the recruitment test begins.
Understand AC21 portability before you file I-485
Once your I-485 has been pending 180 days or more, AC21 lets you move to a new employer in the same or similar occupation without losing your priority date. Plan any employer changes around this window to protect your place in the queue.
Green Card Head of Data Science: Frequently Asked Questions
What green card category covers a Head of Data Science role?
Most Head of Data Science positions qualify under EB-2, because the role typically requires a master's degree or higher in a quantitative field such as computer science, statistics, or data engineering. Candidates with a bachelor's degree plus five years of progressive, specialized experience may also qualify under EB-2. EB-3 is available for roles where a bachelor's degree alone satisfies the minimum requirement.
How does the PERM process work for a data science leadership role?
Your employer files a prevailing wage determination with the DOL, then conducts a mandatory recruitment test to show no qualified U.S. workers are available. If PERM is certified, the employer files an I-140 immigrant petition with USCIS. You can then apply to adjust your status or pursue consular processing once a visa number becomes current for your country and preference category.
How is green card sponsorship different from H-1B for a Head of Data Science?
H-1B visa provides temporary work authorization, requires an LCA filed with the DOL, and is subject to an annual lottery for cap-subject employers. Green card sponsorship through PERM and I-140 leads to permanent residence with no renewal cycle. There is no lottery for employment-based green cards, but per-country annual limits mean nationals of high-demand countries can face priority-date backlogs after I-140 approval.
How do I find employers who sponsor green cards for data science leaders?
Use Migrate Mate to search for Head of Data Science roles at employers with verified employment-based green card sponsorship history. Focusing on companies that have previously run PERM for similar roles shortens the internal approval process and signals that HR and legal teams already understand the filing requirements for advanced-degree technical positions.
Can I change employers after my green card process starts?
Yes, but the timing matters. If your I-485 has been pending for 180 days or more, AC21 portability lets you move to a new employer in the same or similar occupation without restarting the queue. A priority date from an approved I-140 can also carry over to a new employer's petition, preserving your place even if you change companies before filing I-485.