Data Manager Visa Sponsorship Jobs in North Carolina
Data manager roles in North Carolina are concentrated across the Research Triangle, where companies like Lenovo, Fidelity Investments, and SAS Institute actively hire data professionals. Charlotte's financial sector and the state's strong university system add further demand. International candidates will find genuine sponsorship opportunities, particularly at large enterprises and tech firms.
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Red Hat’s Global Sales Go-To-Market Strategy, Incentives & Data Analytics team is seeking a Senior Manager, Sales Data Management to lead efforts in improving sales data quality, governance, and operational readiness across the organization. You will lead a team responsible for managing trusted sales datasets across Bookings Master, discounting, ecosystem/partners data, services data, incentives, planning, forecasting, quota modeling, territory planning, and performance measurement.
This strategic role is responsible for designing and implementing scalable data validation frameworks, automating data quality checks, driving proactive issue detection, and establishing governance-grade reporting standards. The role will ensure high accuracy, timely insights, consistent business definitions, and trusted data products that support critical GTM decision-making.
The successful candidate will combine strong people leadership, deep analytical expertise, technical fluency, and business acumen. You will play a pivotal role in advancing automation, standardization, visibility, and accountability across global sales and incentive processes. You will also serve as a key advisor to Sales, Operations, Finance, Incentives, Ecosystem/Partner, and Services stakeholders to enable business-critical decisions backed by trusted data.
Note: This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.
What You Will Do
- Lead cross-functional initiatives to enhance data accuracy, timeliness, and consistency across Bookings Master, discounting, ecosystem/partners data, services data, incentives, planning, forecasting, and sales performance datasets
- Manage, coach, and develop a high-performing team of data analysts, data engineers, and business data professionals responsible for delivering trusted, governed, and business-ready sales data
- Set clear priorities, delivery expectations, operating rhythms, and accountability mechanisms to ensure the team delivers high-quality outcomes aligned to business priorities
- Design and implement validation rules, pipeline reconciliation dashboards, automated data quality checks, and exception reporting to ensure accounting-grade data integrity
- Enforce submission calendars, lead daily health checks, and establish monthly and quarterly lock processes to maintain trusted, auditable data workflows
- Standardize definitions, bookings classifications, discounting logic, partner attribution, services classifications, opportunity rules, and planning assumptions through collaborative reviews across GTM, Finance, Sales, Incentives, Ecosystem/Partner, and Services teams
- Deliver daily dashboards and reports to surface anomalies, drive stakeholder awareness, improve data visibility, and accelerate issue resolution
- Drive digitization of manual processes to reduce inefficiencies, improve repeatability, and enhance automation and operational scalability
- Maintain governance standards by ensuring compliance with accounting, audit, and finance requirements through proactive lock, review, reconciliation, and approval processes
- Curate and validate sales opportunity, bookings, discounting, ecosystem/partner, and services data for use in incentives, quota modeling, territory planning, forecasting, attainment, and executive reporting
- Analyze historical and in-quarter performance to identify gaps, anomalies, and risks across bookings, discounting, partner contribution, services performance, pipeline, attainment, and planning datasets
- Partner with dashboard and reporting teams to develop trusted KPIs and scalable tools supporting Bookings Master, discounting insights, ecosystem/partner analytics, services analytics, planning, attainment, incentives, and performance measurement
- Serve as a subject matter expert for sales data management, ensuring alignment on data use cases, reporting expectations, lock governance timelines, source-system alignment, and stakeholder accountability
- Partner with engineering and analytics teams to improve data lineage, observability, documentation, business rule versioning, and scalable data product delivery
- Leverage automation and AI-assisted approaches where appropriate to accelerate anomaly detection, data quality checks, contextual explanations, and recurring issue identification while preserving human accountability and authoritative source governance
- Coach team members on business acumen, stakeholder communication, analytical rigor, technical quality, executive presence, and ownership mindset
- Create a team culture grounded in accountability, collaboration, trust, continuous improvement, and customer-focused execution
What You Will Bring
- 10+ years of experience in data analytics, business intelligence, sales operations, data engineering, or sales data management, with a strong focus on sales data governance, incentives, planning, and performance reporting in a technology sales environment
- 3+ years of people management or formal team leadership experience, including coaching, performance management, prioritization, and talent development
- Demonstrated ability to lead data validation frameworks and build business-ready datasets to support strategic planning, forecasting, incentive modeling, and executive decision-making
- In-depth understanding of sales lifecycle, Bookings Master data, discounting, ecosystem/partner data, services data, territory planning, quota modeling, incentive modeling, forecasting, and sales performance measurement
- Proficiency in analytics and data tools such as SQL, Python, or R, and data visualization platforms such as Tableau, Looker, Power BI, CRMA, or similar tools
- Strong command of Google Sheets, automation tools, workflow digitization, and experience delivering scalable dashboards and operational reporting products
- Experience designing or contributing to monthly and quarterly data lock processes, audit-compliant reporting, accounting-grade reconciliation, and cross-functional data alignment
- Strong understanding of enterprise data platforms such as Snowflake or similar environments, including data lineage, validation, reconciliation, and observability concepts
- Excellent communication and collaboration skills, with the ability to influence across technical, non-technical, finance, sales, operations, and executive stakeholder groups
- Strong leadership qualities, including the ability to coach teams, create clarity from ambiguity, manage competing priorities, provide actionable feedback, and drive accountability through influence
- Ability to balance speed with governance, automation with control, and innovation with auditability
- Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, Business Analytics, Engineering, or related field. Master’s preferred
The salary range for this position is $157,230.00 - $259,440.00. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Benefits
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
About the Job
Red Hat’s Global Sales Go-To-Market Strategy, Incentives & Data Analytics team is seeking a Senior Manager, Sales Data Management to lead efforts in improving sales data quality, governance, and operational readiness across the organization. You will lead a team responsible for managing trusted sales datasets across Bookings Master, discounting, ecosystem/partners data, services data, incentives, planning, forecasting, quota modeling, territory planning, and performance measurement.
This strategic role is responsible for designing and implementing scalable data validation frameworks, automating data quality checks, driving proactive issue detection, and establishing governance-grade reporting standards. The role will ensure high accuracy, timely insights, consistent business definitions, and trusted data products that support critical GTM decision-making.
The successful candidate will combine strong people leadership, deep analytical expertise, technical fluency, and business acumen. You will play a pivotal role in advancing automation, standardization, visibility, and accountability across global sales and incentive processes. You will also serve as a key advisor to Sales, Operations, Finance, Incentives, Ecosystem/Partner, and Services stakeholders to enable business-critical decisions backed by trusted data.
Note: This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.
What You Will Do
- Lead cross-functional initiatives to enhance data accuracy, timeliness, and consistency across Bookings Master, discounting, ecosystem/partners data, services data, incentives, planning, forecasting, and sales performance datasets
- Manage, coach, and develop a high-performing team of data analysts, data engineers, and business data professionals responsible for delivering trusted, governed, and business-ready sales data
- Set clear priorities, delivery expectations, operating rhythms, and accountability mechanisms to ensure the team delivers high-quality outcomes aligned to business priorities
- Design and implement validation rules, pipeline reconciliation dashboards, automated data quality checks, and exception reporting to ensure accounting-grade data integrity
- Enforce submission calendars, lead daily health checks, and establish monthly and quarterly lock processes to maintain trusted, auditable data workflows
- Standardize definitions, bookings classifications, discounting logic, partner attribution, services classifications, opportunity rules, and planning assumptions through collaborative reviews across GTM, Finance, Sales, Incentives, Ecosystem/Partner, and Services teams
- Deliver daily dashboards and reports to surface anomalies, drive stakeholder awareness, improve data visibility, and accelerate issue resolution
- Drive digitization of manual processes to reduce inefficiencies, improve repeatability, and enhance automation and operational scalability
- Maintain governance standards by ensuring compliance with accounting, audit, and finance requirements through proactive lock, review, reconciliation, and approval processes
- Curate and validate sales opportunity, bookings, discounting, ecosystem/partner, and services data for use in incentives, quota modeling, territory planning, forecasting, attainment, and executive reporting
- Analyze historical and in-quarter performance to identify gaps, anomalies, and risks across bookings, discounting, partner contribution, services performance, pipeline, attainment, and planning datasets
- Partner with dashboard and reporting teams to develop trusted KPIs and scalable tools supporting Bookings Master, discounting insights, ecosystem/partner analytics, services analytics, planning, attainment, incentives, and performance measurement
- Serve as a subject matter expert for sales data management, ensuring alignment on data use cases, reporting expectations, lock governance timelines, source-system alignment, and stakeholder accountability
- Partner with engineering and analytics teams to improve data lineage, observability, documentation, business rule versioning, and scalable data product delivery
- Leverage automation and AI-assisted approaches where appropriate to accelerate anomaly detection, data quality checks, contextual explanations, and recurring issue identification while preserving human accountability and authoritative source governance
- Coach team members on business acumen, stakeholder communication, analytical rigor, technical quality, executive presence, and ownership mindset
- Create a team culture grounded in accountability, collaboration, trust, continuous improvement, and customer-focused execution
What You Will Bring
- 10+ years of experience in data analytics, business intelligence, sales operations, data engineering, or sales data management, with a strong focus on sales data governance, incentives, planning, and performance reporting in a technology sales environment
- 3+ years of people management or formal team leadership experience, including coaching, performance management, prioritization, and talent development
- Demonstrated ability to lead data validation frameworks and build business-ready datasets to support strategic planning, forecasting, incentive modeling, and executive decision-making
- In-depth understanding of sales lifecycle, Bookings Master data, discounting, ecosystem/partner data, services data, territory planning, quota modeling, incentive modeling, forecasting, and sales performance measurement
- Proficiency in analytics and data tools such as SQL, Python, or R, and data visualization platforms such as Tableau, Looker, Power BI, CRMA, or similar tools
- Strong command of Google Sheets, automation tools, workflow digitization, and experience delivering scalable dashboards and operational reporting products
- Experience designing or contributing to monthly and quarterly data lock processes, audit-compliant reporting, accounting-grade reconciliation, and cross-functional data alignment
- Strong understanding of enterprise data platforms such as Snowflake or similar environments, including data lineage, validation, reconciliation, and observability concepts
- Excellent communication and collaboration skills, with the ability to influence across technical, non-technical, finance, sales, operations, and executive stakeholder groups
- Strong leadership qualities, including the ability to coach teams, create clarity from ambiguity, manage competing priorities, provide actionable feedback, and drive accountability through influence
- Ability to balance speed with governance, automation with control, and innovation with auditability
- Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, Business Analytics, Engineering, or related field. Master’s preferred
The salary range for this position is $157,230.00 - $259,440.00. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Benefits
- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
Data Manager Job Roles in North Carolina
See all 262+ Data Manager Jobs in North Carolina
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Search Data Manager Jobs in North CarolinaData Manager Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data managers in North Carolina?
Large employers with established immigration programs are the most consistent sponsors. In North Carolina, that includes Lenovo and Fidelity Investments in the Research Triangle, SAS Institute in Cary, and Bank of America in Charlotte. Healthcare systems such as Duke Health and UNC Health also hire data managers and have sponsored H-1B visa workers. Smaller firms sponsor less frequently and often lack in-house immigration counsel.
Which visa types are most common for data manager roles in North Carolina?
The H-1B is the most common visa category for data managers in North Carolina, as the role generally qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, information systems, or statistics. Some candidates already holding F-1 OPT or STEM OPT authorization also work in data manager roles while pursuing long-term sponsorship. TN visas are available to Canadian and Mexican nationals in qualifying positions.
Which cities in North Carolina have the most data manager sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, and Chapel Hill, accounts for the highest concentration of data manager sponsorship activity in the state. Cary is notable for SAS Institute's headquarters. Charlotte is the second major hub, driven by its financial services sector. Smaller markets like Greensboro and Winston-Salem see occasional postings, primarily from healthcare and manufacturing employers.
How to find data manager visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it easier to identify data manager roles in North Carolina without sorting through positions that don't offer sponsorship. You can search by state and job title to surface relevant openings at employers who have a documented history of sponsoring international candidates. This saves significant time compared to reviewing unfiltered job postings.
Are there state-specific considerations for data managers seeking sponsorship in North Carolina?
North Carolina's Research Triangle is home to a dense concentration of universities, including NC State, Duke, and UNC Chapel Hill, which creates a strong local pipeline of data talent and keeps employer expectations high for technical credentials. Employers in the state's growing life sciences and fintech sectors often require domain-specific experience alongside data management skills. Because H-1B sponsorship requires meeting Department of Labor prevailing wage standards, candidates should ensure their offered role aligns with a data manager classification rather than a lower-tiered occupation.
What is the prevailing wage for sponsored data manager jobs in North Carolina?
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.