Data Analytics Manager Visa Sponsorship Jobs in North Carolina
North Carolina's data analytics manager roles are concentrated across the Research Triangle, Charlotte's financial sector, and growing tech hubs in Raleigh and Durham. Major employers including Bank of America, Lenovo, Red Hat, and SAS Institute regularly hire for senior analytics leadership. International candidates pursuing visa sponsorship will find a strong market here, particularly in finance, software, and life sciences.
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Get Access To All JobsAbout us
We are a leading ERP software and solutions provider to dealers and rental companies of heavy equipment. We specialize in working with the construction, mining, forestry, material handling, and agriculture industries. We aim to be the ERP thought leader in our space and a trusted IT advisor to all dealers and rental companies. Today, we have over 750 employees, offices on four continents, and customers in over 20 countries. We are privately held, and our headquarters are in beautiful Cary, NC. We are actively seeking talented individuals to join our team and help us aggressively grow our North American footprint for both our on-premises and 100% cloud-based ERP solutions.
Why work for VitalEdge?
We don’t just sell technology, we enable transformation that results in broader societal benefits like building homes and critical infrastructure, growing food and delivering all sorts of products we all rely on for daily life. We exist to ultimately equip the world to keep running. We have more than 60 years of combined experience and two industry-leading software suites and associated apps, with which we will drive the market forward. It’s an exciting time to work for VitalEdge – join us!
Position Overview
The Data & Analytics Product Manager owns the end‑to‑end data product strategy for a modern heavy‑equipment dealership platform. This role is responsible for transforming raw operational data from core dealer systems into trusted, governed, AI‑compatible data products that power dashboards, analytics, and intelligent agents. The role sits at the intersection of dealer business operations (Sales, Service, Parts, Rental), Microsoft Fabric‑based data architecture, and Power BI for semantic modeling, ensuring data is not only reported—but actionable, predictive, and consumable by AI.
Responsibilities:
Key Responsibilities
1. Data Product Strategy & Vision
- Define and own the data product roadmap aligned to dealership outcomes such as margin optimization, asset utilization, service productivity, inventory health, fleet optimization.
- Establish domain‑based data products (Sales, Service, Parts, Rental, Finance) with clear ownership and success metrics.
- Translate dealer pain points into analytics, KPIs, and AI‑ready data capabilities, not just reports.
- Microsoft Fabric & Lakehouse Ownership
- Own the Data Lakehouse strategy.
- Define standards for:
- Data ingestion from core applications (ERP/DMS, CRM, Rental, Telematics).
- Entity mapping (Customer, Equipment, Work Orders, Parts, Assets).
- Data quality, lineage, and governance.
-
Partner with Data Engineering to prioritize pipelines that unlock business value, not just data availability.
-
Semantic Layer & Power BI
- Own the enterprise semantic model used across Power BI, self‑service analytics, and AI agents.
- Ensure:
- Consistent KPI definitions across departments.
- Role‑based metrics for executives, managers, and frontline leaders.
- Reusable, well‑documented datasets that reduce report sprawl.
-
Drive adoption of action‑oriented dashboards used in daily operations, not just monthly reviews.
-
AI‑Ready Data & Copilot Enablement
- Design semantic models that are compatible with AI and Copilot experiences, enabling:
- Natural language querying.
- Automated insight generation.
- Anomaly detection and trend identification.
-
Partner with AI and product teams to enable data‑driven agents that surface insights instead of static reports.
-
Stakeholder & Cross‑Functional Leadership
- Act as the single point of accountability for analytics outcomes across Product, Engineering, GTM, and Customer Success.
- Work closely with:
- Engineering (data pipelines, Fabric optimization).
- BI Analysts (dashboard design, KPI validation).
- Business leaders (Sales, Service, Parts, Rental) ensure relevance and adoption.
- Balance short‑term reporting needs with long‑term data platform scalability.
Required Skills & Education
Data & Analytics
- Hands‑on experience with:
- Microsoft Fabric
- Lakehouse architectures
- Power BI semantic models
- Ability to translate operational workflows into data models.
- Strong grasp of:
- Dimensional modeling
- KPI governance
- Data quality and metric consistency
- Experience designing data models for AI and natural language interaction
Product Management
- Proven product management experience owning data platforms or analytics products.
- Ability to define roadmaps, prioritize backlogs, and measure business impact.
- Comfortable operating between technical and business stakeholders.
Deep understanding of heavy equipment dealership operations is a plus.
- Machine sales & rental
- Service operations and technician productivity
- Parts inventory and fill rates
- Asset utilization and lifecycle profitability
About us
We are a leading ERP software and solutions provider to dealers and rental companies of heavy equipment. We specialize in working with the construction, mining, forestry, material handling, and agriculture industries. We aim to be the ERP thought leader in our space and a trusted IT advisor to all dealers and rental companies. Today, we have over 750 employees, offices on four continents, and customers in over 20 countries. We are privately held, and our headquarters are in beautiful Cary, NC. We are actively seeking talented individuals to join our team and help us aggressively grow our North American footprint for both our on-premises and 100% cloud-based ERP solutions.
Why work for VitalEdge?
We don’t just sell technology, we enable transformation that results in broader societal benefits like building homes and critical infrastructure, growing food and delivering all sorts of products we all rely on for daily life. We exist to ultimately equip the world to keep running. We have more than 60 years of combined experience and two industry-leading software suites and associated apps, with which we will drive the market forward. It’s an exciting time to work for VitalEdge – join us!
Position Overview
The Data & Analytics Product Manager owns the end‑to‑end data product strategy for a modern heavy‑equipment dealership platform. This role is responsible for transforming raw operational data from core dealer systems into trusted, governed, AI‑compatible data products that power dashboards, analytics, and intelligent agents. The role sits at the intersection of dealer business operations (Sales, Service, Parts, Rental), Microsoft Fabric‑based data architecture, and Power BI for semantic modeling, ensuring data is not only reported—but actionable, predictive, and consumable by AI.
Responsibilities:
Key Responsibilities
1. Data Product Strategy & Vision
- Define and own the data product roadmap aligned to dealership outcomes such as margin optimization, asset utilization, service productivity, inventory health, fleet optimization.
- Establish domain‑based data products (Sales, Service, Parts, Rental, Finance) with clear ownership and success metrics.
- Translate dealer pain points into analytics, KPIs, and AI‑ready data capabilities, not just reports.
- Microsoft Fabric & Lakehouse Ownership
- Own the Data Lakehouse strategy.
- Define standards for:
- Data ingestion from core applications (ERP/DMS, CRM, Rental, Telematics).
- Entity mapping (Customer, Equipment, Work Orders, Parts, Assets).
- Data quality, lineage, and governance.
-
Partner with Data Engineering to prioritize pipelines that unlock business value, not just data availability.
-
Semantic Layer & Power BI
- Own the enterprise semantic model used across Power BI, self‑service analytics, and AI agents.
- Ensure:
- Consistent KPI definitions across departments.
- Role‑based metrics for executives, managers, and frontline leaders.
- Reusable, well‑documented datasets that reduce report sprawl.
-
Drive adoption of action‑oriented dashboards used in daily operations, not just monthly reviews.
-
AI‑Ready Data & Copilot Enablement
- Design semantic models that are compatible with AI and Copilot experiences, enabling:
- Natural language querying.
- Automated insight generation.
- Anomaly detection and trend identification.
-
Partner with AI and product teams to enable data‑driven agents that surface insights instead of static reports.
-
Stakeholder & Cross‑Functional Leadership
- Act as the single point of accountability for analytics outcomes across Product, Engineering, GTM, and Customer Success.
- Work closely with:
- Engineering (data pipelines, Fabric optimization).
- BI Analysts (dashboard design, KPI validation).
- Business leaders (Sales, Service, Parts, Rental) ensure relevance and adoption.
- Balance short‑term reporting needs with long‑term data platform scalability.
Required Skills & Education
Data & Analytics
- Hands‑on experience with:
- Microsoft Fabric
- Lakehouse architectures
- Power BI semantic models
- Ability to translate operational workflows into data models.
- Strong grasp of:
- Dimensional modeling
- KPI governance
- Data quality and metric consistency
- Experience designing data models for AI and natural language interaction
Product Management
- Proven product management experience owning data platforms or analytics products.
- Ability to define roadmaps, prioritize backlogs, and measure business impact.
- Comfortable operating between technical and business stakeholders.
Deep understanding of heavy equipment dealership operations is a plus.
- Machine sales & rental
- Service operations and technician productivity
- Parts inventory and fill rates
- Asset utilization and lifecycle profitability
Data Analytics Manager Job Roles in North Carolina
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Search Data Analytics Manager Jobs in North CarolinaData Analytics Manager Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data analytics managers in North Carolina?
SAS Institute in Cary, Red Hat in Raleigh, Lenovo's North American headquarters in Morrisville, and Bank of America's operations in Charlotte are among the employers with documented histories of sponsoring H-1B visas for data and analytics roles. Life sciences firms in the Research Triangle Park area, including Biogen and Syneos Health, also sponsor analytics leadership positions with some regularity.
Which visa types are most common for data analytics manager roles in North Carolina?
The H-1B is the most common visa category for data analytics managers in North Carolina, 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 information systems. Candidates already holding L-1A status through multinational employers may also transfer into manager-level analytics roles. Some senior candidates explore the O-1A for demonstrated extraordinary ability in data science.
Which cities in North Carolina have the most data analytics manager sponsorship jobs?
Raleigh and Durham, anchored by Research Triangle Park, account for the largest share of data analytics manager sponsorship activity in the state. Charlotte follows closely, driven by its concentration of financial services and enterprise technology firms. Morrisville and Cary, home to major tech employers, also generate a meaningful number of sponsored analytics leadership openings. Smaller markets like Greensboro see occasional postings from manufacturing and logistics companies.
How to find data analytics manager visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically for roles where employers have indicated visa sponsorship availability, including data analytics manager positions across North Carolina. Rather than sorting through general postings, you can search by role and state to surface opportunities at employers in the Research Triangle, Charlotte, and surrounding areas that are actively hiring international candidates for analytics leadership roles.
Are there any state-specific factors that affect data analytics manager sponsorship in North Carolina?
North Carolina's Research Triangle Park is one of the densest concentrations of research-driven employers in the U.S., which creates a strong pipeline of international analytics talent from nearby universities including NC State, UNC Chapel Hill, and Duke. Employers in this corridor are generally experienced with H-1B sponsorship processes. The state's growing fintech and life sciences sectors have also increased demand for analytics managers who can lead cross-functional data teams, making the market competitive for both candidates and employers.
What is the prevailing wage for sponsored data analytics 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.
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