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Global Data Systems Jobs (NOW HIRING)

The Global Data Delivery Lead plays a pivotal role in transforming data into actionable insights that support strategic decision-making. This role is central to enabling data-driven culture across ...

Global Data Architect (m/f/d)

Hall Summit, LA · On-site

$54.50 - $70.25/hr

Support transformation projects by establishing optimized data models in the source systems, document the data model; also govern together with Global Data Warehouse Team the data model in the data ...

Short Intro and About the Job The Learning Data and Systems Analyst will support operational ... Collaborate with the Global Learning Team to maintain enterprise requirements. 3. Budget Management ...

Supplier Data Systems Analyst CRH Americas Corporate Atlanta, Georgia, United States Job ID: 523419 CRH is a leading global diversified building materials group, employing over 75,800 people at more ...

The Global Lead Data Steward is a critical role within the Group Data Office, responsible for ... Work with regional stewards, domain owners, and system teams to investigate, prioritize, and ...

Responsible for owning and developing the vision, strategy, and execution for global enterprise data, analytics and business intelligence , ensuring scalability of systems processes and talent.

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Global Data Systems information

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$46K

$112K

$197K

How much do global data systems jobs pay per year?

As of Jun 14, 2026, the average yearly pay for global data systems in the United States is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How many employees does Global Data Systems have?

Global Data Systems is a technology company that provides data management and IT solutions. The company employs several hundred staff members across various departments, including technical support, sales, and engineering, to serve its clients worldwide.

What jobs in the US pay 300,000 a year?

In the field of data systems, senior roles such as Data Architects, Data Engineering Managers, and Chief Data Officers can earn $300,000 or more annually, especially with extensive experience, advanced certifications, and leadership responsibilities. These positions often require strong technical skills, strategic oversight, and experience managing large-scale data infrastructure.

What are the key skills and qualifications needed to thrive in a Global Data Systems role, and why are they important?

To thrive in a Global Data Systems role, you need strong analytical skills, data management expertise, and a background in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), data integration tools, and certifications in platforms like SQL, Oracle, or SAP are commonly required. Excellent problem-solving, communication, and cross-cultural collaboration skills help you work effectively in global teams and with diverse datasets. These skills are crucial for ensuring accurate, secure, and efficient data handling across international operations.

What are Global Data Systems?

Global Data Systems refer to the integrated technologies, processes, and networks used by organizations to collect, store, manage, and analyze data across multiple countries or regions. These systems enable businesses to operate on a global scale by ensuring that data is consistently available, secure, and compliant with diverse international regulations. Professionals working with Global Data Systems are responsible for implementing data architectures, ensuring data integrity, and supporting global business operations through effective data management. Their work is essential for multinational companies to make informed decisions and maintain a competitive edge.

What jobs make $1,000,000 a year?

In the field of global data systems, high-level executive roles such as Chief Data Officer or Chief Technology Officer can earn over $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced technical skills, and leadership responsibilities, often including stock options and bonuses. Such compensation is rare and usually associated with senior management in major organizations.

What is the highest paying job in data?

In data-related fields, chief data officers (CDOs) and data executives typically earn the highest salaries, often exceeding $150,000 annually, especially in large organizations. Senior data scientists and data engineers with advanced skills in machine learning, big data tools, and cloud platforms can also command high compensation, particularly with extensive experience and certifications.

What is the difference between Global Data Systems vs Data Analyst?

AspectGlobal Data SystemsData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like Cisco, MicrosoftBachelor's in Statistics, Mathematics, or related; certifications like Microsoft Excel, SQL
Work EnvironmentIT departments, data centers, enterprise networksOffice settings, data visualization tools, reporting environments
Employer & Industry UsageTech companies, large corporations managing global data infrastructureBusiness, finance, marketing sectors analyzing data trends

Global Data Systems professionals focus on managing and maintaining large-scale data infrastructure and systems, often working in IT environments. Data Analysts interpret data to provide insights, primarily working with data visualization and reporting tools. While both roles handle data, their core responsibilities and work settings differ significantly.

What are some common challenges faced by professionals working in Global Data Systems roles?

Professionals in Global Data Systems often encounter challenges related to managing and integrating large volumes of data from disparate international sources. Navigating differences in data privacy regulations across countries and ensuring data consistency and security can be complex. Additionally, collaborating across time zones with global teams requires strong communication and project management skills. Successfully addressing these challenges can lead to more efficient data workflows and valuable insights for multinational organizations.
More about Global Data Systems jobs
What cities are hiring for Global Data Systems jobs? Cities with the most Global Data Systems job openings:
Infographic showing various Global Data Systems job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.

Global Data Delivery Lead

Ascot Group

Iselin, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Job Description
This is an opportunity to join Ascot Group - one of the world's preeminent specialty risk underwriting organizations.
Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we're bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourish in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.
The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.
Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service - both pre- and post-claims. Ascot exists to solve for our clients' brightest tomorrow, through agility, collaboration, resilience, and discipline.
Position Overview:
The Global Data Delivery Lead plays a pivotal role in transforming data into actionable insights that support strategic decision-making. This role is central to enabling data-driven culture across the organization, particularly in high-impact environments like Ascot Group, where data modernization and AI integration are strategic priorities. The ideal candidate should be hands-on with ETL tools like Databricks, BI development and visualization using Power BI. This position will report to Senior AI Data Program Manager and will be an in-office position on a hybrid work schedule.
Responsibilities:
Data Integration & Architecture
  • Design and maintain robust data pipelines using ETL tools.
  • Integrate diverse data sources into a unified data warehouse or Lakehouse architecture in Databricks.
  • Support the transformation of raw data into conformed enterprise models and data schemas for reporting in Power BI.
  • Integrate Power BI with various data sources, including SQL Server, SharePoint, external APIs, Databricks.

BI Development & Visualization:
  • Develop and maintain data models, including DAX calculations, to support Power BI reports and dashboards.
  • Design and develop interactive power BI reports and dashboards using Power BI desktop.
  • Ensure semantic models are optimized for self-service analytics and paginated reporting.

Analytics & Insights:
  • Collaborate with business stakeholders to define KPIs and build analytical models.
  • Work closely with Group data office to execute on our unified global data delivery strategy as well as ensuring our data delivery pipelines are optimized for AI use cases.
  • Apply statistical and predictive modeling techniques to uncover trends and patterns.
  • Support AI-driven initiatives by preparing structured data for modeling and insights.

Governance & Quality:
  • Implement data quality rules and validation checks to ensure trusted reporting.
  • Participate in data governance initiatives to align with compliance and regulatory standards.

Collaboration:
  • Work closely with cross-functional teams including data stewards, architects, business analysts, data scientists and end users.
  • Provide technical guidance as applicable to junior/offshore resources.
  • Engage in stakeholder communication and triage data requests for prioritization.

Requirements:
  • Bachelor's degree in information technology, Computer Science, Business Analytics, or a related field.
  • A minimum of 7 years of experience in progressive data delivery and Power BI development.
  • Hands- on strong technical proficiency in SQL, data warehouse concepts and data integration techniques, with focus on Databricks.
  • Strong understanding of data platforms, analytics tools, and AI technologies, with the ability to resolve issues related to data and reporting.
  • Excellent communication and interpersonal skills, with the ability to engage effectively across all levels of the organization.
  • Knowledge of Power BI best practices for data modelling and reporting.
  • Knowledge on insurance business processes and terminologies including underwriting, claims, pricing, operations etc. preferred.
  • Commitment to The Ascot Way: Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability.

***This position may be filled at a different level, depending on experience***
Compensation
Actual base pay could vary and may be above or below the listed range based on factors including but not limited to experience, subject matter expertise, and skills. The base pay is just one component of Ascot's total compensation package for employees. Other rewards may include an annual cash bonus and other forms of discretionary compensation awarded by the Company.
The salary range for this position in Chicago and New York Metro is $155,000-$165,000
Company Benefits
The Company provides a competitive benefits package that includes the following (eligibility requirements apply):
Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more
Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver)
Retirement Benefits: Contributory Savings Plan (401k)
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