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Sap Data Intelligence Jobs (NOW HIRING)

Sutherland

SAP BTP Lead

Troy, MI · On-site

... SAP Data Intelligence. * Build and manage integrations between SAP S/4HANA, SAP ECC, SAP ... SuccessFactors, and other cloud and on-premise applications, ensuring smooth communication and data ...

Sutherland

SAP BTP Lead

Troy, MI

... SAP Data Intelligence. * Build and manage integrations between SAP S/4HANA, SAP ECC, SAP ... SuccessFactors, and other cloud and on-premise applications, ensuring smooth communication and data ...

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$45.5K

$104.6K

$144K

How much do sap data intelligence jobs pay per year?

As of Jun 5, 2026, the average yearly pay for sap data intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an SAP Data Intelligence professional, and why are they important?

To thrive as an SAP Data Intelligence professional, you need a strong background in data management, integration, and analytics, typically supported by a degree in computer science or a related field. Familiarity with SAP Data Intelligence, SAP HANA, cloud platforms, and relevant certifications such as SAP Certified Application Associate are crucial. Analytical thinking, problem-solving, and effective communication are standout soft skills for this role. These competencies ensure seamless data orchestration, informed decision-making, and successful collaboration across business and IT teams.

What are some common challenges faced by SAP Data Intelligence professionals during data integration projects?

SAP Data Intelligence professionals often encounter challenges related to integrating data from diverse sources, especially when dealing with legacy systems or non-SAP platforms. Ensuring data quality and consistency across various formats and environments can be complex, and managing data security and compliance requirements is also a key concern. Collaboration with data engineers, business analysts, and IT security teams is crucial to address these obstacles effectively and to deliver reliable, actionable insights from integrated data pipelines.

What is SAP Data Intelligence?

SAP Data Intelligence is an integrated data management solution that enables organizations to connect, discover, orchestrate, and manage complex data landscapes. It allows users to combine data from various sources, both on-premises and in the cloud, and transform it into valuable business insights. The platform provides tools for data integration, data governance, machine learning, and data pipeline orchestration, helping businesses make data-driven decisions. SAP Data Intelligence is designed to support enterprise-scale data workflows and ensure data quality, compliance, and security.

What is the difference between Sap Data Intelligence vs SAP Data Analyst?

AspectSap Data IntelligenceSAP Data Analyst
Primary RoleDesigning, developing, and managing data pipelines and integration solutions using SAP Data Intelligence platformAnalyzing data sets to generate reports and insights using SAP tools and SQL
Required SkillsData integration, ETL processes, scripting, knowledge of SAP Data Intelligence platformData analysis, SQL, reporting tools, basic SAP knowledge
Work EnvironmentData engineering teams, cloud and on-premise SAP environmentsBusiness intelligence teams, analytics departments
CertificationsSAP Certified Application Associate - SAP Data IntelligenceSAP Certified Application Associate - SAP Analytics Cloud or similar

While SAP Data Intelligence focuses on building and managing complex data pipelines and integration solutions, SAP Data Analysts primarily analyze data to produce reports and insights. Both roles require SAP-related knowledge but differ in technical depth and focus areas.

More about Sap Data Intelligence jobs
What are the most commonly searched types of Sap Data Intelligence jobs? The most popular types of Sap Data Intelligence jobs are:
What job categories do people searching Sap Data Intelligence jobs look for? The top searched job categories for Sap Data Intelligence jobs are:
Sap Data Intelligence jobs near you
Infographic showing various Sap Data Intelligence job openings in the United States as of May 2026, with employment types broken down into 27% Full Time, 59% Part Time, and 14% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

SAP MDG Technical / Functional Architect

Prophecy Technologies

Phoenix, AZ • On-site

Full-time

Posted yesterday

Job description

Role: SAP MDG Technical / Functional Architect - Data Management / BODS / Steward
Location: Phoenix, AZ / Philadelphia, PA
Competencies
Must-Have:
  • Strong expertise in SAP Master Data Governance (MDG) - configuration, customization, and integration
  • Hands-on experience with SAP Data Services (BODS) for ETL, data migration, and data quality management
  • Deep understanding of SAP Data Management concepts including data modeling, validation rules, workflows, and replication
  • Experience implementing and maintaining data stewardship frameworks and governance policies
  • Ability to design and lead end-to-end MDG implementations (Finance, Vendor, Customer, Material domains)
  • Solid experience integrating MDG with SAP S/4HANA, ECC, and external systems
  • Proven leadership in solution design, performance tuning, and issue resolution across SAP data platforms

Good-to-Have:
  • Exposure to SAP Information Steward for data profiling and quality monitoring
  • Knowledge of SAP SLT, Data Intelligence, and Data Migration Cockpit
  • Experience defining and enforcing data governance standards, stewardship roles, and workflows
  • Strong communication and stakeholder management skills with cross-functional teams
  • SAP certifications in MDG, Data Services, or Data Management are a plus

Responsibilities
  • Lead and architect SAP MDG implementations covering both technical and functional aspects
  • Define data governance strategies, ensuring consistency, accuracy, and compliance across business domains
  • Configure and optimize BODS jobs for data integration, transformation, and migration activities
  • Establish and manage data stewardship processes to maintain high data quality standards
  • Collaborate with business and IT stakeholders to align MDG solutions with enterprise data management goals
  • Design data models, workflows, and validation rules to meet specific business requirements
  • Monitor and enhance data quality and performance across SAP landscapes
  • Provide technical leadership and mentorship to project teams during all phases of delivery
  • Support SAP MDG and BODS upgrades, troubleshooting, and performance optimization.

Apply