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Sap Data Intelligence Jobs (NOW HIRING)

SAP Data Engineer

Swedesboro, NJ · On-site

$113K - $135K/yr

Required : • 5+ years of experience in Data Engineering, Data Warehousing, or Business Intelligence roles. • Strong experience in SAP BW & HANA modeling, ABAP/4, and AMDP code design and ...

What makes SAP's agents different is accuracy grounded in the richest enterprise data and process ... intelligence, and other structured and unstructured data assets. * Partner closely with product ...

What makes SAP's agents different is accuracy grounded in the richest enterprise data and process ... intelligence, and other structured and unstructured data assets. * Partner closely with product ...

What makes SAP's agents different is accuracy grounded in the richest enterprise data and process ... intelligence, and other structured and unstructured data assets. * Partner closely with product ...

What makes SAP's agents different is accuracy grounded in the richest enterprise data and process ... intelligence, and other structured and unstructured data assets. * Partner closely with product ...

SAP Data Intelligence Fahigkeit, KI als strategischen Enabler fur Transformationen einzusetzen, Wertschopfungs- und Servicepotenziale zu identifizieren sowie Kunden bei der Umsetzung ...

What makes SAP's agents different is accuracy grounded in the richest enterprise data and process ... intelligence, and other structured and unstructured data assets. * Partner closely with product ...

What makes SAP's agents different is accuracy grounded in the richest enterprise data and process ... intelligence, and other structured and unstructured data assets. * Partner closely with product ...

Showing results 21-40

Sap Data Intelligence information

See salary details

$45.5K

$104.6K

$144K

How much do sap data intelligence jobs pay per year?

As of Sep 14, 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 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 are the key skills and qualifications needed to thrive as an SAP Data Intelligence professional?

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 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

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Infographic showing various Sap Data Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

SAP AI Engineering Architect

Seattle, WA • On-site

Tata Consultancy Service Limited
IT Services • 10K+ employees

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Must Have Technical/Functional Skills
- Deep expertise in SAP architecture, SAP Business Technology Platform, and AI-driven solution design.
- Hands-on proficiency with SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and SAP Extension Suite.
- Strong understanding of machine learning frameworks such as TensorFlow and PyTorch, and programming experience in Python and Java.
- Experience designing secure, scalable, high-performing AI-powered applications and extensions on SAP BTP.
- Knowledge of SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector engines, knowledge graphs, A2A, and MCP technologies.
- Experience with APIs, microservices, data orchestration, analytics, and machine learning model deployment across SAP and non-SAP landscapes.
- Understanding of SAP S/4HANA integration, SAP Fiori application development, JavaScript, HTML, Fiori Web Components, and API consumption.
- Strong knowledge of data governance, security best practices, Generative AI, prompt engineering, and AI-powered business transformation.
Roles & Responsibilities
- Lead the design, development, and implementation of AI-driven solutions within SAP ecosystems.
- Architect and implement AI solutions within SAP systems to enhance business processes, decision-making, automation, and operational efficiency.
- Design and deploy scalable, secure, and high-performing AI-powered applications on SAP BTP.
- Use SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and related BTP services to build innovative enterprise solutions.
- Develop and manage APIs and microservices using SAP BTP tools to enable seamless integration across SAP and non-SAP systems.
- Leverage SAP BTP capabilities for data orchestration, analytics, AI/ML model deployment, predictive insights, and real-time decision-making.
- Collaborate with business, functional, data, security, and engineering teams to identify AI integration and automation opportunities across SAP landscapes.
- Ensure solutions comply with data governance, enterprise security standards, architecture principles, and SAP best practices.
- Provide technical leadership, solution guidance, and mentorship to development teams.
- Stay current with emerging AI technologies, SAP BTP advancements, Generative AI patterns, and industry best practices to drive innovation.
Generic Managerial Skills, If any
- Provide technical leadership and mentorship to SAP, AI, and integration development teams.
- Collaborate effectively with cross-functional business, architecture, security, data, and engineering stakeholders.
- Translate business challenges into practi cal SAP BTP and AI-enabled solution designs.
- Communicate solution approach, technical risks, architecture decisions, and delivery status clearly to technical and management audiences.
- Demonstrate strong problem-solving skills, business process acumen, innovation mindset, and ownership of delivery outcomes.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $150,000 - $200,000 a year
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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US