9 Semantic Modeling Jobs

You will be joining SAP, a company that is focused on enabling you to bring out your best and help the world run better. The company culture emphasizes collaboration and a shared passion for creating a workplace that values differences, embraces flexibility, and is aligned with purpose-driven and future-focused work. At SAP, you will experience a highly collaborative and caring team environment that prioritizes learning and development, acknowledges individual contributions, and provides a variety of benefit options for you to choose from. As a Knowledge Engineer (f/m/d) for Enterprise Knowledge Graphs at SAP, you will have the opportunity to contribute to the development of Knowledge Graphs as a source of explicit knowledge across multiple SAP domains. Your role will involve supporting the integration of Knowledge Graphs in various tasks such as Generative AI applications, designing and building large-scale Knowledge Graphs using business data, and collaborating with Knowledge and Data engineering teams and stakeholders to meet requirements. To excel in this role, you should have a Bachelors or Masters degree in computer science, artificial intelligence, physics, mathematics, or related disciplines. Professional experience in Knowledge Graphs and their application in a business context would be advantageous. Knowledge of RDF Knowledge Graph technology stack, semantic/knowledge modeling, and experience with Knowledge Graph databases are desirable. Additionally, familiarity with latest trends in Knowledge Graphs, data science knowledge, Python proficiency, and strong communication and collaboration skills are essential for this role. The AI organization at SAP is dedicated to seamlessly infusing AI into all enterprise applications, allowing customers, partners, and developers to enhance business processes and generate significant business value. By joining the international AI team at SAP, you will be part of an innovative environment with ample opportunities for personal development and global collaboration. At SAP, inclusivity, health, well-being, and flexible working models are emphasized to ensure that every individual, regardless of background, feels included and can perform at their best. The company values diversity and unique capabilities, investing in employees to inspire confidence and help them realize their full potential. SAP is an equal opportunity workplace and an affirmative action employer committed to creating a better and more equitable world. If you are interested in applying for employment at SAP and require accommodation or special assistance, please reach out to the Recruiting Operations Team at Careers@sap.com. SAP employees can also explore roles eligible for the SAP Employee Referral Program under specific conditions outlined in the SAP Referral Policy. Background verification with an external vendor may be required for successful candidates. Join SAP, where you can bring out your best and contribute to innovations that help customers worldwide work more efficiently and effectively, ensuring challenges receive the solutions they deserve.,

As an AI Architect at Datafoundry AI, a leading AI-first company driving digital transformation, you will be a key player in shaping cutting-edge AI solutions for various industries. With a primary focus on the Life Sciences sector, especially in the Safety Vigilance domain, Datafoundry is at the forefront of developing AI/ML algorithms to address digitalization challenges across sectors like Healthcare, Utilities, Aerospace and Defence, Manufacturing, and Banking. In this role, you will be responsible for conceptualizing and architecting AI solutions that meet evolving requirements and drive innovation in computer vision, Natural Language Processing (NLP), and reinforcement learning domains. Your leadership will be crucial in ensuring the scalability, performance, availability, and real-world impact of intelligent systems. Particularly, your expertise will be instrumental in healthcare and clinical data environments, making prior exposure to these domains highly desirable. Your key responsibilities will include leading the design, development, and scaling of AI platforms and products, defining non-functional requirements like scalability and reliability, documenting system architectures using industry-standard practices, and fostering technical growth within the engineering team. Your technical skills and expertise should span computer vision, NLP, Explainable AI (XAI) methods, Reinforcement Learning (RL), data lake development, data fabric architectures, and ML pipeline engineering in hybrid environments. If you are a visionary AI/ML Architect with over 10 years of experience, and a passion for driving AI innovation in a collaborative environment, Datafoundry invites you to join our team. You will be part of an exciting journey that transforms how organizations harness data for a competitive advantage. Apart from an attractive compensation package, we offer a flexible remote work environment and ample opportunities for professional development. If you are ready to be at the forefront of AI transformation and contribute to groundbreaking solutions across diverse industry sectors, apply now to be a part of Datafoundry's dynamic team.,

Oracle Health & AI (OHAI) is a newly formed business unit committed to transforming the healthcare industry through our expertise in IaaS and SaaS. Our mission is to deliver patient-centered care and make advanced clinical tools accessible globally (). We're assembling a team of innovative technologists to build the next-generation health platform-a greenfield initiative driven by entrepreneurship, creativity, and energy. If you thrive in a fast-paced, innovative environment, we invite you to help us create a world-class engineering team with a meaningful impact. The OHAI Patient Accounting Analytics Team focuses on delivering cutting-edge reporting metrics and visualizations for healthcare financial data. Our goal is to transform healthcare by automating insurance and patient billing processes, helping optimize operations and reimbursement processes. Our solutions leverage a blend of reporting platforms across both on-premises and cloud infrastructure. As we expand reporting capabilities on the cloud and make use of AI, we're looking for talented professionals to join us on this exciting journey. What We are looking for an accomplished and experienced Consulting Member of Technical Staff with in-depth knowledge of Oracle Analytics Cloud (OAC) to lead the design, development, integration, and optimization of analytics solutions. In this role, you will serve as a technical leader, guiding solution architecture and promoting best practices in data modeling, visualization, and cloud analytics. You will collaborate with cross-functional teams and provide mentorship to other engineers. In addition to strong proficiency in OAC, experience with Oracle Machine Learning (OML) on Autonomous Data Warehouse (ADW) and within OAC is required. The ideal candidate will be skilled in integrating OML capabilities, developing advanced analytics solutions, and supporting data-driven business strategies to unlock actionable insights. Minimum Qualifications Bachelor's/Master's degree in Computer Science, Information Systems, Data Science or a related field. 10+ years of experience in analytics, business intelligence, or data engineering roles, with 3+ years hands-on with Oracle Analytics Cloud. Deep expertise in OAC features: Data Flows, Visualization, Semantic Modeling, Security, and Scheduling. Advanced SQL skills and proficiency integrating OAC with diverse data sources (Oracle DB, REST APIs, cloud and on-prem sources). Experience with cloud infrastructure and deployment (OCI preferred). Demonstrated ability to deliver scalable, enterprise-grade analytics solutions. Knowledge of security, privacy, and role-based access best practices. Strong collaboration, documentation, and presentation skills. Preferred Qualifications Experience with healthcare / financial systems. Oracle Analytics Cloud and/or OCI certifications. Experience with other BI/analytics platforms (e.g., Tableau, Power BI). Proficiency in scripting/programming for automation (e.g., Python, Shell). Career Level - IC5

Job Description Oracle Health & AI (OHAI) is a newly formed business unit committed to transforming the healthcare industry through our expertise in IaaS and SaaS. Our mission is to deliver patient-centered care and make advanced clinical tools accessible globally ( learn more ). We&aposre assembling a team of innovative technologists to build the next-generation health platforma greenfield initiative driven by entrepreneurship, creativity, and energy. If you thrive in a fast-paced, innovative environment, we invite you to help us create a world-class engineering team with a meaningful impact. The OHAI Patient Accounting Analytics Team focuses on delivering cutting-edge reporting metrics and visualizations for healthcare financial data. Our goal is to transform healthcare by automating insurance and patient billing processes, helping optimize operations and reimbursement processes. Our solutions leverage a blend of reporting platforms across both on-premises and cloud infrastructure. As we expand reporting capabilities on the cloud and make use of AI, were looking for talented professionals to join us on this exciting journey. Responsibilities What We are looking for an accomplished and experienced Consulting Member of Technical Staff with in-depth knowledge of Oracle Analytics Cloud (OAC) to lead the design, development, integration, and optimization of analytics solutions. In this role, you will serve as a technical leader, guiding solution architecture and promoting best practices in data modeling, visualization, and cloud analytics. You will collaborate with cross-functional teams and provide mentorship to other engineers. In addition to strong proficiency in OAC, experience with Oracle Machine Learning (OML) on Autonomous Data Warehouse (ADW) and within OAC is required. The ideal candidate will be skilled in integrating OML capabilities, developing advanced analytics solutions, and supporting data-driven business strategies to unlock actionable insights. Minimum Qualifications Bachelor&aposs/Master&aposs degree in Computer Science, Information Systems, Data Science or a related field. 10+ years of experience in analytics, business intelligence, or data engineering roles, with 3+ years hands-on with Oracle Analytics Cloud. Deep expertise in OAC features: Data Flows, Visualization, Semantic Modeling, Security, and Scheduling. Advanced SQL skills and proficiency integrating OAC with diverse data sources (Oracle DB, REST APIs, cloud and on-prem sources). Experience with cloud infrastructure and deployment (OCI preferred). Demonstrated ability to deliver scalable, enterprise-grade analytics solutions. Knowledge of security, privacy, and role-based access best practices. Strong collaboration, documentation, and presentation skills. Preferred Qualifications Experience with healthcare / financial systems. Oracle Analytics Cloud and/or OCI certifications. Experience with other BI/analytics platforms (e.g., Tableau, Power BI). Proficiency in scripting/programming for automation (e.g., Python, Shell). Qualifications Career Level - IC5 About Us As a world leader in cloud solutions, Oracle uses tomorrows technology to tackle todays challenges. Weve partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. Thats why were committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. Were committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [HIDDEN TEXT] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

You will be responsible for providing consultancy services in Fusion Data Intelligence (FDI/FAW), Oracle Analytics Cloud (OAC), and Business Intelligence Publisher (BIP). Your role will involve working with clients remotely or in various cities including Bangalore, Pune, Hyderabad, Gurgaon, Kolkata, Chennai, and Mumbai. To qualify for this role, you must hold a Bachelor's degree in computer science or Information Technology with a minimum of 3-10 years of relevant experience in FDI/FAW, OAC, and BIP. Having experience with OBIEE/OBIA is considered beneficial, while expertise in OAC/FDI is a must-have requirement. Your skills should include proficiency in SQL, a minimum of 2 years of experience in semantic modeling, and a strong grasp of data warehousing, dimensional modeling, and ETL processes. Additionally, you should have a good understanding of OAC/FDI Architecture, knowledge of provisioning and configuring an FDI instance, and the ability to provide architecture recommendations based on project requirements. It is essential that you possess functional knowledge of fusion SaaS applications within domains such as ERP Fusion Finance, ERP Supply Chain, and ERP Fusion HCM. Furthermore, industry knowledge in sectors like healthcare, retail, or insurance is advantageous. In this role, you will be expected to lead a team of 4-5 junior members, communicate effectively, and drive requirements from clients to design analytical solutions. Your ability to understand OOTB features in FDI and handle customizations in reports, subject areas, ETL processes, and security will be crucial in delivering successful outcomes.,

Seeking an experienced Senior Business Intelligence Expert with deep expertise in PowerBI development and a proven track record of creating high-performance, visually compelling business intelligence solutions. The ideal candidate will have extensive experience in semantic modeling, data pipeline development, and API integration, with the ability to transform complex data into actionable insights through intuitive dashboards that follow consistent branding guidelines and utilize advanced visualizations. As a Senior Business Intelligence Expert, you will be responsible for designing, developing, and maintaining enterprise-level PowerBI solutions that drive business decisions across the organization. Your expertise in data modeling, ETL processes, and visualization best practices will be essential in delivering high-quality BI assets that meet performance standards and provide exceptional user experiences. Lead the optimization and performance tuning of PowerBI reports, dashboards, and datasets to ensure fast loading times and efficient data processing. Enhance the BI user experience by implementing consistent branding, modern visual designs, and intuitive navigation across all PowerBI assets. Develop and maintain complex data models using PowerBI's semantic modeling capabilities to ensure data accuracy, consistency, and usability. Create and maintain data ingestion pipelines using Databricks, Python, and SQL to transform raw data into structured formats suitable for analysis. Design and implement automated processes for integrating data from various API sources. Collaborate with stakeholders to understand business requirements and translate them into effective BI solutions. Provide technical leadership and mentoring to junior BI developers. Document technical specifications, data dictionaries, and user guides for all BI solutions. Minimum 15+ years of experience in business intelligence, data analytics, or related field. Expert-level proficiency with PowerBI Desktop, PowerBI Service, and PowerBI Report Server. Advanced knowledge of DAX, M language, and PowerQuery for sophisticated data modeling. Strong expertise in semantic modeling principles and best practices. Extensive experience with custom visualizations and complex dashboard design. Proficient in SQL for data manipulation and optimization. Experience with Python for data processing and ETL workflows. Proven track record of API integration and data ingestion from diverse sources. Strong understanding of data warehouse concepts and dimensional modeling. Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience). The ideal candidate will also possess knowledge and experience with emerging technologies and advanced PowerBI capabilities that can further enhance our BI ecosystem. Nice to Have Skills: Experience implementing AI-powered analytics tools and integrating them with PowerBI. Proficiency with Microsoft Copilot Studio for creating AI-powered business applications. Expertise across the Microsoft Power Platform (Power Apps, Power Automate, Power Virtual Agents). Experience with third-party visualization tools such as Inforiver for enhanced reporting capabilities. Knowledge of writeback architecture and implementation in PowerBI solutions. Experience with PowerBI APIs for custom application integration and automation. Familiarity with DevOps practices for BI development and deployment. Certifications such as Microsoft Certified: Data Analyst Associate, Power BI Developer, or Azure Data Engineer. This role offers an opportunity to work with cutting-edge business intelligence technologies while delivering impactful solutions that drive organizational success through data-driven insights. Come as You Are. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.,

As a Senior Business Intelligence Expert, you will leverage your extensive experience in PowerBI development to create high-performance and visually compelling business intelligence solutions. Your expertise in semantic modeling, data pipeline development, and API integration will play a crucial role in transforming complex data into actionable insights through intuitive dashboards that adhere to consistent branding guidelines and utilize advanced visualizations. You will be responsible for designing, developing, and maintaining enterprise-level PowerBI solutions that drive key business decisions throughout the organization. Your proficiency in data modeling, ETL processes, and visualization best practices will be essential in delivering top-notch BI assets that meet performance standards and offer exceptional user experiences. Key Responsibilities: - Lead optimization and performance tuning of PowerBI reports, dashboards, and datasets to ensure fast loading times and efficient data processing. - Enhance BI user experience by implementing consistent branding, modern visual designs, and intuitive navigation across all PowerBI assets. - Develop and maintain complex data models using PowerBI's semantic modeling capabilities for data accuracy, consistency, and usability. - Create and maintain data ingestion pipelines using Databricks, Python, and SQL to transform raw data into structured formats suitable for analysis. - Design and implement automated processes for integrating data from various API sources. - Collaborate with stakeholders to understand business requirements and translate them into effective BI solutions. - Provide technical leadership and mentoring to junior BI developers. - Document technical specifications, data dictionaries, and user guides for all BI solutions. Required Qualifications: - Minimum 15+ years of experience in business intelligence, data analytics, or related field. - Good experience in Databricks. - Expert-level proficiency with PowerBI Desktop, PowerBI Service, and PowerBI Report Server. - Advanced knowledge of DAX, M language, and PowerQuery for sophisticated data modeling. - Strong expertise in semantic modeling principles and best practices. - Extensive experience with custom visualizations and complex dashboard design. - Proficient in SQL for data manipulation and optimization. - Experience with Python for data processing and ETL workflows. - Proven track record of API integration and data ingestion from diverse sources. - Strong understanding of data warehouse concepts and dimensional modeling. - Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience). Nice to Have Skills: - Experience implementing AI-powered analytics tools and integrating them with PowerBI. - Proficiency with Microsoft Copilot Studio for creating AI-powered business applications. - Expertise across the Microsoft Power Platform (Power Apps, Power Automate, Power Virtual Agents). - Experience with third-party visualization tools such as Inforiver for enhanced reporting capabilities. - Knowledge of writeback architecture and implementation in PowerBI solutions. - Experience with PowerBI APIs for custom application integration and automation. - Familiarity with DevOps practices for BI development and deployment. - Certifications such as Microsoft Certified: Data Analyst Associate, Power BI Developer, or Azure Data Engineer. This role offers an exciting opportunity to work with cutting-edge business intelligence technologies and deliver impactful solutions that drive organizational success through data-driven insights.,

We are seeking a Data Modeler with expertise in mortgage banking data to support a large-scale Data Modernization program. As a Data Modeler, your primary responsibilities will include designing and developing enterprise-grade data models such as 3NF, Dimensional, and Semantic models to cater to both analytics and operational use cases. You will collaborate closely with business and engineering teams to define data products that are aligned with specific business domains. Your role will involve translating complex mortgage banking concepts into scalable and extensible models that meet the requirements of the organization. It is crucial to ensure that the data models are in alignment with modern data architecture principles and are compatible with cloud platforms like Snowflake and DBT. Additionally, you will be expected to contribute to the creation of canonical models and reusable patterns for enterprise-wide use. To be successful in this role, you should possess the following qualifications: - A minimum of 5 years of experience in data modeling with a strong emphasis on mortgage or financial services. - Hands-on experience in developing 3NF, Dimensional, and Semantic models. - Profound understanding of data as a product and domain-driven design principles. - Familiarity with modern data ecosystems and tools such as Snowflake, DBT, and BI tools would be advantageous. - Excellent communication skills are essential to effectively collaborate with both business and technical teams. This position requires the candidate to work onsite in either Hyderabad or Ahmedabad.,

The Senior Semantic Modeler will be responsible for designing, developing, and maintaining Semantic models using platforms like CubeDev, HoneyDew, AtScale, and others. This role requires a deep understanding of Semantic modeling principles and practices. You will work closely with data architects, data engineers, and business stakeholders to ensure the accurate and efficient representation of data for Generative AI and Business Intelligence purposes. Experience with graph-based semantic models is a plus. As a Product Architect - Semantic Modelling, your key responsibilities will include: - Designing and developing Semantic data models using platforms such as CubeDev, HoneyDew, AtScale, etc. - Creating and maintaining Semantic layers that accurately represent business concepts and support complex querying and reporting. - Collaborating with stakeholders to understand data requirements and translating them into semantic models. - Integrating semantic models with existing Gen AI & BI infrastructure alongside data architects and engineers. - Ensuring the alignment of semantic models with business needs and data governance policies. - Defining key business metrics within the semantic models for consistent and accurate reporting. - Identifying and documenting metric definitions in collaboration with business stakeholders. - Implementing processes for metric validation and verification to ensure accuracy and reliability. - Monitoring and maintaining the performance of metrics within the Semantic models and addressing any issues promptly. - Developing efficient queries and scripts for data retrieval and analysis. - Conducting regular reviews and updates of semantic models to ensure their effectiveness. - Providing guidance and expertise on Semantic technologies and best practices to the development team. - Performing data quality assessments and implementing improvements for data integrity and consistency. - Staying up to date with the latest trends in Semantic technologies and incorporating relevant innovations into the modeling process. - Secondary responsibilities may include designing and developing graph-based semantic models using RDF, OWL, and other semantic web standards. - Creating and maintaining ontologies that accurately represent domain knowledge and business concepts. Requirements: - Bachelor's or Masters degree in Computer Science, Information Systems, Data Science, or a related field. - Minimum of 6+ years of experience in Semantic modeling, data modeling, or related roles. - Proficiency in Semantic modeling platforms such as CubeDev, HoneyDew, AtScale, etc. - Strong understanding of data integration and ETL processes. - Familiarity with data governance and data quality principles. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Experience with graph-based semantic modeling tools such as Protg, Jena, or similar is a plus. Functional skills: - Experience in Lifesciences commercial analytics industry is preferred with familiarity in industry-specific data standards. - Knowledge of Gen AI overview and frameworks would be a plus. - Certification in BI semantic modeling or related technologies. Trinity is a life science consulting firm, founded in 1996, committed to providing evidence-based solutions for life science corporations globally. With over 25 years of experience, Trinity is dedicated to solving clients" most challenging problems through exceptional service, powerful tools, and data-driven insights. Trinity has 12 offices globally, serving 270+ life sciences customers with 1200+ employees. The India office was established in 2017 and currently has around 350+ employees, with plans for exponential growth. Qualifications: B.E Graduates are preferred.,