12 Ontology Jobs

About the Role: Grade Level (for internal use): 11 The Role : The Knowledge Engineering team are seeking a Lead Knowledge Engineer to support our strategic transformation from a traditional data organization into a next generation interconnected data intelligence organization. The Team : The Knowledge Engineering team within data strategy and governance helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies. The Impact : Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets. Whats in it for you : The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. Its a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self. Responsibilities : Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery Design and prototype data / software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met Influence the strategic semantic vision, roadmap, and next-generation architecture Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools Qualifications: Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred 3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management) S&P Global Enterprise Data Organization is a unified, cross-divisional team focused on transforming S&P Globals data assets. We streamline processes and enhance collaboration by integrating diverse datasets with advanced technologies, ensuring efficient data governance and management. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. Were a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visit Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ---- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Greetings for the Day! At least 8 years experience in a similar role in data management/analytics/architecture or engineering Experience with solution design and data modelling Experience working with metadata and an appreciation for metadata frameworks and ontologies A technical understanding of data transport mechanisms An understanding of data mesh and data product concepts Technical or physical data lineage experience is preferable Evidenced experience in documenting requirements and designing solutions to meet objectives in an efficient and robust way Experience within project or risk management change environment Recognition of being strong communicator, with excellent written and oratory ability A track record as an Agile and change management practitioner Signs of having the enthusiasm to identify, learn and coach others in new data, modelling and risk processes

Job Title: Deputy Manager / Manager ? Taxonomy Operations Location: Noida Role Overview: We are looking for a Lead role ? Taxonomy Operations to lead and scale our taxonomy team, responsible for maintaining and optimizing the taxonomy health across critical entities like colleges, companies, skills, job titles/designations , and more. Your mission will be to improve data quality, reduce long-tail free text entries, and increase fill rates from job seekers selecting structured values from our master datasets. You will own the roadmap for taxonomy enrichment, identify gaps, and develop scalable and automated strategies to ensure high coverage, accuracy, and completeness across the platform. Key Responsibilities: Platform Health & Taxonomy Coverage Own and manage master taxonomies across key entities (colleges, companies, skills, designations, etc.). Ensure comprehensive coverage and alignment of taxonomy with industry standards and platform needs. Monitor and improve taxonomy fill rates across the job seeker funnel. Identify and reduce free-text long tail entries by driving structured value adoption. Data Quality & User Behavior Insights Analyze user input patterns to identify areas where structured selections are underutilized. Design interventions to nudge job seekers towards selecting from taxonomy masters. Collaborate with product and UX teams to improve UI/UX for better taxonomy adoption. Automation & Operational Scaling Develop automated pipelines for deduplication, clustering, synonym resolution, and enrichment. Ensure regular feedback is shared with the data science team for improving the prediction Build tools and dashboards to empower taxonomy analysts with faster and more accurate workflows. Cross-Functional Collaboration Work closely with product, engineering, data science, and operations teams to integrate taxonomy logic across the platform. Partner with marketing and B2B teams to ensure taxonomy supports business needs and campaigns. Team Leadership & Strategy Build, lead, and mentor a team of taxonomy analysts and specialists. Define OKRs and drive execution against operational targets and strategic goals. Success Metrics (KPIs): Fill Rate Improvement : % increase in structured field selection by job seekers (target: +15?20% YoY). Longtail Reduction : % reduction in unique free-text values across key entities (target: -30% YoY). Coverage Ratio : % of platform-wide records successfully mapped to taxonomy masters (target: >95%). Automation Efficiency : % of taxonomy tasks automated vs. manual (target: >70% automated). Turnaround Time (TAT) : Reduction in time to resolve taxonomy gaps or integrate new terms. Precision/Recall in normalization and classification pipelines (>95%). Required Skills and Experience: 7?10 years of experience in taxonomy/ontology management, data operations, or structured data systems. Experience working with recruitment/job platforms, e-commerce, or content-heavy platforms preferred. Strong analytical mindset with hands-on experience in data cleaning, clustering, and classification . Knowledge in Open AI, SQL, Python, or relevant scripting languages. Strong project management and stakeholder collaboration skills. Demonstrated ability to scale systems and teams.

Role & responsibilities 1) Experience on Foundry Ontology/Workshop/Slate 2) Experience with Python, PySpark/SQL 3) Able to build pipeline in Code Repository 4) Exposure to Postgres, JavaScript 5) Knowledge on AWS

Role & responsibilities Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager. Creating servers, databases, and datasets for functionality as needed. Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook). Ensuring conformance with security protocols and markings on sensitive data sets. Ensuring responsiveness of web applications developed on low code/no code solutions. Ensuring cross-platform optimization for mobile phones. Seeing through projects from conception to finished product. Proficiency with fundamental front-end languages such as HTML, CSS, MySQL, Oracle, MongoDB and JavaScript preferred. Proficiency with server-side languages for structured data processing- Python, Py Spark, Java, Apache Spark, and Spark SQL preferred.

Sr Software engineer Skills reuired: Strong software development skills, with proficiency in languages like Go, Java, or Python, or C/C++. Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools like Terraform or Ansible. Deep familiarity with containers (Docker) and orchestration (Kubernetes). Experience with access control models (RBAC, ABAC) and user lifecycle management. Strong problem-solving skills and the ability to work both independently and as part of a team. Palantir's Culture and Values: Palantir values excellence regardless of background and is committed to making the hiring process accessible to everyone. They encourage in-person collaboration, but many teams also offer hybrid work options. Palantir emphasizes "shift-left security" practices, embedding security considerations throughout the software development lifecycle.

Job title: R&D Data Modeling Manager Associate Location: Hyderabad Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference in patientsdaily lives, wherever they live and enabling them to enjoy a healthier life, As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with a strong commitment to developing advanced data standards to increase reusability & interoperability and thus accelerate impact on global health, The R&D Data Office serves as a cornerstone of this effort Our team is responsible for cross-R&D data strategy, governance, and management We partner with Business and Digital and drive data needs across priority and transformative initiatives across R&D Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more You will also be pivotal in developing sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable), Position Summary The primary responsibility of this position is to support semantic integration and data harmonization across pharmaceutical R&D functions In this role, you will design and implement ontologies and controlled vocabularies that enable interoperability of scientific, clinical, and operational data Your work will be critical in accelerating discovery, improving data reuse, and enhancing insights across the drug development lifecycle, Main Responsibilities Develop, maintain, and govern ontologies and semantic models for key pharmaceutical domains, including preclinical, clinical, regulatory, and translational research Design and implement controlled vocabularies and taxonomies to standardize terminology across experimental data, clinical trials, biomarkers, compounds, and regulatory documentation Collaborate with cross-functional teams including chemists, biologists, pharmacologists, data scientists, and IT architects to align semantic models with scientific workflows and data standards Map internal data sources to public ontologies and standards to ensure FAIR (Findable, Accessible, Interoperable, Reusable) data principles Leverage semantic web technologies and ontology tools to build knowledge representation frameworks Participate in ontology alignment, reasoning, and validation processes to ensure quality and logical consistency Document semantic assets, relationships, and governance policies to support internal education and external compliance Deliverables Domain-specific ontologies representing concepts such as drug discovery (e-g , compounds, targets, assays), preclinical and clinical studies, biomarkers, adverse events, pharmacokinetics / dynamics, mechanisms of action, and disease models built using OWL/RDF and aligned with public standards Controlled vocabularies & taxonomies for experimental conditions, cell lines, compound classes, endpoints, clinical trial protocols, etc Semantic data models supporting the integration of heterogeneous data sources (e-g , lab systems, clinical trial data, external databases) Knowledge graphs or knowledge maps for semantic integration of structured data from internal R&D systems Mappings to public ontologies, standards, and external knowledge bases like: CDISC, MedDRA, LOINC, UMLS, SNOMED CT, RxNorm, UniProt, DrugBank, PubChem, NCBI Ontology documentation & governance artifacts, including ontology scope, design rationale, versioning documentation, and usage guidelines for internal stakeholders Validation reports and consistency checks, including outputs from reasoners or SHACL validation to ensure logical coherence and change impact assessments when modifying existing ontologies Training and stakeholder support materials: slide decks, workshops, and tutorials on using ontologies in data annotation, integration, and search Support for application developers embedding semantic layers About You Experience: 5+ years of experience in ontology engineering, data management, data analysis, data architecture, or another related field Proven experience in ontology engineering, Proven experience in ontology development within the biomedical or pharmaceutical domain Experience working with biomedical ontologies and standards (e-g , GO, BAO, EFO, ChEBI, NCBI Taxonomy, NCI Thesaurus, etc ) Familiarity with controlled vocabulary curation and knowledge graph construction Demonstrated ability to understand end-to-end data use and business needs Knowledge and/or experience of Pharma R&D or life sciences data and data domains Understanding of FAIR data principles, data governance, and metadata management Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communication skills Strong networking, influencing, and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Knowledge and experience in ontology engineering and maintenance are required Knowledge and experience with OWL, RDF, SKOS, and SPARQL Familiarity with ontology engineering tools (e-g , Protg, CENtree, TopBraid Composer PoolParty), Familiarity with ontology engineering methodologies (e-g , NeOn, METHONTOLOGY, Uschold and King, Gr?ninger and Fox, etc ) Knowledge and experience in data modeling are highly desired Experience with pharma R&D platforms, requirements gathering, system design, and validation/quality/compliance requirements Experience with hierarchical data models from conceptualization to implementation, bachelors in computer science, Information Science, Knowledge Engineering, or related; Masters or higher preferred Languages: English null

As a Product Data Taxonomy Specialist in our eCommerce organization at MilliporeSigma, you will play a critical role in ensuring data governance, compliance, and effective taxonomy management across our extensive portfolio of over 350,000 products. You will be accountable for evolving, expanding, and enriching our product data taxonomy structure to support a best-in-class shopping experience for our customers. Who Are You: Lead the development of product category taxonomies to effectively organize and categorize our expansive and diverse catalog of reagents, chemicals, and instrumentation. Establish and maintain effective taxonomy structures that enhance product categorization and facilitate data retrieval. Develop and maintain standard operating procedures (SOPs) for implementing taxonomy changes. Collaborate with our Product Teams on establishing requirements and enhancements to Taxonomy Management Service/Application Conduct competitive research on product taxonomy structures, both internally and externally. Analyze website metrics and product discovery behaviors to drive data-informed decisions. Collaborate with stakeholders to promote the availability of high-quality, trusted data as a strategic asset in support of operational effectiveness and decision-making. Monitor and evaluate product data quality on an ongoing basis, identifying areas for improvement and driving corrective actions. Mentor internal users on data governance principles, taxonomy management, and compliance requirements. Educate technical and non-technical audiences on information architecture concepts. Basic/Minimum Qualifications: 2+ years of experience in Scientific Taxonomy/Ontology and its applications to eCommerce Taxonomy management, Search Engine management, or Information Architecture Bachelors degree in Chemistry, Biology, Materials Science, Data Science, or a related field. Experience working with PIM systems Familiarity with digital marketing, web content development, and the implications of product data structure on marketing strategies Experience creating and communicating technical requirements to engineering teams Strong understanding of data management best practices, including taxonomy management, metadata management, data quality management, and compliance frameworks. Understand the flow of e-Commerce product catalog information from search to checkout Preferred Qualifications: Masters Degree in Chemistry, Biology, Materials Science, Data Science, or a related field. Experience with scientific products and laboratory workflows Familiarity with database management concepts, and experience with advanced data manipulation techniques Demonstrable ability to devise, communicate, and implement information architecture strategy Deep familiarity with taxonomies, ontologies, and classification systems and their management Familiarity with machine learning and natural language concepts and applications Adept at diving deep into search including algorithms and technical details Intellectually curious, technically savvy, detail oriented, entrepreneurial

Product Knowledge, E-Commerce , taxonomy, ontology and catalog data to enhance search, recommendations, and AI-powered experiences. High-agency, AI/ML and product analytics. Writing SQL queries, automating workflows in Python and LLMs.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What you’ll do We are looking for experienced Knowledge Graph developers who have the following set of technical skillsets and experience. Undertake complete ownership in accomplishing activities and assigned responsibilities across all phases of project lifecycle to solve business problems across one or more client engagements. Apply appropriate development methodologies (e.g.agile, waterfall) and best practices (e.g.mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of assignments. Collaborate with other team members to leverage expertise and ensure seamless transitions; Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management. Assist in creating project outputs such as business case development, solution vision and design, user requirements, prototypes, and technical architecture (if needed), test cases, and operations management. Bring transparency in driving assigned tasks to completion and report accurate status. Bring Consulting mindset in problem solving, innovation by leveraging technical and business knowledge/ expertise and collaborate across other teams. Assist senior team members, delivery leads in project management responsibilities. Build complex solutions using Programing languages, ETL service platform, etc. What you’ll bring Bachelor’s or master’s degree in computer science, Engineering, or a related field. 4+ years of professional experience in Knowledge Graph development in Neo4j or AWS Neptune or Anzo knowledge graph Database. 3+ years of experience in RDF ontologies, Data modelling & ontology development Strong expertise in python, pyspark, SQL Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Project management and task planning experience, ensuring smooth execution of deliverables and timelines. Strong communication and interpersonal skills to collaborate with both technical and non-technical teams. Experience with automation testing Performance OptimizationKnowledge of techniques to optimize knowledge graph operations like data inserts. Data ModelingProficiency in designing effective data models within Knowledge Graph, including relationships between tables and optimizing data for reporting. Motivation and willingness to learn new tools and technologies as per the team’s requirements. Additional Skills: Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations Experience in pharma or life sciences dataFamiliarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus. Experience in manufacturing data is a plus Capability to simplify complex concepts into easily understandable frameworks and presentations Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects Travel to other offices as required to collaborate with clients and internal project teams Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Role & Responsibilities Design and implement a next-generation digital twin platform for healthcare payer workflows. Model healthcare processes into DTDL or ontology formats using Azure Digital Twins or Palantir Foundry. Lead integration of Celonis and Camunda for process mining and workflow automation. Develop and maintain real-time telemetry pipelines to enable live optimization via AI agents. Collaborate with cross-functional teams, including product managers, AI/ML engineers, and domain experts. Own architectural decisions ensuring scalability, security, and compliance with healthcare standards. Participate in technical reviews, performance tuning, and roadmap planning. Preferred Candidate Profile 10+ years of experience in healthcare technology, digital twin, or enterprise architecture. Proven expertise in tools like Azure Digital Twins, Palantir Foundry, Celonis, and Camunda. Deep understanding of payer-side operations and medical management workflows. Familiarity with IoT/event-streaming architectures and AI/ML pipeline integration. Strong grasp of healthcare data standards such as FHIR and HL7 is a plus. Excellent communication and stakeholder management skills. Prior experience delivering enterprise healthcare solutions for Indian or global clients is desirable

Job Title: Digital Twin Architect Healthcare (India / Remote) Location : Remote (India-based candidates preferred) Experience : 7+ Years Start Date : Immediate / As per notice period Type : Full-Time / Contract About the Role We are hiring experienced Digital Twin Architects to lead the design and build of a next-gen digital twin platform for medical management in the healthcare payer domain . This role involves working on Azure Digital Twins , Palantir Foundry , Celonis , Camunda , and integrating AI/telemetry pipelines for real-time feedback and optimization. If you have strong healthcare domain knowledge, especially in payer systems , and hands-on experience in digital-twin/ontology solutions, this is a unique opportunity to work on a global project with cutting-edge technology. Key Responsibilities Build and manage a digital-twin platform for payor-side medical workflows. Translate processes into DTDL or ontology models using Azure Digital Twins / Palantir Foundry. Use Celonis / Camunda for process mining and workflow improvements. Integrate AI agents and telemetry pipelines to enable live optimization. Collaborate with cross-functional teams (product, AI/ML, and business stakeholders). Own architectural decisions and ensure scalability and compliance. Must-Have Skills 7+ years of experience in digital twin , graph/ontology , or healthcare architecture . Strong understanding of payer operations / medical management workflows . Experience with tools such as: Azure Digital Twins or Palantir Foundry Celonis , Camunda Event-streaming/ IoT pipelines Excellent communication and stakeholder management skills. Good to Have Knowledge of FHIR / HL7 standards . Experience with AI/ML agent integration in live environments. Background in enterprise healthcare product implementation (India or global clients). Why Join Us? Opportunity to work on a global healthcare product . Be part of a high-impact project using the latest in AI, IoT, and digital twin tech. Remote-first culture with cross-border collaboration. Competitive compensation and flexible work hours.