Cognizant is seeking a Senior Product Architect-Clinical Ontology & Data Mapping Specialist to support the Matterhorn Ortho initiative. This role focuses on translating parameterized Orthopedic post-operative reports into the Apex ontology to enable standardized, ontologydriven reporting, while also evolving the Ortho ontology and Apex framework to support RX nonprocess compliance and future multispecialty expansion. Key Responsibilities \\+ Understand Apex ontology \\+ Translate parameterized Orthopedic post-operative outputs (in JSON format) into Apex ontologycompliant structures for standardized reporting. \\+ Define and document JSONtoontology mappings with semantic integrity and traceability. \\+ Review and refine the Matterhorn Ortho ontology graph to ensure RXNorm compliance. \\+ Partner with Apex ontology experts to recommend framework changes enabling multispecialty scalability. \\+ Collaborate with clinical, data science, and engineering teams to validate ontology and reporting outputs. Required Qualifications \\+ Strong working knowledge of orthopedics (clinical procedures, terminology, workflows). \\+ Handson experience with ontologies, knowledge graphs, or semantic data models. \\+ Understanding of Standardization frameworks like RXNorms, SNOMED \\+ Understanding of Insurance coding standards like CPT, ICD \\+ Proven ability to analyze and transform complex data structures \\+ Advanced proficiency working with complex Excel files. \\+ Strong analytical skills and ability to reason about ontological design implications. \\+ Excellent communication skills across clinical and technical stakeholders. Preferred Experience \\+ Experience with healthcare documentation, clinical reporting, or EHRadjacent platforms. \\+ Experience with Standardization frameworks like RXNorms, SNOMED \\+ Exposure to Insurance coding standards like CPT, ICD \\+ Exposure to multispecialty clinical systems or frameworks. \\+ Familiarity with ontologydriven analytics or reporting pipelines. Engagement Details Location: Remote (with periodic collaboration sessions as needed) \\\\Work model\\\\ We strive to provide flexibility wherever possible. Based on this roles business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project youre engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. \\\\Work Authorization:\\\\ Cognizant will only consider applicants for this position who are legally authorized to work in United States without requiring employer sponsorship, now or at any time in the future. \\\\Please note, this role is not able to offer visa transfer or sponsorship now or in the future.\\\\ \\\\Salary and Other Compensation:\\\\ Applications will be accepted until Apr 1 2026. The annual salary for this position is between $ 100,000 K -$ 155,000K depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizants discretionary annual incentive program, based on performance and subject to the terms of Cognizants applicable plans \\\\Benefits:\\\\ Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan \\\\Disclaimer:\\\\ The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

The role requires a strong working knowledge of orthopedics, including clinical procedures, terminology, and workflows. Hands-on experience with ontologies, knowledge graphs, or semantic data models is necessary. A solid understanding of standardization frameworks like RXNorms and SNOMED, as well as insurance coding standards such as CPT and ICD, is essential. The candidate must demonstrate a proven ability to analyze and transform complex data structures and possess advanced proficiency in working with complex Excel files. Strong analytical skills and the ability to reason about ontological design implications are also required, alongside excellent communication skills for interacting with clinical and technical stakeholders.