Senior Data Consultant (Data Modelling & Insurance/Reinsurance Domain)

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our Challenge:

We are seeking a highly skilled Senior Data Consultant with deep expertise in insurance and reinsurance domains, complemented by extensive experience in ontology engineering and semantic modeling. This senior practitioner will spearhead the design and development of formal ontologies that translate complex insurance KPIs, reporting structures, and business terminologies into machine-interpretable semantic models aligned with OWL 2 / RDF standards. The ideal candidate will bridge the gap between domain knowledge and formal ontology engineering, enabling advanced semantic data architectures and knowledge graphs that support enterprise data analytics, governance, and automation.

Additional Information*

The base salary for this position will vary based on geography and other factors.

In accordance with law, the base salary for this role if filled within Philadelphia, PA is $110K - $120K/year & benefits (see below).

Responsibilities:

• Lead the design, development, and maintenance of formal ontologies that model insurance and reinsurance concepts, KPIs, and reporting hierarchies.
• Translate business glossaries, KPI definitions, and financial reporting structures into ontology classes, properties, restrictions, and individuals using OWL 2 / RDF standards.
• Collaborate with insurance domain experts, data stewards, and business stakeholders to ensure ontologies accurately reflect domain semantics and business rules.
• Develop conceptual, logical, and physical data models aligned with insurance industry practices, integrating ontology specifications.
• Utilize ontology authoring tools such as Protégé, WebProtégé, Metaphactory, or TopBraid to create and modify semantic data models.
• Contribute to enterprise knowledge graphs and semantic models, including alignment with industry standards such as FIBO or ACORD.
• Execute SPARQL queries for validation, data retrieval, and consistency checks of graph-based insurance data.
• Support data governance initiatives by documenting data lineage from source systems to reports, ensuring transparency and compliance.
• Implement data quality rules, manage Critical Data Elements (CDEs), and promote data stewardship practices.
• Work closely with technical teams to integrate ontologies into application architectures, knowledge graphs, and semantic repositories.

Required Skills:

• At least 5+ years of professional experience in insurance or reinsurance domains.
• Proven experience in data modeling and ontology engineering within financial services or related sectors.
• Demonstrated ability to design and implement conceptual, logical, and physical data models in complex enterprise environments.
• Practical experience with ontology authoring tools such as Protégé, WebProtégé, Metaphactory, or TopBraid.
• Hands-on experience creating or contributing to enterprise semantic data models, knowledge graphs, or industry standards such as FIBO and ACORD.
• Ability to formalize business glossary terms, KPIs, and reporting hierarchies into ontology constructs (classes, properties, restrictions, individuals).
• Good working knowledge of SPARQL for querying and validating graph data.

Preferred, but not required:

• Experience with end-to-end data lineage documentation, from source systems to BI reporting.
• Familiarity with data governance tools such as Microsoft Purview, Microsoft Fabric Data Catalog, or equivalent.
• Knowledge of Critical Data Elements (CDEs), data quality rule libraries, and data stewardship models.
• Understanding of semantic web technologies, RDF vocabularies, and OWL reasoning.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.