Architect, design, and lead the technical execution of modernizing enterprise Master Data Management systems by integrating AI/ML capabilities for data matching, entity resolution, and data enrichment
Act as the primary technical architect for the foundational Healthcare Professional (HCP), Healthcare Organisation (HCO), and Business Partner/Vendor master data initiatives, ensuring high-fidelity modeling and scalability for subsequent domains
Define the blueprints and mapping rules required to connect transactional master data with unified semantic layers, ontologies, and enterprise knowledge graphs
Ensure that master data models are fully machine-readable and explicitly structured to serve as the "ground truth" for Large Language Models (LLMs), effectively mitigating hallucinations through semantic mapping
Act as the crucial technical bridge between raw infrastructure engineers, data platform managers, and business-focused clinical stakeholders to align technological implementation with industry context
Evaluate and integrate emerging semantic technologies and vendor systems to continuously reduce technical debt within the data management layer while ensuring compliance by design
Requirements
Knowledge of healthcare data models, clinical/commercial nomenclatures , and the specific nuances of managing HCP and HCO master records in a highly regulated landscape
Proven background in building and deploying AI/ML services that intersect directly with large-scale data structures, metadata, or graph architectures
Extensive professional experience in enterprise data architecture , data modeling (relational, graph, and dimensional), and distributed cloud data platforms
Robust technical familiarity with semantic layer design , metadata repositories, semantic web standards (RDF, OWL, SPARQL), and graph databases
Prior experience executing solutions in alignment with strict compliance environments (such as GxP, data privacy laws, or ICFR frameworks) is highly preferred.
Good to know
Reltio , AWS , graph databases
Tech Stack
AWS
Cloud
Benefits
Annual bonus payment based on your performance
Dedicated training budget (training, certifications, conferences, diversified career paths etc.)
Recharge Fridays (2 Fridays off per quarter available)
Take time Program (up to 3 months of leave to use for any purpose)
Vacation subsidy available
Flex Location (possibility to perform our work from different places in the world for a certain period of time)
Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice)