Job Description
Roles & Responsibilities
- Design and maintain data models that support analytics, reporting, and operational use cases across Health Services.
- Optimise data models for performance, ensuring they are scalable, efficient, and meet the needs of data scientists, analysts, and downstream consumers.
- Develop and evolve Silver and Gold data layers, embedding holistic business logic and enabling consistent, reusable data assets across the organisation.
- Collaborate with data engineers to ensure accurate ingestion, transformation, and representation of data within the models.
- Work closely with the Data Office, including the Head of Data, Data Science Lead, Data Governance Lead, and BI Team Leads, to align modelling efforts with strategic priorities .
Qualifications, Training And Experience
- Proven experience in designing and maintaining conceptual, logical, and physical data models.
- Strong understanding of data modelling principles, relational databases, and
performance optimisation techniques.
- Proficiency in SQL and data modelling tools.
- Experience working with data engineers to ensure accurate ingestion and transformation of data.
- Ability to optimise models for analytical performance and usability by data scientists and analysts.
- Familiarity with developing and managing Silver and Gold data layers to support scalable, reusable data assets.
- Excellent documentation skills, including data dictionaries and metadata repositories.
- Strong collaboration and communication skills, with the ability to work across technical and non-technical teams.
- Previous experience in healthcare or clinical industries, or a strong understanding of operational and customer contexts in Health Services.
- Experience of working with clinical data sets and ontologies to design data models for reporting and analytical use cases as well as a strong understanding of clinical terminologies and its application in health and clinical settings (e.g. ICD-10, FHIR, OMOP)
- Understanding of data governance, privacy, compliance, and regulatory principles and considerations in healthcare.and enterprise data standards.
- Translate complex data requirements into structured models that support data-led transformation and enable actionable insights.
- Document data models, metadata, and data dictionaries to support transparency, governance, and cross-functional understanding.
- Ensure alignment with enterprise data strategy, governance frameworks, and innovation initiatives, acting as a bridge between Health Services and the wider CDAO function.
- Contribute to continuous improvement by evaluating new tools, techniques, and best practices in data modelling and architecture.
- Lead the development and adoption of enterprise-wide data modelling standards and reusable patterns.
- Ensure alignment of data models with enterprise data strategy, governance frameworks, and business transformation goals.
- Mentor junior data modellers and analysts and lead design reviews to ensure modelling consistency and quality
Time Type
Full time
Job Area
Locations:
Bupa Capability Centre India
