4 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design, own, and continuously evolve conceptual, logical, and physical data models for the Global Development and Portfolio & Pipeline domain.
- Define and maintain a unified domain data model across source systems and business functions.
- Lead data discovery, source profiling, and data-modelling workshops with business stakeholders.
- Establish and optimize data integration architecture, data flows, system interoperability, and source-to-target transformation strategies.
- Define enterprise decisions regarding authoritative data ownership, data mastering, and system accountability.
- Align domain architecture with enterprise data standards, master data definitions, and regulatory frameworks.
- Design and implement data governance controls for GxP, GDPR, data classification, data quality, and data integrity.
- Provide technical leadership and architectural guidance to data engineers, analytics engineers, data stewards, and cross-functional delivery teams.
- Lead architecture reviews and establish enterprise-wide data modelling standards and best practices.
Requirements
- Bachelor’s or master’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline.
- Extensive experience in enterprise data architecture, data modelling, and data governance within complex global organizations.
- Strong expertise designing conceptual, logical, and physical data models for large-scale business domains.
- Proven experience defining and implementing enterprise data integration and master data management strategies.
- Strong understanding of pharmaceutical, clinical development, regulatory, or life sciences data domains.
- Experience with IDMP, EMA, SPOR, GxP, and GDPR requirements.
- Ability to influence senior stakeholders and drive alignment across decentralized teams and multiple business functions.
- Experience leading architecture reviews and establishing enterprise-wide data modelling standards and best practices.
- Strong analytical, communication, stakeholder management, and problem-solving skills.
- Fluent written and spoken English.
- Experience with modern cloud data platforms and enterprise analytics ecosystems is desirable.
- Knowledge of data mesh, data fabric, semantic modelling, and emerging enterprise data architecture methodologies is desirable.
Benefits
- Competitive compensation and comprehensive benefits package.
- Flexible and hybrid working opportunities supporting work-life balance.
- Access to continuous learning, professional development, and leadership growth programs.
- Exposure to global projects, innovative technologies, and cross-functional collaboration.
- Inclusive culture supporting diversity, innovation, and personal growth.
- Impactful, flexible-hybrid career in a global organization.
Categories
Data Engineering
About Sandoz
Sandoz develops, manufactures, and markets generic medicines, biosimilars, and over-the-counter products for patients, health systems, and pharmacies worldwide. Headquartered in Basel, Switzerland, it became an independent, publicly traded company in 2023 following a spin-off from Novartis and is listed on the SIX Swiss Exchange. Its portfolio spans many therapeutic areas and is supplied to more than 100 countries through hospital, retail, and tender channels.