Senior Data Architect - Data Management, Analytics, DS&AI

Sandoz India; Telangana; On-site; INR 4,200,000 - 6,200,000; Full time

Job summary

Sandoz India is hiring a Global Senior Data Architect for Global Development, Portfolio & Pipeline (GDPP) to define and own strategic data architecture across domains, ensuring scalable, compliant data foundations for business growth and regulatory compliance.

You will lead data modelling, integration, governance, and quality, mentor engineers and stewards, align with IDMP, EMA SPOR, GxP and GDPR standards, and drive enterprise decisions on data ownership and Master Data Management.

Qualifications

• Advanced degree in a relevant field and extensive experience in enterprise data architecture, data modelling, and governance.
• Proven track record implementing data integration and master data management in global organizations.
• Experience aligning data architecture with regulatory standards (IDMP, EMA SPOR) and governance controls.

Responsibilities

• Design, own, and evolve conceptual, logical, and physical data models for Global Development and Portfolio & Pipeline domains.
• Define and maintain a unified domain data model across multiple source systems and business functions.
• Lead data discovery, profiling, and modelling workshops with stakeholders to standardize critical entities.
• Establish and optimize data integration architecture, including data flows and source-to-target transformations.
• Set authoritative data ownership, mastering, and system accountability across the domain.
• Ensure alignment with enterprise data standards and regulatory frameworks including IDMP, EMA SPOR, GxP and GDPR.
• Design and implement governance controls covering data quality and lifecycle integrity.
• Provide technical leadership to data engineers, analytics engineers, and data stewards.

Skills

Data architecture

Data modelling

Data governance

Data integration

MDM

IDMP

EMA SPOR

GxP

GDPR

Data quality

Education

Bachelor's/Master's in CS/IS/Data Management

Job description

As a Global Senior Data Architect for Global Development, Portfolio & Pipeline (GDPP), you will define and own the strategic data architecture that supports critical business processes across Global Development and Portfolio & Pipeline. You will act as the technical authority for enterprise data modelling, integration, governance, and quality, ensuring a scalable, standardized, and compliant data foundation that enables business growth, operational excellence, and regulatory compliance.

Your Key Responsibilities

• Design, own, and continuously evolve the conceptual, logical, and physical data models for the Global Development and Portfolio & Pipeline domain.
• Define and maintain a unified domain data model, ensuring consistency across multiple source systems and business functions.
• Lead data discovery, source profiling, and data-modelling workshops with business stakeholders to identify and standardize critical business entities.
• Establish and optimize data integration architecture, including data flows, system interoperability, and source-to-target transformation strategies.
• Define and drive enterprise decisions regarding authoritative data ownership, mastering, and system accountability across the domain.
• Ensure alignment with Sandoz enterprise data standards, master data definitions, and regulatory frameworks including IDMP, EMA, and SPOR standards.
• Design and implement data governance controls covering GxP, GDPR, data classification, data quality, and integrity requirements throughout the data lifecycle.
• Provide technical leadership and architectural guidance to data engineers, analytics engineers, data stewards, and cross-functional delivery teams.

Kpi

• Adoption and compliance of the GDPP data model, standards, and governance framework across business and technology initiatives.

Essential Requirements

What You’ll Bring to the Role

• 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 in 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.