Data Product Analyst

Genpro Life Sciences India; Thiruvananthapuram; Hybrid; INR 9,560,000 - 13,384,000; Full time

Job summary

Worldwide Clinical Trials is seeking a Data Product Analyst to govern and manage clinical data assets as scalable, high-quality products powering insights and AI initiatives. You will ensure data production-readiness, metadata lineage, and strict access controls across the data supply chain.

You will drive end-to-end data product lifecycle, collaborate with stakeholders to define done criteria, implement automated governance checks, and monitor pipelines for reliability and security.

Qualifications

• Bachelor's or Master's degree in Data Science, Information Systems, or a related technical field.
• Demonstrated experience in data governance and/or master data management, preferably within regulated life sciences or clinical research.

Responsibilities

• Governance and Master Data Management for core entities across AI and analytics products.
• Define end-to-end data product lifecycle and ensure quality, security, and accessibility standards.

Skills

Data governance

MDM

Data quality

CI/CD

Observability

Education

Bachelor's degree in a relevant field

Tools

Azure

Databricks

Microsoft Purview

Unity Catalog

Profisee

Informatica

Ataccama

Job description

Data Product Analyst

Data Product Analyst

Data Product Analyst

Location: Global (Hybrid/Remote)

Department: Data Operations and Technology

Data Product Analyst

Role Overview

Worldwide Clinical Trials is looking for a Data Product Analyst to manage the lifecycle of our clinical data assets. In this role, you will treat data not just as a resource, but as a high-quality product that powers our clinical insights and emerging AI initiatives. You will be responsible for the "production-readiness" of our data, focusing on data governance and master data management to ensuring that the data products feeding our data intelligence, analytics, Generative AI (GenAI), and Agentic AI systems are governed, reliable, and scalable.

Key Responsibilities

Data Governance and Master Data Management (MDM)

• Act as the custodian of the Master Data Management strategy, ensuring core entities (e.g., sites, patients, investigators) remain consistent across all AI and analytics products.
• Enforce Data Governance through unified metadata management, ensuring that every data product has clear lineage and strict access controls.
• Ensure data products comply with global clinical regulations and privacy standards through automated governance checks within the pipeline.

Data Product Strategy and Lifecycle

• Manage the end-to-end lifecycle of data products, ensuring they are organized and packaged to enable easy access for downstream users.
• Collaborate with stakeholders to define "Definition of Done" for data assets, incorporating quality, security, and accessibility standards.

DataOps and Pipeline Excellence

• Oversee the health of the data "assembly line," utilizing automated testing and CI/CD principles to ensure continuous delivery of data products.
• Implement real-time monitoring and observability to detect pipeline anomalies before they impact downstream dashboards, AI models, or other applications.
• Reduce "data debt" by standardizing transformation logic and promoting the reuse of modular data components.

Technical Requirements

• Cloud Infrastructure: Professional experience within the Azure cloud environment.
• Data Platform: Experience with data warehouses and/or Databricks.
• Governance & Lineage: Hands-on experience with Microsoft Purview and/or Databricks Unity Catalog for centralized discovery and access control.
• MDM: proficiency with Profisee, Informatica, or Ataccama.

Qualifications

• Bachelors or Masters degree in Data Science, Information Systems, or a related technical field.
• Demonstrated experience data governance and/or master data management, preferably within a regulated industry like Life Sciences or Clinical Research.

Why Worldwide Clinical Trials?

You will be at the forefront of our data strategy, helping to revolutionize how clinical data is harnessed to bring life-saving treatments to market. We value automation, transparency, and a commitment to quality as we build the "Trusted Factory" for the clinical trials of tomorrow.