Hiring: Lead – Data & Process Management

Location: Hyderabad, India

Employment Type: Full time | Permanent

Are you passionate about transforming business decisions through data, analytics, and governance? We are looking for an experienced Lead – Data & Process Management to drive data excellence, governance, and commercial data operations while leading a high-performing analytics team.

This is an exciting opportunity to work at the intersection of Data Management, Commercial Analytics, Omnichannel Operations, and Business Transformation, helping stakeholders make data-driven decisions through scalable processes and high-quality insights.

Key Skills:

Data Governance & Data Quality Management

Omnichannel Data Management

Commercial Analytics & Business Insights

SQL, Power BI, Tableau, Qlik, Informatica, Alteryx, Dataiku

Team Leadership & Stakeholder Management

Pharma Data Sources (IQVIA, One Key, Value Centric preferred)

Key Responsibilities

Data Governance & Data Management
Lead data governance, stewardship,



and data quality initiatives across business functions. Define and implement data standards, policies, and best practices. Drive master data management and end-to-end data lifecycle management processes. Ensure compliance with data privacy, regulatory, quality, and cybersecurity requirements. Commercial Data Operations
Support commercial and omnichannel data operations through effective data management strategies. Develop and optimize data models, workflows, and automation solutions. Monitor and improve data quality, accessibility, integration, and reporting capabilities. Deliver actionable insights that support business objectives and strategic decision-making. Leadership & Team Management
Lead, mentor, and develop a team of analytics and data management professionals. Support hiring, onboarding, capability development, and resource planning. Drive operational excellence and continuous improvement initiatives. Foster collaboration, innovation, and kn

📌 Manager (Hyderabad)
🏢 GlobalHunt
📍 Hyderabad