Senior Principal Solution Architect, Clinical Data Analytics (Mumbai)

Summary

Role Type: Hybrid Working,

Primary Location: Hyderabad, India

Other Location: Mumbai, India

Relocation Support: Yes

What if your technical leadership could transform how clinical trial risks are detected and managed? As Principal Solution Architect, Clinical Data Analytics & Technology ( RBQM Data Analyst), you will design and deliver scalable central monitoring analytics and technology solutions that strengthen clinical data quality, trial oversight, and operational efficiency. Combining hands-on development with cross-functional leadership, you will shape Central Monitoring platforms, risk indicators, statistical monitoring models, and advanced analytics that enable proactive, data-driven decisions across the clinical studies.

About The Role

Key Responsibilities

• Lead the design and continuous improvement of Central Monitoring platform configurations and dashboards.
• Develop and govern Key Risk Indicators, Quality Tolerance Limits, risk signals, and statistical monitoring models/ DQA.
• Draft Central monitoring platform specification and refer clinical protocol, CRF, Study ALS and vendor data transfer specification.
• Platform setup, quality control, validation, and go-live readiness across the assigned trials ( 3-5 studies).
• Partner with Clinical, Central monitoring, data management, biostatistics and technology teams to deliver effective analytics strategies.
• Provide technical leadership for data integration, risk analytics, visualisation, troubleshooting, and platform performance.
• Drive automation, standardisation, artificial intelligence, machine learning, and advanced analytics across monitoring operations.
• Mentor Risk-Based Quality Management Data Analysts and strengthen organisational capability through coaching and knowledge sharing.

Essential Requirements

• More than nine to eleven years of relevant experience in the pharmaceutical, biotechnology, clinical research, or healthcare technology industry.
• Extensive experience in R