# Senior Principal Solution Architect, Clinical Data Analytics & Technology at Novartis

Novartis is hiring a Senior Principal Solution Architect, Clinical Data Analytics & Technology in Hyderabad, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/3a422703-b52f-4a03-ae33-5d5744636786?utm_medium=ai-agent).

AI Level 1, AI centrality 9 out of 100. Hyderabad (Office).

## Details

- Company: [Novartis](https://jobsbylevel.com/companies/novartis)
- AI level: AI Level 1 (score 9 out of 100)
- Location: Hyderabad (Office)
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/3a422703-b52f-4a03-ae33-5d5744636786?utm_medium=ai-agent

## Description

Job Description Summary Role Type: Hybrid Working, #LI-Hybrid 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. Job Description 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 Risk-Based Quality Management and clinical data analytics supporting global clinical trials. Hands-on experience configuring Central Monitoring platforms, such as CluePoints or an equivalent Risk-Based Quality Management system. Demonstrated experience developing and governing Key Risk Indicators, Quality Tolerance Limits, risk signals, and statistical monitoring models (DQA). Strong understanding of clinical trial data, centralised monitoring methodologies, data integration, and clinical data-quality oversight. Experience mentoring technical or analytics professionals and providing leadership across cross-functional clinical study teams. Strong knowledge of International Council for Harmonization E6(R3), risk-based monitoring principles, and clinical trial quality management. Proven ability to deliver process improvement, automation, innovation, and scalable analytics solutions within a regulated environment. Interpret protocols, monitoring plans, quality plans, critical data, endpoints, CtQ factors, risks, and study-specific needs Understanding ingestion, harmonization, mapping, transformation and data from different sources like EDC, CTMS, IRT/IWRS, laboratory and other third-party data Use SAS, SQL, R, Python or equivalent languages for data manipulation, analytics, automation, and troubleshooting Manage setup, go-live, refreshes, change requests, protocol amendments, troubleshooting, and study closeout/archival activities Deliver assigned work on time and to first time-right quality standards. Desirable Requirements Experience applying artificial intelligence and machine learning to clinical risk detection and monitoring. Advanced experience with data visualisation, analytics dashboards, and statistical monitoring methodologies. Experience ensuring technology and analytics solutions comply with Good Practice quality requirements and healthcare data-privacy regulations. Experience establishing technical standards, governance frameworks, and best practices across a

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Source: https://jobsbylevel.com/jobs/senior-principal-solution-architect-clinical-data-analytics-technology-at-novartis-4da16a

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-principal-solution-architect-clinical-data-analytics-technology-at-novartis-4da16a.

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