Data Governance & Analytics Lead (GA4)

Role: Data Governance & Analytics Lead (GA4) Location: Raritan NJ (Onsite) Duration: Long Term Key Responsibilities 1 GxP Compliant Analytics Architecture Validation • Design and implement validated GA4 architectures aligned with GXP 21 CFR Part 11 and internal SDLCCSV frameworks Develop and maintain validation documentation including • User Requirements Specification URS • Functional Specification FS • Design Specification DS • Installation Qualification IQ • Operational Qualification OQ • Performance Qualification PQ • Ensure analytics implementations meet ALCOA principles Attributable Legible Contemporaneous Original Accurate • Partner with Quality Assurance QA and Computer System Validation CSV teams to support system qualification and audit readiness 2 Data Governance Security Compliance • Establish enterprise wide data governance frameworks for digital analytics data across patient HCP and consumer platforms Implement controls to ensure compliance with HIPAA Protected Health Information handling • GDPR CCPA data privacy and consent • Internal JJ security and risk management standards • Configure role based access control RBAC audit trails and logging mechanisms for analytics platforms Ensure restricted access to sensitive logs and enforce segregation of duties SoD 3 Tag Management Controlled Tracking Framework • Lead implementation using Google Tag Manager under controlled deployment pipelines Dev QA Prod Develop standardized validated event tracking frameworks for • Patient engagement journeys • Clinical and digital health applications • Marketing and HCP engagement platforms • Implement change control processes for all tracking updates ensuring traceability and approval workflows Enforce version control rollback mechanisms and audit logging for all tagging activities 4 Data Integration Regulated Data Engineering • Integrate analytics data with enterprise platforms such as • Clinical systems • CRM eg Veeva SFDC Health Cloud • Data lakeswarehouses like Google BigQuery. • Design pipelines that ensure • Data lineage and traceability Validation of transformations • Controlled ingestion of regulated data • Collaborate with data engineering teams to enable validated ETL ELT processes 5 Reporting Auditability Inspection Readiness • Develop compliant dashboards using Looker Studio and enterprise BI tools • Ensure all reports are • Traceable to source data • Reproducible and validated • Aligned with approved business logic • Support regulatory inspections and internal audits by providing • Documentation evidence • Data lineage reports • Access logs and validation artifacts 6 Privacy First ConsentDriven Analytics • Implement consent management integrations ensuring user tracking aligns with patient privacy requirements • Design data minimization strategies to avoid collection of unnecessary sensitive data • Enable anonymizationpseudonymization techniques within GA4 • Ensure strict separation between PHI and nonPHI datasets 7 Monitoring Automation Risk Mitigation • Build automated monitoring frameworks for • Tagging failures • Data discrepancies • Compliance violations • Implement proactive alerting and incident response mechanisms • Develop scripts and tools for continuous compliance checks and audit readiness