Data Governance & Analytics Lead (GA4)

Smart IT Frame LLC; Raritan (NJ); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading technology provider is seeking a Data Governance & Analytics Lead in Raritan, NJ. The role involves designing validated GA4 architectures, establishing data governance frameworks, and leading implementations using Google Tag Manager. Candidates should possess strong knowledge of GxP compliance and data integration with enterprise platforms. The position requires expertise in developing compliant dashboards and ensuring strict data handling practices. This is a long-term opportunity with an onsite work requirement.

Qualifications

• Experience in establishing data governance frameworks and compliance controls.
• Expertise in designing validated architectures aligned with GxP regulations.
• Proficient in using Google Tag Manager for controlled tracking.

Responsibilities

• Design and implement validated GA4 architectures.
• Establish data governance frameworks for digital analytics.
• Lead implementation using Google Tag Manager.
• Integrate analytics data with enterprise platforms.
• Develop compliant dashboards using Looker Studio.

Skills

GxP Compliance

GA4 Architecture Validation

Data Governance

Google Tag Manager

Data Integration

Tools

Looker Studio

Google BigQuery

Job description

Overview

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
• 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
• 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
• 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
• Access logs and validation artifacts
• Implement consent management integrations ensuring user tracking aligns with patient privacy requirements
• Design data minimization strategies to avoid collection of unnecessary sensitive data
• Enable anonymization and pseudonymization techniques within GA4
• Ensure strict separation between PHI and nonPHI datasets
• Build automated monitoring frameworks for
• Compliance violations
• Implement proactive alerting and incident response mechanisms
• Develop scripts and tools for continuous compliance checks and audit readiness