Associate Director, Safety Data Solutions Architect

Johnson & Johnson

. Lead target architecture, standards, and delivery roadmap for safety analytics on Google Cloud Platform .

Posted 10/27/2026full-timeUnited StatesSenior💰 $137,000 - $235,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data and analytics architecture on Google Cloud Platform, with a strong focus on pharmacovigilance and safety analytics. Proven ability to lead cross-functional teams, implement data governance practices, and establish scalable AI/ML capabilities.

Highest-signal resume keywords

Google Cloud Platform ArchitectureData Modeling for Analytics and MLLeadership in Regulated EnvironmentsData Governance and ComplianceAI/ML and GenAI Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSolution ArchitecturePerformance OptimizationData Contracts ImplementationSchema VersioningMetadata ManagementFeature EngineeringStreaming ArchitecturesCI/CD for Data PipelinesCost Governance

Soft Skills

Excellent CommunicationStakeholder ManagementInfluencing Senior Leaders

Tools & Technologies

BigQueryDataformCloud StoragePub/SubDataflowCloud RunGKETerraformVertex AIMLOps

Certifications & Qualifications

Google Professional Cloud ArchitectProfessional Data EngineerTOGAFSAFe

Industry Keywords

PharmacovigilanceLife SciencesHealthcareGxPCSVCSAAudit ReadinessChange ControlFinOpsPolicy-as-Code

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformMicroservicesTerraform

About the role

Key responsibilities & impact

Lead target architecture, standards, and delivery roadmap for safety analytics on Google Cloud Platform
Provide solution architecture leadership for pharmacovigilance and safety analytics
Translate safety science needs into validated, scalable, and compliant data and AI capabilities
Partner with Safety Analytics Data Scientists on LLM/GenAI use cases, platform guardrails, retrieval/inference patterns, and compliance controls
Coordinate Principal-level data engineers and cross-functional teams to deliver trusted, inspection-ready data products
Establish architecture baselines, performance indicators, and benefit-realization measures
Develop multi-year data and platform roadmaps, build-versus-buy recommendations, investment sequencing, and legacy technology rationalization
Establish governed AI lifecycle patterns and platform controls
Define domain-aligned pharmacovigilance data products and curated datasets
Own target-state and transitional architectures across ingestion, transformation, storage, serving, and consumption on GCP
Set guardrails for AI/ML and GenAI integrations including embeddings, vector stores, semantic retrieval, and RAG
Establish canonical data models, data contracts, lifecycle practices, schema versioning, and controlled interface evolution
Chair design reviews, approve solution designs, enforce non-functional requirements, and remove delivery blockers
Drive data quality, governance, observability, lineage, metadata, privacy, security, and inspection readiness
Define standards for APIs, microservices, and retrieval services on GCP
Promote event-driven and streaming architectures using Pub/Sub and Dataflow
Define contract-first model and inference interfaces with MLOps and Safety Analytics Data Scientists
Govern CI/CD for data pipelines and analytics/retrieval services; embed policy-as-code, testing, artifact integrity, and promotion gates
Own cost governance, including budgets, showback/chargeback, efficiency targets, right-sizing, and usage policies
Coordinate Principal-level engineers’ scope and priorities, manage dependencies, communicate decisions, and mentor teams
Deliver and maintain selective reference implementations and design spikes

Requirements

What you’ll need

10+ years in data/analytics engineering and architecture, including 3+ years in solution/enterprise architecture roles
Demonstrated leadership coordinating Principal/Senior engineers and cross-functional teams in regulated environments
Deep architecture experience on GCP: BigQuery, Dataform, Cloud Storage; orchestration and automation; familiarity with Pub/Sub, Dataflow; services on Cloud Run and/or GKE
Strong data modeling for analytics and ML (batch and streaming), performance optimization, and observability practices
Proven experience implementing data contracts, validation, schema versioning, lineage/metadata, and access control
Hands-on understanding of AI/ML and GenAI patterns for analytics (feature engineering, vector stores, semantic retrieval, RAG) with emphasis on explainability and controls
GxP/CSV/CSA experience for data and analytics platforms; audit readiness and change control
Excellent communication and stakeholder management; ability to simplify complex topics and influence senior leaders
Master’s degree in Computer Science, Engineering, or related field (or equivalent experience) preferred
Experience in pharmaceuticals, life sciences, healthcare, or related regulated domains preferred
Experience with Terraform (Infrastructure as Code) and CI/CD; policy-as-code preferred
Exposure to feature store enablement and MLOps on GCP; familiarity with Vertex AI a plus
Certifications such as Google Professional Cloud Architect, Professional Data Engineer, TOGAF, or SAFe preferred
FinOps experience, including budget management and efficiency tracking for cloud analytics workloads preferred

Benefits

Comp & perks

Retirement plan (pension)
Savings plan (401(k))
Long-term incentive program
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Inclusive interview accommodations
Hybrid work arrangement