Associate Director, Safety Data Solutions Architect

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Horsham Pennsylvania United States of America Titusville New Jersey United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.

Learn more at Overview

Johnson & Johnson Global Medical Safety (GMS) is seeking an Associate Director Safety Data Solutions Architect to lead the target architecture standards and delivery roadmap for safety analytics on Google Cloud Platform (GCP). This role provides solution architecture leadership for pharmacovigilance and safety analytics translating safety science needs into validated scalable and compliant data and AI capabilities. Partner with Safety Analytics (SA) Data Scientists on LLM/GenAI use cases to ensure platform guardrails retrieval/inference patterns and compliance controls. The Architect will coordinate Principal-level data engineers and cross-functional teams to deliver trusted inspection-ready data products for downstream analytics and AI services. The role emphasizes architecture strategy regulatory readiness and responsible AI while ensuring alignment to enterprise patterns cost efficiency and operating excellence. A selective hands-on component focuses on reference implementations and golden-path templates that accelerate team adoption.

Key Responsibilities

• Translate architecture strategy into measurable outcomes by establishing baselines performance indicators and benefit-realization measures for data onboarding speed solution reuse platform reliability inspection readiness cost efficiency and time to insight for safety scientists.
• Partner with Safety Product Data Science and Technology leaders to translate business capabilities and scientific workflows into a multi-year data and platform roadmap including build-versus-buy recommendations investment sequencing adoption and value measures and the rationalization and retirement of legacy technologies.
• Establish governed AI lifecycle patterns and platform controls for the evaluation approval versioning deployment monitoring and reproducibility of AI-enabled solutions including defined human oversight provider portability rollback mechanisms and controlled use of models prompts retrieval sources and agent tools; maintain clear accountability boundaries between platform governance and scientific ownership of model behavior.
• Define domain-aligned data products and curated datasets for pharmacovigilance (signal detection case analytics predictive safety) with clear quality reliability and inspection-readiness criteria.
• Own target-state and transitional architectures across ingestion transformation storage serving and consumption on GCP (e.g. BigQuery Dataform Cloud Storage); drive reuse via reference architectures and patterns.
• Set guardrails for AI/ML and GenAI integrations (embeddings vector stores semantic retrieval RAG) with emphasis on explainability traceability and responsible AI; partner with SA Data Scientists without overlapping model development.
• Establish canonical data models data contracts and lifecycle practices; implement contract-first integration schema versioning and controlled interface evolution across producers/consumers.
• Chair design reviews; approve solution designs and enforce non-functional requirements (resilience scalability security observability SLOs); remove delivery blockers and ensure quality and compliance.
• Drive data quality governance and observability including validation standards lineage/metadata privacy and security controls (least privilege data minimization PII/PHI protections) and clear R&D vs. production pathways.
• Define standards for APIs microservices and retrieval services on GCP (e.g. Cloud Run GKE); establish reliability and security baselines (SLO/SLA targets error budgets zero trust secrets management telemetry).
• Promote event-driven and streaming architectures (e.g. Pub/Sub Dataflow) with contract-first integration backward-compatible evolution and robust monitoring.
• Partner with SA Data Scientists and MLOps to define contract-first model and inference interfaces (batch/online) including rate limits cost controls telemetry and audit logging; SA Data Scientists retain ownership of prompt design and model behavior.
• Govern CI/CD for data pipelines and analytics/retrieval services; embed policy-as-code testing artifact integrity and promotion gates; own cost governance (budgets showback/chargeback efficiency targets right-sizing usage policies).
• Coordinate Principal-level engineers scope and priorities across pipelines services feature stores and AI/ML integrations; manage cross-team dependencies; communicate decisions to technical and non-technical audiences; mentor teams and uplift standards.
• Hands-on (selective): Deliver and maintain reference implementations and design spikes (e.g. ingestion to BigQuery contract-first schemas Cloud Run service scaffolds Pub/Sub/Dataflow patterns) to de-risk delivery and accelerate adoption.

Required

• 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; partner with SA Data Scientists without owning model development.
• 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.

Preferred

• Masters degree in Computer Science Engineering or related field (or equivalent experience).
• Experience in pharmaceuticals life sciences healthcare or related regulated domains.
• Experience with Terraform (Infrastructure as Code) and CI/CD; policy-as-code.
• Exposure to feature store enablement and MLOps on GCP; familiarity with Vertex AI a plus.
• Certifications: Google Professional Cloud Architect or Professional Data Engineer; TOGAF; SAFe
• FinOps experience including budget management and efficiency tracking for cloud analytics workloads.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

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Required Skills:

Preferred Skills:

Advanced Analytics Consulting Critical Thinking Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Digital Fluency Econometric Models Mentorship Strategic Thinking Tactical Planning Technical Credibility

The anticipated base pay range for this position is :

$137000.00 - $235750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Companys long-term incentive program.

Subject to the terms of their respective policies and date of hire employees are eligible for the following time off benefits:

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

For additional general information on Company benefits please go to: - Experience:

Director