Associate Director, Safety Data Solutions Architect

Johnson & Johnson

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Horsham, PATitusville, NJ
Salary
$137,000–$235,750 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today
Closes
Nov 21, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $222k
This role $186k
$122k $280k
below market most similar roles pay here above market

This role pays less than 74% of similar roles. Most pay $185,819–$259,111 — the blue band above. At the midpoint, this role pays about $186k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 49 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 40 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Associate Director, Safety Data Solutions Architect

The Associate Director, Safety Data Solutions Architect joins the Global Medical Safety team to lead the target architecture, standards, and delivery roadmap for safety analytics on Google Cloud Platform. This role involves translating pharmacovigilance and safety science needs into scalable, compliant data and AI capabilities. The architect will coordinate principal-level data engineers to deliver inspection-ready data products, establishing governed AI lifecycle patterns and platform controls. Key responsibilities include defining data products for signal detection, managing ingestion and transformation via BigQuery, Dataform, and Cloud Storage, and overseeing APIs on Cloud Run and GKE. The position requires expertise in Pub/Sub, Dataflow, and GenAI patterns like RAG and vector stores. The role solves complex technical problems in a regulated environment, ensuring data quality, privacy, and regulatory readiness for medical safety analytics.

What you'll do

  • Lead the target architecture, standards, and delivery roadmap for safety analytics on Google Cloud Platform.
  • Translate business capabilities and scientific workflows into a multi-year data and platform roadmap.
  • Establish governed AI lifecycle patterns and platform controls for evaluating and deploying AI-enabled solutions.
  • Define domain-aligned data products and curated datasets for pharmacovigilance with clear quality and reliability criteria.
  • Own target-state and transitional architectures across ingestion, transformation, storage, and consumption on GCP.
  • Establish canonical data models, data contracts, and lifecycle practices including schema versioning and interface evolution.
  • Chair design reviews to approve solution designs and enforce non-functional requirements like resilience and security.
  • Coordinate Principal-level engineers' scope and priorities while managing cross-team dependencies and technical mentoring.

What we're looking for

  • 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 including BigQuery, Dataform, Cloud Storage, Pub/Sub, Dataflow, Cloud Run, and GKE.
  • Strong data modeling for analytics and ML, 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, including vector stores, semantic retrieval, and RAG.
  • GxP/CSV/CSA experience for data and analytics platforms, including audit readiness and change control.
  • Preferred 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, CI/CD, policy-as-code, and MLOps on GCP (Vertex AI).
  • Preferred Google Professional Cloud Architect or Professional Data Engineer certification.
  • Preferred TOGAF and SAFe FinOps experience, including budget management and efficiency tracking.

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