Technical Director, Data Engineering

Johnson & Johnson

Confirmed live yesterday High trust
Closes tomorrow Hybrid

Quick summary

Work type
Hybrid
Location
Raritan, NJSao Paulo, BrazilSão José dos Campos, BrazilUnited Kingdom
Salary
$150,000–$258,750 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday
Closes
Sep 12, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $204k
$137k most similar roles pay here $272k

This role pays less than 52% of similar roles. Most pay $154,900–$248,500 — the shaded band above. At the midpoint, this role pays about $204k versus about $202k 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 46 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 42 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Technical Director, Data Engineering

Technical Director, Data Engineering will join the Information Security & Risk Management organization to lead the strategy and delivery of enterprise cybersecurity data capabilities. This role focuses on making security data trusted, accessible, and scalable by integrating cybersecurity, data engineering, analytics, automation, and artificial intelligence. The individual will build and modernize scalable data platforms, pipelines, models, and reusable products while improving asset intelligence, vulnerability analytics, and network telemetry. Key responsibilities include advancing the ISRM DataHub ecosystem, enhancing data quality, and implementing AI/ML and agentic AI use cases to reduce cyber risk. Required skills include proficiency in Python, SQL, Spark, cloud data services, APIs, and DataOps practices. The role addresses critical security domains including asset management, identity, and operational technology environments to improve transparency across various infrastructure components and ensure robuster decision-making through automated insights.

What you'll do

  • Define and implement the strategy and roadmap for ISRM data engineering, analytics, visualization, and AI capabilities.
  • Design and modernize scalable cybersecurity data platforms, pipelines, models, and reusable data products.
  • Improve asset intelligence, vulnerability analytics, network telemetry, and other critical risk domain reporting.
  • Increase adoption of the ISRM DataHub by improving data quality, usability, cataloging, and self-service features.
  • Identify and deliver AI/ML and agentic AI use cases to improve cybersecurity effectiveness and operational efficiency.
  • Establish and mature DataOps, DevOps, CI/CD, and governance controls for enterprise-grade cybersecurity capabilities.
  • Lead multi-functional initiatives from concept through delivery, including roadmap planning and value realization.
  • Coach and develop a diverse team of data engineers and analysts in advanced technical skills.

What we're looking for

  • A Bachelor's degree in Computer Science, Data Engineering, Cybersecurity, IT, Engineering, Mathematics, or a related field is required.
  • An advanced degree in a relevant technical field is preferred.
  • Demonstrated experience in data engineering, analytics, technology delivery, cybersecurity, cloud platforms, or enterprise IT is required.
  • Experience designing and operating large-scale cloud-based data platforms, pipelines, and advanced data architectures is required.
  • Proficiency with Python, SQL, Spark, cloud data services, APIs, and DevOps/DataOps practices is required.
  • Strong understanding of cybersecurity domains including asset management, vulnerability management, identity, and risk management is required.
  • Ability to lead technical teams and communicate complex strategies to senior leaders in a global environment is required.
  • Fluency in English with strong written and verbal communication skills is required.

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