Director, Data & AI Platforms

Johnson & Johnson

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raritan, NJ
Salary
$168,000–$290,950 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Nov 15, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $242k
This role $229k
$153k $307k
below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $205,000–$278,212 — the blue band above. At the midpoint, this role pays about $229k versus about $242k 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 43 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 31 roles with salary data.

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View all roles at Johnson & Johnson

At a glance

TL;DR · Director, Data & AI Platforms

The Director, Data & AI Platforms joins the Data & AI Architecture & Platforms team to lead the strategy and execution of enterprise data and AI platforms for DePuy Synthes. This leadership role involves managing four platform teams across the US and Bengaluru to consolidate a fragmented estate of regional data lakes into a single governed lakehouse. You will build and stabilize platforms for ingestion, BI, and AI runtime while managing transition services from Johnson & Johnson. Key responsibilities include owning the roadmap for AWS and Databricks environments, overseeing model serving, and enforcing DevSecOps practices. Required technical expertise includes Spark, SQL, Python, and experience with Amazon Bedrock, Unity Catalog, and Infrastructure-as-Code. You will solve complex data migration and integration problems to provide a foundation for analytics and agentic solutions.

What you'll do

  • Own the strategy, roadmap, budget, and operations for enterprise Data & AI platforms on AWS and Databricks.
  • Lead four platform teams covering core data integration, BI platforms, AI runtime, and platform reliability.
  • Consolidate regional data lakes and BI tools into one governed lakehouse with unified MDM and cataloging.
  • Manage the transition of platforms during the company separation and execute TSA exits from Johnson & Johnson systems.
  • Set engineering patterns for data quality, lineage, data contracts, and cost-efficient processing.
  • Direct global engineering pods in Bengaluru to ensure high-quality delivery and adherence to technical standards.
  • Serve as a member of the Architecture Review Board and present platform status and risks to senior leadership.
  • Manage key platform vendors, including commercial terms, consumption metrics, and performance standards.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • Master’s degree in Computer Science, Engineering, or a related field (preferred).
  • 15+ years of experience in data engineering, data platforms, or cloud engineering.
  • 7+ years of experience leading platform engineering teams and experience leading managers.
  • Proven delivery of enterprise lakehouse platforms on Databricks and AWS, including Unity Catalog.
  • Hands-on depth in Spark, SQL, Python, streaming, orchestration, and data modeling.
  • Experience running production AI/ML platforms, including model serving, RAG/retrieval, LLMOps/MLOps, and evaluation.
  • Strong DevSecOps, CI/CD, Infrastructure-as-Code (e.g., Terraform), and SRE practices, including FinOps.
  • Track record of consolidating or migrating legacy platforms at scale with measurable cost and reliability gains.
  • Experience leading distributed and offshore teams, and managing platform budgets and vendors.
  • Demonstrated ability to communicate with and influence VP and C-level stakeholders.
  • Experience in medical device, life sciences, or another regulated industry (preferred).
  • Experience with separations, divestitures, or TSA exits (preferred).
  • Experience with semantic layers, data products, and data marketplaces (preferred).
  • Experience with agentic AI platforms (preferred).
  • Databricks, AWS, or Kubernetes certifications (preferred).
  • English proficiency required.

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