Senior Director, Commercial Data Engineering, Platforms & Products

Johnson & Johnson

. Establish the technology vision for the commercial data ecosystem across Innovative Medicine North America Commercial and the Global Commercial Strategy Organization .

Posted 10/14/2026full-timeUnited StatesSenior💰 $178,000 - $307,050 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in establishing and executing data strategies, managing enterprise data platforms, and leading high-performing data teams. Proficient in data governance, analytics, and modern cloud data ecosystems to drive business value and innovation.

Highest-signal resume keywords

Data Platform EngineeringData GovernanceCloud Data EcosystemDataOpsData Product Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ArchitectureData WarehouseStreaming DataMaster Data ManagementSelf-Service AnalyticsData QualityData LineageData CatalogingData ObservabilityAutomated Testing

Soft Skills

Executive-Level InfluenceExceptional Communication

Tools & Technologies

AWSAzureGCPDatabricksSnowflake

Industry Keywords

Data GovernancePrivacy RegulationsData StandardsData Product LifecycleOKRsKPIs

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Establish the technology vision for the commercial data ecosystem across Innovative Medicine North America Commercial and the Global Commercial Strategy Organization
Set and execute strategy for data foundations spanning launch excellence, sales and marketing, medical affairs, market access, patient engagement, and commercial operations
Influence strategy, architecture, and multi-year roadmap for core commercial data platforms
Advance a modern cloud data ecosystem supporting batch and real-time workloads across ingestion, storage, transformation, and consumption layers
Mature semantic and AI-context layers, master data management, and reference data
Drive platform reliability, performance, scalability, automation, DataOps, and total cost of ownership
Scale a data-as-a-product operating model with discoverable, reusable data products, clear ownership, service levels, documentation, and usability
Partner with business and analytics teams to translate business questions into data products and analytics assets
Enable self-service analytics and democratized access to trusted data while maintaining governance and control
Champion data governance, quality, lineage, cataloging, metadata management, privacy, security, and compliance-by-design
Ensure data foundations support responsible, auditable AI through data readiness, provenance, and observability
Build, lead, and develop a multidisciplinary team of data engineers, architects, product managers, and analytics professionals
Partner with Commercial Data and AI leadership, business teams, and technology partners to accelerate the data, analytics, and AI roadmap
Manage strategic vendors and partners across a buy/borrow/build model
Report to the Vice President, Commercial Data and AI

Requirements

What you’ll need

Bachelor’s degree required in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline
10+ years of progressive experience delivering enterprise data platforms, data products, and analytics at scale
5+ years building and leading high-performing data and analytics teams
Experience implementing data platform engineering practices that improve developer productivity, automation, reuse, and delivery velocity
Experience modernizing enterprise-scale platforms using DataOps, CI/CD, Infrastructure-as-Code, automated testing, data observability, reliability engineering, policy-as-code, DataGovOps, and data contracts
Deep expertise in modern data architecture and platforms, including lakehouse, data warehouse, and streaming
Hands-on fluency with AWS, Azure, GCP, Databricks, Snowflake, and modern data pipelines/ELT
Proven experience with data product management, semantic layers, master data management, self-service analytics, and core analytics
Strong command of data governance, data quality, cataloging, lineage, and metadata management
Working knowledge of data standards, privacy regulations, and governance expectations in regulated environments
Demonstrated ability to prioritize portfolios, manage investment across the data product lifecycle, and drive adoption and value realization through OKRs/KPIs
Exceptional written and verbal communication skills and executive-level influence

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
Long-term incentive program
Vacation – 120 hours per calendar year
Sick time – 40 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
Condolence Leave – 30 days for an immediate family member; 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours
Up to 10% domestic and international travel