Senior Director, Commercial Data Engineering, Platforms & Products

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at jnj.com

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:

Project/Program Management Group

Job Sub Function:

Project/Program Management

Job Category:

Professional

All Job Posting Locations:

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

Job Description:

Johnson & Johnson Innovative Medicine Technology is recruiting for the Senior Director, Commercial Data Engineering, Platforms & Products . The primary location for this position is Titusville, NJ , with consideration given to Raritan, NJ, and Horsham, PA . This role may require up to 10% domestic and international travel.

Johnson & Johnson Innovative Medicine Technology is seeking an exceptional data leader to establish the technology vision for the commercial data ecosystem, driving modernization, engineering excellence, and architectural innovation across the Innovative Medicine North America (NA) Commercial business and the Global Commercial Strategy Organization (GCSO). Reporting to the Vice President, Commercial Data and AI, the Senior Director, Commercial Data Platforms & Products will set and execute the strategy for our organization data foundations, spanning launch excellence, sales and marketing, medical affairs, market access, patient engagement, and commercial operations.

This role presents a unique opportunity to shape the future data, analytics, and AI foundation of one of the world's leading healthcare organizations. The successful candidate will influence enterprise technology strategy, accelerate data platform modernization, and help define how data and AI capabilities evolve together to create competitive advantage and business impact. You will lead the architecture, engineering, governance, and productization of our data assets, ensuring it is discoverable, reliable, well-governed, and consumable by analysts, data scientists, AI systems, and business users alike. In doing so, you will provide the data foundation on which the broader Commercial Data and AI portfolio runs, inclusive of generative and agentic AI.

You will build and lead a high-performing team of data platform engineers, data product managers, data architects, and analytics practitioners, stewarding significant annual investment across the buy/borrow/build continuum to deliver with speed and scale. Success in this role requires the rare combination of deep technical fluency in modern data architecture, commercial pharmaceutical acumen, product-oriented thinking, executive influence, servant leadership, and a disciplined focus on trusted, compliant delivery.

Key Responsibilities

Data Platform Strategy & Modern Architecture

Influence and drive the strategy, architecture, and multi-year roadmap for the core commercial data platforms that serve Commercial, Medical, and Patient organizations across IM NA Commercial and GCSO, ensuring a scalable, cost-efficient, and future-ready foundation.

Advance a modern cloud data ecosystem (e.g., lakehouse, streaming, and warehouse patterns) that supports batch and real-time workloads, and set direction across ingestion, storage, transformation, and consumption layers.

Mature the semantic and AI-context layers, master data management, and reference data so that data is consistent, contextualized, and ready to power analytics, machine learning, and agentic AI.

Drive platform reliability, performance, scalability, and total cost of ownership through sound engineering practices, automation, and DataOps.

Data Products at Scale

Scale the established a data-as-a-product operating model, delivering well-defined, discoverable, and reusable data products with clear ownership, service levels, documentation, and consumer-grade usability.

Partner with business and analytics teams to translate priority business questions into high-value data products and analytics assets, measured by adoption, reuse, and business outcomes.

Enable self-service analytics and democratized access to trusted data, reducing time-to-insight while maintaining governance and control.

Data Governance, Quality & Compliance (Data Contracts, PaC, DataGovOps)

Champion enterprise data governance, data quality, lineage, cataloging, and metadata management so that data is trustworthy, well-documented, and fit for regulated use.

Embed privacy, security, and compliance-by-design into data platforms and products, partnering with Healthcare Compliance, Legal, Privacy, Quality, and Security, and ensuring appropriate controls for sensitive data (e.g., PII and commercially sensitive data).

Ensure the data foundation meets the standards required for responsible, auditable AI, including data readiness, provenance, and observability that downstream AI and analytics depend on.

People Leadership & Cross-Functional Partnership

Build, lead, and develop a high-performing, multidisciplinary team of data engineers, data architects, data product managers, and analytics professionals through hiring, coaching, performance management, and talent development that drives retention and career growth.

Partner closely with the Commercial Data and AI leadership team, business teams, and technology partners to ensure platforms and data products accelerate the broader data, analytics, and AI road map.

Remove organizational barriers, simplify decision-making processes, and increase organizational velocity through modern data engineering practices and operating model; foster a Credo-based culture and elevate data fluency across the organization.

Manage strategic vendors and partners across a buy/borrow/build model, and stay current on emerging data technologies, patterns, and industry trends to inform strategy and investment.

Qualifications

Required

• •Experience implementing data platform engineering practices that improve developer productivity, automation, reuse, and delivery velocity.
• •Demonstrated success modernizing enterprise-scale platforms using DataOps, CI/CD, Infrastructure-as-Code, automated testing, data observability, and reliability engineering principles. - policy-as-code, DataGovOps, data contracts

Education: Bachelor’s degree required; advanced degree preferred in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

Experience: 10+ years of progressive experience delivering enterprise data platforms, data products, and analytics at scale, including translating business needs into trusted, reusable data assets with measurable business impact; life sciences/healthcare experience strongly preferred.

People leadership: 5+ years building and leading high-performing data and analytics teams, including hiring, coaching, performance management, and developing technical leaders, with experience managing significant operating investment and extended/vendor teams.

Data architecture & engineering: Deep expertise in modern data architecture and platforms (e.g., lakehouse, data warehouse, and streaming) and hands-on fluency with leading cloud and data technologies (e.g., AWS, Azure, GCP, Databricks, Snowflake) and modern da