Senior Director, Commercial Data Engineering, Platforms & Products
About The Position
Johnson & Johnson Innovative Medicine Technology is seeking a senior data leader to establish the technology vision for the commercial data ecosystem and drive modernization, engineering excellence, and architectural innovation across Innovative Medicine North America Commercial and the Global Commercial Strategy Organization (GCSO). The role sets and executes the strategy for data foundations spanning launch excellence, sales and marketing, medical affairs, market access, patient engagement, and commercial operations. It reports to the Vice President, Commercial Data and AI. The primary location is Titusville, New Jersey, with consideration for Raritan, New Jersey, and Horsham, Pennsylvania. The role may require up to 10% domestic and international travel. The Senior Director leads the architecture, engineering, governance, and productization of commercial data assets so they are discoverable, reliable, well-governed, and usable by analysts, data scientists, AI systems, and business users. The position provides the data foundation for the broader Commercial Data and AI portfolio, including generative and agentic AI. It builds and leads a multidisciplinary team of data platform engineers, data product managers, data architects, and analytics practitioners, and stewards significant annual investment across a buy/borrow/build model. The successful candidate combines technical expertise in modern data architecture with commercial pharmaceutical knowledge, product-oriented thinking, executive influence, servant leadership, and a focus on trusted, compliant delivery. The role influences enterprise technology strategy, accelerates data platform modernization, and helps shape the evolution of data and AI capabilities to deliver business impact.
Requirements
- Bachelor’s degree required in a relevant discipline; listed fields include Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- 10 or more years of progressive experience delivering enterprise data platforms, data products, and analytics at scale, translating business needs into trusted, reusable data assets with measurable business impact.
- 5 or more years building and leading data and analytics teams, including hiring, coaching, performance management, and development of technical leaders; experience managing significant operating investment and extended/vendor teams.
- 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.
- Deep expertise in modern data architecture and platforms, such as lakehouse, data warehouse, and streaming, and hands-on fluency with leading cloud and data technologies such as AWS, Azure, GCP, Databricks, and Snowflake, as well as modern data pipelines/ELT.
- Proven experience establishing a data-as-a-product operating model, including data product management, semantic layers, master data management, and self-service analytics, and delivering core analytics that drive decisions.
- Strong command of data governance, data quality, cataloging, lineage, and metadata management, with the ability to embed controls by design in a regulated environment.
- Working knowledge of data standards, privacy regulations, and governance expectations in regulated environments, and ability to partner effectively with Security, Privacy, Legal, and Compliance.
- Demonstrated ability to prioritize a portfolio, manage investment across the data product lifecycle, and drive adoption and value realization using clear OKRs/KPIs and stakeholder alignment.
- Exceptional written and verbal communication skills, including explaining complex technical concepts to diverse audiences and influencing from executive level to delivery teams.
- Experience with policy-as-code, DataGovOps, and data contracts.
Nice To Haves
- Advanced degree in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- Life sciences or healthcare experience.
- Commercial pharmaceutical domain expertise across sales and marketing, omnichannel/customer engagement, medical affairs, market access, patient services, or commercial operations, including commercially relevant sales, claims, patient, or third-party syndicated data.
- Experience enabling advanced analytics, machine learning, and generative or agentic AI through AI-ready data foundations, feature/semantic layers, and context layers.
- Familiarity with data mesh, domain-oriented ownership, DataOps, and product-led operating models for enterprise-scale data.
- Track record partnering with and managing external vendors and strategic technology partners, such as systems integrators, hyperscalers, and consulting firms, across a buy/borrow/build model.
- Recognized thought leadership in data platforms, data products, or analytics through internal or external speaking, publications, or advisory roles.
Responsibilities
- Set and execute the strategy, architecture, and multi-year roadmap for core commercial data platforms serving Commercial, Medical, and Patient organizations across IM NA Commercial and GCSO.
- Advance a scalable, cost-efficient, future-ready cloud data ecosystem, including lakehouse, streaming, and warehouse patterns and direction across ingestion, storage, transformation, and consumption.
- Mature semantic and AI-context layers, master data management, and reference data to support consistent, contextualized data for analytics, machine learning, and agentic AI.
- Improve platform reliability, performance, scalability, and total cost of ownership through sound engineering practices, automation, and DataOps.
- Scale a data-as-a-product operating model, delivering discoverable and reusable data products with clear ownership, service levels, documentation, and consumer-grade usability.
- Partner with business and analytics teams to turn priority business questions into data products and analytics assets, measuring adoption, reuse, and business outcomes.
- Enable self-service analytics and democratized access to trusted data while maintaining governance and control.
- Champion data governance, quality, lineage, cataloging, and metadata management to ensure data is trustworthy, documented, and suitable for regulated use.
- Embed privacy, security, and compliance-by-design in platforms and products, partnering with Healthcare Compliance, Legal, Privacy, Quality, and Security and applying appropriate controls to sensitive data.
- Ensure the data foundation supports responsible, auditable AI, including data readiness, provenance, and observability.
- Build, lead, and develop a multidisciplinary team through hiring, coaching, performance management, and talent development.
- Partner with Commercial Data and AI leadership, business teams, and technology partners to ensure platforms and products accelerate the broader data, analytics, and AI roadmap.
- Remove organizational barriers, simplify decisions, increase organizational velocity, foster a Credo-based culture, and elevate data fluency.
- Manage strategic vendors and partners across a buy/borrow/build model, and monitor emerging technologies, patterns, and industry trends to inform strategy and investment.
- Prioritize the data portfolio, manage investment across the data product lifecycle, and drive adoption and value realization through OKRs/KPIs and stakeholder alignment.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short- and long-term disability insurance
- Business accident insurance
- Group legal insurance
- Pension plan
- 401(k) savings plan
- Long-term incentive program
- Vacation: 120 hours per calendar year
- Sick time: 40 hours per calendar year; 56 hours per calendar year for Washington State employees
- 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 birth, adoption, or foster care placement
- Condolence leave: 30 days for an immediate family member and 5 days for an extended family member
- Caregiver leave: 10 days
- Volunteer leave: 4 days
- Military spouse time-off: 80 hours
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What This Job Offers
Job Type
Full-time
Career Level
Senior
