Data Owner - Manager, Clinical Supply Chain Data

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 https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Clinical Data Management

Job Category:

Professional

All Job Posting Locations:

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

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine R&D is recruiting for a Data Owner - Manager, Clinical Supply Chain Data.  This position is a hybrid role and can be located in Titusville, NJ or Horsham, PA. 

Our Digital Solutions team has responsibility for the digital transformation of Clinical Supply Chain, in support of planning, manufacturing, purchasing and delivering clinical supplies to thousands of clinics worldwide, in close collaboration with clinical supply functions, our commercial supply chain and Information Technology partners.

As a key member of Digital Solutions, The Data Owner - Manager will drive the strategy and implementation of a robust Data infrastructure for digital clinical supply chain, partnering with Johnson & Johnson Technology (JJT) and Data Science teams.  Focusing on data integration, engineering, and governance, this individual will play a pivotal role in ensuring that our data ecosystem is scalable, secure and promoting efficient data usage across the organization.  A critical requirement of this role is the right mix of technical expertise and business acumen, and a passion for leveraging data for solving business challenges.

The Data Owner - Manager will be a proactive and effective problem solver who is intellectually curious and has a proven track record of adopting best practices when dealing with data in the life sciences industry.

Principal Responsibilities:

Being a Product Owner for the following capabilities:

• Data Integration:

  • Integration between various technology platforms used in clinical supply chain, e.g., forecasting (4C), Randomization and Trial Supply Management systems (multiple RTSM vendors), SAP, E2E planning (OMP).

  • Data ingestion from various sources into our Data Lake.

  • Data exchange with external partners (i.e., Third-Party Logistics (3PLs), Contract Research Organizations (CROs)/Contract Manufacturing Organizatons (CMOs)).

• Data Engineering:

  • Design of the data model, working with a data architect and functional stakeholders (e.g., Planning, Logistics).

  • Collaborate with the JJT and Data Science teams on proper data engineering processes to populate the data model.

• Data Governance:

  • Protect sensitive data in compliance with regulations.

  • Ensure appropriate documentation of data and data lineage.

  • Partner with business data owners in adequate data access management.

  • Partner with business data owners to establish data standards and data quality monitoring.

• Data-driven decision making:

  • Utilize business acumen to understand organizational needs and use of data to address business problems.

  • Communicate technical data concepts in a clear and actionable manner to foster a data-driven culture.

• Define multi-year capability, technology, and investment roadmaps for enhancing data maturity in Clinical Supply Chain.

• Drive adoption and business value realization of investments in data.

• Take a leadership role to successfully oversee external partners and deliver projects through full data management process lifecycle.

• Actively network within the industry and