Sr Director, R&d Data Science
vor 2 Wochen
**Job Function**:
Data Analytics & Computational Sciences
**Job Sub Function**:
Data Science
**Job Category**:
People Leader
**All Job Posting Locations**:
Zug, Switzerland
Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a **Sr Director, R&D Data Science - Head of Data Strategy & Products - TA Focus**. This position has a primary location of Titusville, NJ but is also open to Spring House, PA; Cambridge, MA; San Francisco, CA or Zug, Switzerland. The position requires 25% travel.
**For US applicants, please use requisition**:R-035880**
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.
**Position Summary**:
The “Head of Data Strategy & Products - TA Focus” leads development of Data Strategy and the strategy, design, and delivery of user-centric, reusable data products that enable delivery of Data Science and AI solutions for TA Discovery and drug development.
This leader will be managing 3 specialized sub-teams: Data Strategy & Products for Oncology TA, Data Strategy & Products for Immunology TA, and Data Strategy & Products for Neuroscience TA. This leader will be implementing use cases to unify data across domains, scale semantic/knowledge and embedding services, and institutionalize data governance.
This role establishes the productization of high-value data assets across TAs focusing on internal and external data sources (e.g. performance data, competitor information etc.) and RWE. Head of Data Strategy & Products - TA Focus works in close collaboration with Data Science TA teams.
A core responsibility includes developing a TA Ontology as the semantic backbone of TA data, aligned with the broader strategy of integration of R&D data landscape. The ontology serves as a foundational layer for data product standardization, reuse, and interoperability. The Head of Data Strategy & Products - TA focuses on working in close collaboration with centralized Data Product Architecture & Governance, Knowledge Management functions. Seamless integration between data product structures and graph-based reasoning capabilities is jointly ensured.
Beyond the close collaboration with the Data Product Architecture & Governance, Knowledge Management, Master Data Management, the following liaisons are critical for the success to establish a Data Strategy & Products function for TAs:
- Collaborates with the broader Data Science and Digital Health team
- Ensures alignment with the master data management team on shared entities e.g., clinical trial sites, studies etc. and controlled vocabulary e.g., indications, therapeutic areas etc.
The Head of Data Strategy & Products - TAs plays a central role in driving awareness, engagement, and adoption of data products across TA Discovery, clinical development, operations, and adjacent functions.
By fostering a culture of **data literacy, trust, and self-service**, the Head of Data Strategy & Products - TA ensures that data assets are not only built but **embraced and sustained** as enterprise capabilities.
**Key Responsibilities**:
**Data Strategy**:
- Develop data strategy as an ongoing program of improvement, partnering with Data Science TA teams in aligning to business needs and priorities of TAs
**Data Product Strategy & Execution**
- Defines and maintains a roadmap for data products supporting TAs
- Embeds product thinking, agile delivery, and FAIR data principles across the product lifecycle.
**Ontology & Semantic Modeling**
- Leads the development and governance of a TA Ontology to enable semantic consistency across TA domains.
- Aligns the ontology with internal metadata standards and external frameworks
**Collaboration with Knowledge Management**
- Contributes to shared governance of vocabularies, taxonomies, and semantic layers that enable knowledge reasoning, search, and graph-based automation.
**Team & Operating Model Leadership**
- Builds and leads a cross-functional team.
- Establishes agile delivery processes, value tracking metrics, and product lifecycle governance.
**Value Realization & Communication**
- Defines and tracks KPIs.
- Communicates product vision, roadmaps, and value realization to stakeholders.
**Qualifications**:
- Education & Experience
- PhD or Masters degree in life sciences, informatics, natural sciences, data science, or related discipline.
- 10+ years in data platform/data engineering/governance leadership, with significant experience in pharma/biotech R&D or regulated domains.
- Strong business acumen in pharmaceutical and /or Data Science, drug discovery and data product development/data science solution space
- Track of records working with high throughput screening data, omics, chemical and biological data for building data science solutions at scale
- Prior leadership of multi-disciplinary teams an
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