Lead the Data Connectivity Lead, driving the FAIR and compliant data strategy for Roche’s Research and Early Development. Oversee a team of data experts, collaborate with stakeholders, and shape the future of data accessibility. Ideal for experienced leaders in R&D data environments with strong expertise in data governance and AI-driven solutions.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.
Tasks
- Provide visionary leadership for Data Connectivity within the Data capability while serving as a key member of the Data capability Leadership Team.
- Develop and implement the data FAIRification and compliance strategy.
- Ensure adoption of data governance and policies.
- Guide a team of experienced experts to guarantee effective management of RED’s data assets.
- Make key decisions on talent, resourcing, strategic prioritization, technical roadmaps, business processes and solution development contributing to CS CoE overall success.
- Develop and execute a forward-looking strategy for leveraging AI, automation and advanced technologies to revolutionize data enrichment processes.
- Be responsible for hiring, developing, and retaining talent, fostering opportunities for team members to enhance their skills and impact.
- Define objectives, priorities, Objectives and Key Results (OKRs) for the team.
- Drive the modernization and harmonization of workflows and processes to guarantee the delivery of FAIR and Compliant by design AI-ready data assets.
- Oversee large-scale strategic initiatives and data insight development projects, facilitating effective data lifecycle management.
- Collaborate with the DDC Domains and capabilities leads as well as with other key stakeholders to align on strategic priorities and support Pharma’s ambition.
- Foster strong internal and external partnerships and build a culture of 'data as an asset' in Research and Development.
Requirements
- Master’s degree in a scientific or technical field.
- 8+ years of experience in Pharma, Diagnostics or a related R&D data environment, with strong understanding of R&D processes.
- Hands-on expertise in at least one core data domain, such as data stewardship, data standards, data architecture, FAIRification, data modeling, data quality, metadata or data management.
- Proven experience leading complex projects, initiatives or teams across multiple stakeholders, with the ability to influence without authority and deliver strong outcomes in a matrix environment.
- Experience as a group/team leader is a plus.
- Familiarity with regulatory requirements and industry standards related to data privacy, security, quality and compliance.
- Experience with semantic technologies, RDF vocabularies, biomedical ontologies, data standards and data modeling, JSON, SPARQL, federated search, relational databases, knowledge graph technologies, or AWS Neptune is a strong advantage.
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Das Team
The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE, the Data and Digital Catalyst organisation drives the modernisation of computational and data ecosystems and integration of digital technologies across Research and Early Development.