Data Delivery Lead

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. 

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
 

The Opportunity

The Data Delivery and New Technologies Lead is a visionary leader who provides strategic leadership to the Data Capability, has outstanding collaboration capabilities, and can influence without authority. You will be  part of the Data Capability leadership team and lead a world-class team of data modalities experts focusing on accelerating data delivery to our scientists while pioneering new Data technologies to optimize E2E data flows  and enable automation. 

This role involves team management, and close collaboration within the Data & Digital Catalyst department as well as with stakeholders across pRED and gRED to ensure high quality data product delivery and enhance data sharing and data reuse. 

This role offers a unique opportunity to shape the RED’s data landscape, leverage data as a strategic asset and accelerate drug portfolio decision making. 

As Data Delivery and New Technologies Lead , you will develop and implement the data delivery strategy  and guide a team of experienced experts to guarantee effective management of RED’s data assets. You will make key decisions on talent, resourcing,strategic prioritization, technical roadmaps, business processes and solution development contributing to CS CoE overall success.

In this role you will: 

• Provide visionary leadership for Data Delivery and New data technologies  within the Data capability while serving as a key member of the Data capability Leadership Team.

• 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 and Objectives and Key Results (OKRs) for the team

• Drive the evaluation and implementation of new data technologies to support complex and emerging data modalities, ensuring timely delivery of 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.

Who you are

• Master's degree in a scientific or technical field and 8+ years of professional experience in the Pharma or Diagnostics sector, with deep R&D process understanding

• Ability to lead, handle ambiguity, and achieve timely and efficient results.

•  Proven track record leading major projects; Team leadership experience preferred

• Experience in at least one of the following domains: data curation,  data stewardship, data standards, data quality management, masterdata, metadata and data management.

• Hands-on experience with languages ( Python, R, Rshiny, Perl, Java, etc) or visualization interfaces (Spotfire, Tableau, etc)

• Familiarity with regulatory requirements and