Data Connectivity 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 Connectivity 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 modelers, architects and governance experts focusing on accelerating the use and access to FAIR and compliant data..

This role involves team management, and close collaboration within the Data & Digital Catalyst department as well as with stakeholders across pRED and gRED to accelerate delivery of seamless access to FAIR and trustworthy data pan-RED.

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 Connectivity Lead , you will develop and implement the data FAIRification and compliance strategy, ensure adoption of data governance and policies 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 Connectivity 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, 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.

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

• Hands on experience in at least one of the following domains: data stewardship, data standards, data architecture, Data FAIRification, Data modeling, data quality management, 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 industry standards related to data privacy and security and quality

• Proven ability to lead large, complex projects and teams, involving multiple stakeholders delivering excellent results

• Excellent partnering, communication skills and ability to foster trustful relationships and a growth-focused, agile environment.

Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let's build a healthier future, together.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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