Data Standards Lead

Roche • South San Francisco, CA

1d

About The Position

At Roche, we are a global leader in healthcare, driven by a commitment to innovation and a shared purpose to improve lives. For over 125 years, we have pushed the boundaries of science to deliver better outcomes for patients worldwide. By combining excellence in pharmaceuticals and diagnostics, we strive to transform the future of medicine through data-driven insights and a culture that values integrity, courage, and passion. Joining Roche means becoming part of a community dedicated to making a lasting impact on society. The Opportunity Serve as a key subject matter expert for data standards applications, addressing complex data challenges within assigned PT domains. Collaborate with PT and IT stakeholders to document the data landscape and identify critical gaps where aligned data standards are required. Support the definition of standards for master, transactional, and analytical data to ensure alignment with Pharma value chain requirements. Partner with Data Stewards and System Owners to facilitate the implementation of standards, ensuring they are effectively applied at the system level. Provide technical guidance to Data Product teams on applying global standards to local, site-specific digital initiatives. Document data lineage and maintain robust catalogs in partnership with Regulatory functions to meet CMO and compliance requirements. Monitor adherence to standards and report on KPIs to visualize business impact and maintain the health of the organizational data ecosystem. Who We Are Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. The next step is yours. To apply today, click on the "Apply for this job" button.

Requirements

• You possess a Bachelor’s degree in Computer Science, Engineering, Information Management, or a related technical field.
• You bring 8 +years of professional experience in data standards, governance, or management, ideally within the pharmaceutical or healthcare industry.
• You are skilled at applying and maintaining data standards across complex systems, including master, transactional, and reference data.
• You demonstrate a deep understanding of Data Governance principles and how they translate into practical data management solutions.
• You are proficient in data analysis and interrogation tools, such as SQL, to identify data patterns and quality issues.
• You have experience working with Data Cataloging and Quality tools, and you are ideally familiar with Cloud Data environments like AWS or Snowflake.
• You are an effective communicator who can translate technical standards into clear, actionable guidance for business stakeholders.

Responsibilities

• Serve as a key subject matter expert for data standards applications, addressing complex data challenges within assigned PT domains.
• Collaborate with PT and IT stakeholders to document the data landscape and identify critical gaps where aligned data standards are required.
• Support the definition of standards for master, transactional, and analytical data to ensure alignment with Pharma value chain requirements.
• Partner with Data Stewards and System Owners to facilitate the implementation of standards, ensuring they are effectively applied at the system level.
• Provide technical guidance to Data Product teams on applying global standards to local, site-specific digital initiatives.
• Document data lineage and maintain robust catalogs in partnership with Regulatory functions to meet CMO and compliance requirements.
• Monitor adherence to standards and report on KPIs to visualize business impact and maintain the health of the organizational data ecosystem.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees