Data Engineer

The Site Data Operations Lead is a critical role within Roche’s Digital & Operational Excellence (PTE) organization, serving as the single point of contact (SPoC) for site-level engagement with data product teams. Based at the site and reporting to the One PT Data Office, this role is central to PTE’s broader digital and operational strategy.

The Site Data Operations Lead ensures that data requirements for different data products and use cases are met by maintaining data readiness at the source systems in alignment with global schemas. Your role involves aligning, planning, and coordinating data product requirements, promptly addressing data quality issues, and facilitating communication and collaboration between the site, Data Product Owners, and other stakeholders to ensure smooth data flow and consistency.

The Opportunity

• Single Point of Contact (SPoC): Serve as the dedicated site-level SPoC for engaging with data product teams, facilitating communication and collaboration between the site and PTE’s data initiatives.
• Data Requirements Management: Ensure that the data requirements of various data products and use cases are satisfied by the data sources, collaborating with site teams to understand, capture, and document data needs accurately.
• Data Readiness: Ensure the preparedness of data at the source, guaranteeing data accuracy, completeness, and availability for data products, and addressing data quality issues promptly.
• Cross-Team Collaboration: Work alongside data product teams, Data Domain Leads, and other stakeholders to ensure smooth data flow and align site-level data initiatives with PTE’s broader strategy.
• Holistic Data View: Maintain an overarching perspective on the site’s data landscape; create transparency of site constraints to global PTE data product owners and domain leads; and plan and support in prioritization of work packages.
• Advocacy and Compliance: Advocate for best practices in data management and quality within the site, ensuring global standards and the data product framework are implemented and addressing issues and risks early.

• Education: A Bachelor’s degree in Informatics, Engineering, or a related field. A Master’s degree or equivalent experience would be preferred.
• Experience: 7+ years of industry experience in a data-centric role, demonstrating proficiency in designing and delivering complex, high-quality data and analytics solutions in an agile and scalable model.
• Technical Skills: Proven knowledge of standard concepts and experience in data mesh, data warehousing, and procedures related to delivery of data; familiarity with data governance principles and data integration technologies.
• Domain Expertise: Strong knowledge of data management practices, especially within the context of Pharma Tech Ops or similar industries, with domain-based expertise in areas like Manufacturing, Regulatory, Supply Chain, and Quality.
• General Skills: Excellent communication and interpersonal skills, capable of engaging stakeholders at all levels, and proven ability to identify and resolve data-related issues effectively.

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.