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Roche is hiring a (Sr.) Data Expert

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Job Description

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. Join Roche, where every voice matters.

The Position

The (Sr.) Data Expert is responsible for advancing the ASPIRE/S4 master data framework while driving data quality, consistency, and security. This role will spearhead Commercial Master Data Governance, including defining governance rules for the Data Competence Center and the Tagging Ecosystem. Furthermore, the role leads the Master Data Governance Community. By translating business strategies into data rules, managing the tag lifecycle, and empowering Business Data Owners (BDOs) through community leadership, the expert will enable precise omnichannel engagement and data-driven decision-making. This position requires strong governance expertise, analytical skills, and cross-functional leadership.

Key Responsibilities

Master Data Governance Architecting

  • Fully implement ASPIRE/S4 Master Data governance in alignment with global standards to support decision-making within Roche's Digital Backbone.
  • Define and harmonize Commercial Data Governance rules with master data community to ensure architectural consistency with the Data Capability Center to achieve a Single Source of Truth.
  • Standardize end-to-end lifecycle management for master data to ensure cross-system consistency and regulatory compliance.
  • Conduct upstream and downstream lineage analysis for master data across systems, monitor data quality, and drive continuous improvement.

Mater Data Community Leadership and Organization

  • Lead and facilitate the Master Data Community to foster a cross-functional, data-driven culture.
  • Act as the core liaison across strategic, tactical, and operational layers to ensure the implementation of the Master Data Management Policy.
  • Continuously upskill BDOs through practical capability-building initiatives.

  • Project Management: Lead data governance/analytical governance and other relevant projects by applying professional methodologies (e.g., BPM, Lean, Six Sigma, or PMP).
  • Benchmarking: Serve as a liaison to the global master data team and benchmark pharmaceutical industry practices to support future corporate needs.
  • Stakeholder Influence: Influence stakeholders to adopt new approaches and data-centric mindsets.

Qualifications and Education Requirements

  • Bachelor’s degree above preferred
  • Pharma industry experience preferred
  • 3-5 years’ experience in data management, system development or relevant experience
  • 1-3 years’ experience in process, project management and digital transformation experience
  • Professions in Process management,Data Governance, Project management and lean methodologies
  • Strong data analysis and problem-solving skills.
  • Strong stakeholder management and ability to influence others and achieve results in complex environments.
  • Business acumen and solid business knowledge in pharma industry
  • DAMA, PMP and Six Sigma certificate will be a plus

 

 

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.

Roche is an Equal Opportunity Employer.

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Salary Information

Salary: $65000-110000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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