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Head Data&Asset Management(m/w/x)
Leading data lifecycle strategy and MLOps industrialization for Agentic AI orchestration at a healthcare science organization. 10+ years leading data strategy and pharmaceutical data domain understanding essential. Global data acquisition and governance scope, large-scale organizational transformation.
Requirements
- Degree in Computer Science, Engineering, or related field
- 10+ years experience in data management roles
- 10+ years implementing Data strategy and solutions
- Understanding of pharmaceutical data domain and ecosystem
- Ability to manage full product lifecycle
- Experience with Data Fabric and Mesh architectures
- Leadership, team management, and communication skills
Tasks
- Lead the end-to-end data lifecycle strategy
- Build data products for next-generation analytics
- Industrialize MLOps to embed data-driven insights
- Transition the organization to Agentic AI orchestration
- Manage global data acquisition and governance
- Oversee global Master Data Management strategies
- Direct data architecture and FAIR principles
- Drive roadmaps based on Data Fabric principles
- Ensure compliance with GDPR and privacy policies
- Lead and develop high-performing global teams
- Collaborate with IT and legal partners
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Master Data Management
- Data Lake
- Redshift
- Snowflake
- Databrick
- MLOps
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Head Data&Asset Management(m/w/x)
Leading data lifecycle strategy and MLOps industrialization for Agentic AI orchestration at a healthcare science organization. 10+ years leading data strategy and pharmaceutical data domain understanding essential. Global data acquisition and governance scope, large-scale organizational transformation.
Requirements
- Degree in Computer Science, Engineering, or related field
- 10+ years experience in data management roles
- 10+ years implementing Data strategy and solutions
- Understanding of pharmaceutical data domain and ecosystem
- Ability to manage full product lifecycle
- Experience with Data Fabric and Mesh architectures
- Leadership, team management, and communication skills
Tasks
- Lead the end-to-end data lifecycle strategy
- Build data products for next-generation analytics
- Industrialize MLOps to embed data-driven insights
- Transition the organization to Agentic AI orchestration
- Manage global data acquisition and governance
- Oversee global Master Data Management strategies
- Direct data architecture and FAIR principles
- Drive roadmaps based on Data Fabric principles
- Ensure compliance with GDPR and privacy policies
- Lead and develop high-performing global teams
- Collaborate with IT and legal partners
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Master Data Management
- Data Lake
- Redshift
- Snowflake
- Databrick
- MLOps
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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