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Product Owner Scientific Data Analytics(m/w/x)
Leading digital delivery of scientific data analytics platforms for R&D. Advanced degree in a scientific field or equivalent experience required. 14-week paid family leave, childcare benefits.
Requirements
- 5+ years product/project management in technical field, R&D data management, or related
- Advanced degree (PhD, MS) in scientific field or equivalent industry experience
- Proven digital product management experience in pharma R&D/life sciences
- Strong understanding of lab workflows, drug discovery/development
- Track record delivering high-impact products in pharma research/life sciences
- Experience developing products with Agile methodologies
- Experience leading cross-functional teams and managing complex projects
- Excellent communication and collaboration skills
- Strong facilitation skills in design-thinking workshops and ideation sessions
- Strong problem-solving skills, derive value from data pipelines/workflows
- Experience building/maintaining stakeholder relationships, translating needs to data products
- Fluent English (spoken and written)
Tasks
- Lead digital delivery of scientific data analytics platforms
- Collaborate with R&D stakeholders on product vision
- Ensure products align with R&D business needs
- Lead strategic demand ideation for digital products
- Source external innovation
- Coordinate with R&D business and stakeholders
- Drive ideation working sessions
- Prioritize products effectively
- Develop long-term strategy and roadmap with team leadership
- Provide input for product improvements based on feedback
- Support triaging of operational demand
- Lead product development from ideation to launch
- Ensure timely and high-quality product delivery
- Develop executable product delivery plan and timeline
- Lead product through governance requirements
- Gather R&D business requirements
- Establish user stories
- Define product features
- Refine backlog
- Prioritize features
- Drive selection of development tools
- Communicate with non-technical stakeholders
- Communicate with technical stakeholders
- Communicate with engineering teams
- Ensure outcomes align with R&D business needs
- Support digital product go/no-go recommendations
- Define product-level KPIs
- Monitor product-level KPIs
- Analyze product-level KPIs
- Report outcomes to team leadership
- Report outcomes to key collaborators
- Prepare reports for senior management
- Present product performance reports
- Present product progress reports
- Present areas for improvement reports
- Participate in product demos
- Participate in product retrospectives
- Stay current on industry trends
- Stay current on emerging technologies
- Stay current on product management best practices
- Stay current on data analytics best practices
- Foster innovation within the product team
- Foster collaboration within the product team
- Foster continuous learning within the product team
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Fluent
Benefits
Healthcare & Fitness
- High-quality healthcare
Other Benefits
- Numerous prevention programs
Job Security
- Long-term illness coverage
Generous Parental Leave
- 14-week paid family leave
Childcare
- Childcare benefits
Modern Office
- Modern working environment
Flexible Working
- Hybrid working models
- Flexible working time models
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Product Owner Scientific Data Analytics(m/w/x)
Leading digital delivery of scientific data analytics platforms for R&D. Advanced degree in a scientific field or equivalent experience required. 14-week paid family leave, childcare benefits.
Requirements
- 5+ years product/project management in technical field, R&D data management, or related
- Advanced degree (PhD, MS) in scientific field or equivalent industry experience
- Proven digital product management experience in pharma R&D/life sciences
- Strong understanding of lab workflows, drug discovery/development
- Track record delivering high-impact products in pharma research/life sciences
- Experience developing products with Agile methodologies
- Experience leading cross-functional teams and managing complex projects
- Excellent communication and collaboration skills
- Strong facilitation skills in design-thinking workshops and ideation sessions
- Strong problem-solving skills, derive value from data pipelines/workflows
- Experience building/maintaining stakeholder relationships, translating needs to data products
- Fluent English (spoken and written)
Tasks
- Lead digital delivery of scientific data analytics platforms
- Collaborate with R&D stakeholders on product vision
- Ensure products align with R&D business needs
- Lead strategic demand ideation for digital products
- Source external innovation
- Coordinate with R&D business and stakeholders
- Drive ideation working sessions
- Prioritize products effectively
- Develop long-term strategy and roadmap with team leadership
- Provide input for product improvements based on feedback
- Support triaging of operational demand
- Lead product development from ideation to launch
- Ensure timely and high-quality product delivery
- Develop executable product delivery plan and timeline
- Lead product through governance requirements
- Gather R&D business requirements
- Establish user stories
- Define product features
- Refine backlog
- Prioritize features
- Drive selection of development tools
- Communicate with non-technical stakeholders
- Communicate with technical stakeholders
- Communicate with engineering teams
- Ensure outcomes align with R&D business needs
- Support digital product go/no-go recommendations
- Define product-level KPIs
- Monitor product-level KPIs
- Analyze product-level KPIs
- Report outcomes to team leadership
- Report outcomes to key collaborators
- Prepare reports for senior management
- Present product performance reports
- Present product progress reports
- Present areas for improvement reports
- Participate in product demos
- Participate in product retrospectives
- Stay current on industry trends
- Stay current on emerging technologies
- Stay current on product management best practices
- Stay current on data analytics best practices
- Foster innovation within the product team
- Foster collaboration within the product team
- Foster continuous learning within the product team
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Fluent
Benefits
Healthcare & Fitness
- High-quality healthcare
Other Benefits
- Numerous prevention programs
Job Security
- Long-term illness coverage
Generous Parental Leave
- 14-week paid family leave
Childcare
- Childcare benefits
Modern Office
- Modern working environment
Flexible Working
- Hybrid working models
- Flexible working time models
About the Company
Sanofi
Industry
Pharmaceuticals
Description
Das Unternehmen ist ein forschendes Biopharma-Unternehmen, das KI anwendet und sich dafür einsetzt, das Leben der Menschen zu verbessern.
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