Dein persönlicher KI-Karriere-Agent
Product Lead Performance analytics and resource optimization(m/w/x)
Leading development of Customer 360 and Next Best Action engines for life sciences. Experience building AI/Agentic AI solutions at scale required. Personal expression encouraged, open dialogue.
Anforderungen
- Deep understanding of Medical/Commercial lifecycle in Life Sciences
- Experience building AI and Agentic AI solutions at scale
- Strong grasp of Cloud stacks, Data Engineering, API integrations, and MLOps
- Hands-on experience with CRM (Salesforce/Veeva), Marketing Automation (Adobe/SFMC), and modern Data Warehouses (Snowflake/Databricks)
- Ability to operate as a "mini-CEO" of product line
- Expert knowledge of data sets for Pharma use cases
- Mastery of data storytelling
Aufgaben
- Lead development of Customer 360 and Next Best Action engines
- Integrate disparate data sources into unified customer view
- Deploy algorithmic recommendations for optimal customer engagement
- Simplify complex data into actionable insights for field teams
- Build scalable, scientific analytics products for Medical and Commercial teams
- Lead unified squad of Business Product Leader, Digital Tech, and Business Activation
- Design and prioritize features for analytics products
- Develop business case, data strategy, and UI for analytics product
- Use Jira and Scrum methodologies to manage product backlog
- Prioritize product backlog based on business value, data readiness, and technical feasibility
- Embed analytics in existing workflows like Veeva/CRM and Marketing Automation
- Design intuitive interfaces for non-scientific end-users
- Drive adoption rate and measure ROI of analytics products
- Define and enforce validation criteria for product success
- Simplify AI concepts into strategic narratives for C-suite
- Ensure compliance with Pharma regulations through collaboration
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- Agentic AI
- Cloud stacks
- Data Engineering
- API integrations
- MLOps
- CRM
- Salesforce
- Veeva
- Marketing Automation
- Adobe
- SFMC
- Data Warehouses
- Snowflake
- Databricks
- IQVIA data
- Veeva data
- claims data
- digital engagement metrics
Benefits
Lockere Unternehmenskultur
- Personal expression encouraged
- Open dialogue encouraged
- Genuine connections encouraged
- Valued, accepted, and respected
- Foster creativity
Mentoring & Coaching
- Personal and professional thriving
Sinnstiftende Arbeit
- Advance science
- Empowerment to explore new possibilities
- Global impact
Gesundheits- & Fitnessangebote
- Access to healthcare
- Life-changing healthcare solutions
Sonstige Vorteile
- High ambitions
- Equal Opportunity Employer
Gefällt dir diese Stelle?
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Product Lead Performance analytics and resource optimization(m/w/x)
Leading development of Customer 360 and Next Best Action engines for life sciences. Experience building AI/Agentic AI solutions at scale required. Personal expression encouraged, open dialogue.
Anforderungen
- Deep understanding of Medical/Commercial lifecycle in Life Sciences
- Experience building AI and Agentic AI solutions at scale
- Strong grasp of Cloud stacks, Data Engineering, API integrations, and MLOps
- Hands-on experience with CRM (Salesforce/Veeva), Marketing Automation (Adobe/SFMC), and modern Data Warehouses (Snowflake/Databricks)
- Ability to operate as a "mini-CEO" of product line
- Expert knowledge of data sets for Pharma use cases
- Mastery of data storytelling
Aufgaben
- Lead development of Customer 360 and Next Best Action engines
- Integrate disparate data sources into unified customer view
- Deploy algorithmic recommendations for optimal customer engagement
- Simplify complex data into actionable insights for field teams
- Build scalable, scientific analytics products for Medical and Commercial teams
- Lead unified squad of Business Product Leader, Digital Tech, and Business Activation
- Design and prioritize features for analytics products
- Develop business case, data strategy, and UI for analytics product
- Use Jira and Scrum methodologies to manage product backlog
- Prioritize product backlog based on business value, data readiness, and technical feasibility
- Embed analytics in existing workflows like Veeva/CRM and Marketing Automation
- Design intuitive interfaces for non-scientific end-users
- Drive adoption rate and measure ROI of analytics products
- Define and enforce validation criteria for product success
- Simplify AI concepts into strategic narratives for C-suite
- Ensure compliance with Pharma regulations through collaboration
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- Agentic AI
- Cloud stacks
- Data Engineering
- API integrations
- MLOps
- CRM
- Salesforce
- Veeva
- Marketing Automation
- Adobe
- SFMC
- Data Warehouses
- Snowflake
- Databricks
- IQVIA data
- Veeva data
- claims data
- digital engagement metrics
Benefits
Lockere Unternehmenskultur
- Personal expression encouraged
- Open dialogue encouraged
- Genuine connections encouraged
- Valued, accepted, and respected
- Foster creativity
Mentoring & Coaching
- Personal and professional thriving
Sinnstiftende Arbeit
- Advance science
- Empowerment to explore new possibilities
- Global impact
Gesundheits- & Fitnessangebote
- Access to healthcare
- Life-changing healthcare solutions
Sonstige Vorteile
- High ambitions
- Equal Opportunity Employer
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Roche
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Noch nicht perfekt?
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