Product Owner - Predictive Maintenance and Asset Optimization

About Growing with us

Sanofi is hiring key contributors to onboard Sanofi Digital transformation journey and to embrace the Digital capabilities. Global Engineering, including Predictive Maintenance and Asset Management systems are a key component of this digital transformation. As part of Sanofi's digital transformation journey and our embrace of utilizing AI at scale, we focus on the implementation of predictive maintenance and other valuable asset management solutions to optimize pharmaceutical manufacturing, enhance operational excellence, and maintain our position as an industry leader.

As part of the global Digital Manufacturing MSAT & Engineering team, reporting to the Digital Global Engineering Product Line Owner, the Product Owner for Predictive Maintenance & Asset Management is responsible for delivering digital solutions that optimize equipment performance, reduce unplanned downtime, and maximize asset value throughout their lifecycle. This role focuses on developing and enhancing products that help determine the condition of in-service equipment to optimize maintenance activities, leading to cost savings over routine or time-based preventive maintenance. Asset Management leads to enhances efficiency, safety, and quality in production processes while ensuring compliance with GxP regulations and Sanofi's quality standards. This role will directly contribute to Sanofi's operational excellence by reducing manufacturing downtime, enhancing worker safety, and accelerating time-to-market through innovative solutions.

Main Responsibilities

• Asset Lifecycle Management

• In partnership with Global Engineering and other stakeholders, define the asset management strategy from acquisition through decommissioning
• Predictive Analytics & Maintenance Strategy
• Define user stories and requirements for predictive maintenance algorithms and models
• Work with data scientists, engineers, and external vendors to implement condition-based monitoring solutions to address specific needs of the business
• Prioritize features that enable early detection of equipment failures and performance degradation
• Develop KPIs and metrics to measure maintenance effectiveness and cost savings
• Manufacturing & Operations Integration
• Collaborate closely with Global Engineering, manufacturing sites, maintenance teams, and operations personnel
• Understand equipment criticality and maintenance requirements across different asset types
• Ensure solutions comply with GxP, regulatory, and quality requirements specific to pharmaceutical manufacturing
• Define requirements for integration with existing maintenance management systems (CMMS/EAM)
• Data Management & Analytics
• Define requirements for IoT sensor data collection, storage, and processing
• Work with data teams to ensure data quality and availability for predictive models
• Prioritize features for real-time monitoring dashboards and alerting systems
• Ensure data governance and compliance with data privacy regulations
• Business Value & Cost Optimization
• Define and track KPIs related to:
• Reduction in unplanned downtime
• Mean Time Between Failures (MTBF) improvements

• Maintenance Cost Optimization

• Asset Utilization Improvements

• Develop business cases for predictive maintenance initiatives
• Measure and report on ROI of predictive maintenance investments
• Facilitate workshops to understand maintenance pain points and requirements
• Digital (IT) infrastructure and OT (Operational Technology) teams
• Plant maintenance managers and technicians
• Finance teams for budget and cost tracking
• Minimum Experience & Knowledge Required

• Stakeholder Management

• Work Closely With:

• Manufacturing Operations Teams

• Reliability Engineers

• In partnership with Global Engineering and other stakeholders, define the asset management strategy from acquisition through decommissioning
• Define user stories and requirements for predictive maintenance algorithms and models
• Work with data scientists, engineers, and external vendors to implement condition-based monitoring solutions to address specific needs of the business
• Prioritize features that enable early detection of equipment failures and performance degradation
• Develop KPIs and metrics to measure maintenance effectiveness and cost savings
• Manufacturing & Operations Integration
• Collaborate closely with Global Engineering, manufacturing sites, maintenance teams, and operations personnel
• Understand equipment criticality and maintenance requirements across different asset types
• Ensure solutions comply with GxP, regulatory, and quality requirements specific to pharmaceutical manufacturing
• Define requirements for integration with existing maintenance management systems (CMMS/EAM)
• Data Management & Analytics
• Prioritize features that enable early detection of equipment failures and performance degradation
• Develop KPIs and metrics to measure maintenance effectiveness and cost savings
• Manufacturing & Operations Integration
• Collaborate closely with Global Engineering, manufacturing sites, maintenance teams, and operations personnel
• Understand equipment criticality and maintenance requirements across different asset types
• Ensure solutions comply with GxP, regulatory, and quality requirements specific to pharmaceutical manufacturing
• Define requirements for integration with existing maintenance management systems (CMMS/EAM)
• Data Management & Analytics
• Define requirements for IoT sensor data collection, storage, and processing
• Work with data teams to ensure data quality and availability for predictive models
• Prioritize features for real-time monitoring dashboards and alerting systems
• Ensure data governance and compliance with data privacy regulations
• Business Value & Cost Optimization
• Define and track KPIs related to:
• Reduction in unplanned downtime
• Mean Time Between Failures (MTBF) improvements
• Define requirements for IoT sensor data collection, storage, and processing
• Work with data teams to ensure data quality and availability for predictive models
• Prioritize features for real-time monitoring dashboards and alerting systems
• Ensure data governance and compliance with data privacy regulations
• Business Value & Cost Optimization
• Define and track KPIs related to:
• Reduction in unplanned downtime
• Mean Time Between Failures (MTBF) improvements

• Maintenance Cost Optimization

• Asset Utilization Improvements

• Develop business cases for predictive maintenance initiatives
• Measure and report on ROI of predictive maintenance investments
• Facilitate workshops to understand maintenance pain points and requirements
• Digital (IT) infrastructure and OT (Operational Technology) teams
• Plant maintenance managers and technicians
• Finance teams for budget and cost tracking
• Minimum Experience & Knowledge Required
• Develop business cases for predictive maintenance initiatives
• Measure and report on ROI of predictive maintenance investments
• Facilitate workshops to understand maintenance pain points and requirements
• Digital (IT) infrastructure and OT (Operational Technology) teams
• Plant maintenance managers and technicians
• Finance teams for budget and cost tracking
• Minimum Experience & Knowledge Required

• Work Closely With:

• Manufacturing Operations Teams

About You

This specialized Product Owner role requires a unique blend of digital product management skills with deep understanding of industrial operations, maintenance practices, and the pharmaceutical manufacturing environment. The focus should be on delivering tangible business value through improved asset performance and optimized maintenance strategies.

1.     Technical Understanding

• Understanding of maintenance strategies (reactive, preventive, predictive, prescriptive)
• Familiarity with IoT sensors, SCADA systems, and industrial data protocols
• Knowledge of industrial equipment and manufacturing processes
• Basic understanding of machine learning and predictive analytics concepts
• Familiarity with reliability engineering concepts (Ex. RCM, FMEA)
• Knowledge of maintenance best practices and industry standards
• Understanding of pharmaceutical manufacturing requirements and GxP compliance
• Understanding of Total Cost of Ownership (TCO) for industrial assets
• 3.    Regulatory & Compliance
• Familiarity with IoT sensors, SCADA systems, and industrial data protocols
• Knowledge of industrial equipment and manufacturing processes
• Basic understanding of machine learning and predictive analytics concepts
• Familiarity with reliability engineering concepts (Ex. RCM, FMEA)
• Knowledge of maintenance best practices and industry standards
• Understanding of pharmaceutical manufacturing requirements and GxP compliance
• Understanding of Total Cost of Ownership (TCO) for industrial assets
• 3.    Regulatory & Compliance

2.    Industry Knowledge

• Ensure solutions meet pharmaceutical regulatory requirements
• Understanding of data integrity requirements for manufacturing data
• Knowledge of cybersecurity requirements for OT/IT convergence
• Compliance with environmental, health, and safety standards

Soft Skills

• Digital strategy & governance (Advanced)

• Consumer Experience (Advanced)

• Digital Project Management (Advanced)
• Agile mindset and practices (Intermediate)
• Application Design & Integration (Intermediate)
• Compliance of Computerized systems (Intermediate)

Success Metrics

• Reduction in unplanned equipment downtime by 20%
• Decrease in maintenance costs while maintaining equipment reliability
• Improvement in Overall Equipment Effectiveness (OEE)
• Increase in predictive maintenance adoption across manufacturing sites
• User satisfaction scores from maintenance teams and operators
• Time-to-market for new predictive maintenance capabilities
• Bachelor’s Degree or equivalent in Information Technology or Engineering
• Fluent spoken and written English
• When joining our team, you will experience:
• Decrease in maintenance costs while maintaining equipment reliability
• Improvement in Overall Equipment Effectiveness (OEE)
• Increase in predictive maintenance adoption across manufacturing sites
• User satisfaction scores from maintenance teams and operators
• Time-to-market for new predictive maintenance capabilities
• Bachelor’s Degree or equivalent in Information Technology or Engineering
• Fluent spoken and written English
• When joining our team, you will experience:

Education

Languages

• If you have a passion for Engineering, Digital, and Robotics, and are looking for a challenging role where you can make a significant impact, we would love to hear from you.
• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent global team.
• Your own career path within Sanofi. Your professional and personal development will be supported purposefully.

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. 
 
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity 
 
At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients, and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

Pursue Progress, Discover Extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!