
Product Owner - Predictive Maintenance and Asset Optimization
Hyderabad, Indien Regular Gepostet am Oct. 17, 2025 Endet am Oct. 21, 2025About 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
Maintenance cost optimization
Asset utilization improvements
Mean Time Between Failures (MTBF) improvements
Develop business cases for predictive maintenance initiatives
Measure and report on ROI of predictive maintenance investments
Stakeholder Management
Facilitate workshops to understand maintenance pain points and requirements
Work closely with:
Digital (IT) infrastructure and OT (Operational Technology) teams
Manufacturing operations teams
Reliability engineers
Plant maintenance managers and technicians
Finance teams for budget and cost tracking
About you
Minimum Experience & Knowledge Required
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
2.Industry Knowledge
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
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
Education
Bachelor’s Degree or equivalent in Information Technology or Engineering
Languages
Fluent spoken and written English
When joining our team, you will experience:
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. Discovery Extraordinary.
Werde Teil von Sanofi und starte mit uns in eine neue Ära der Wissenschaft – wo dein persönliches Wachstum genauso wegweisend ist wie unsere Arbeit. Wir investieren in dich, damit du weiterkommst, schneller denkst und Dinge möglich machst, die vorher undenkbar waren. Du wirst Grenzen verschieben, Gewohntes hinterfragen und smarte Lösungen entwickeln, die direkt bei den Menschen ankommen, für die wir da sind. Bereit, die Wunder der Wissenschaft zu jagen und Leben zu verbessern? Dann lass uns gemeinsam Großes bewegen – und das Außergewöhnliche entdecken.
Bei Sanofi stehen allen die gleichen Chancen offen – unabhängig von Herkunft, Hautfarbe, Religion, Geschlecht, Nationalität, sexueller Orientierung, Alter, Staatsangehörigkeit, Familienstand, Behinderung, Geschlechtsidentität, Veteranenstatus oder anderen gesetzlich geschützten Merkmalen.
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