Product Owner, Portfolio Data Product
Hyderabad, Inde Permanent Posté le Jul. 24, 2025 Expire le Aug. 01, 2025Position Title: Product Owner, Portfolio Data Product
About Portfolio Management in R&D context
In the context of research and development the portfolio is the referential for all the new compound and drug that enter is SANOFI portfolio refers to the methods and tests used to ensure that a pharmaceutical product meets the required quality standards before it is approved for market use.
About the Role:
We are looking for a Digital Product Owner to lead the development of innovative software products supporting portfolio management for research and development this includes technologies such as advanced machine learning operations (ML Ops) workflows, including generative AI if there are any use cases.
As the Product Owner, you will be responsible for collaborating with your peers and digital stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated agile team composed of data engineers and application engineers to deliver high-impact digital products that empower cutting-edge data consumers in research and development.
Key Responsibilities:
1. Product Ownership:
o Lead the development and evolution of digital of core data products that support research and development portfolio management
o Own the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams.
o Gather and prioritize requirements from portfolio stakeholders, technical and functional to define the “What” and “Why” of product development.
2. Collaboration & Stakeholder Management:
o Work closely with data consumers (Digital and business if any), data engineers, and platform engineers to ensure the product meets both functional and technical requirements.
o Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards.
3. Product Delivery:
o Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations.
o Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities.
o Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas.
4. Continuous Improvement:
o Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements.
o Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals.
5. Technical Leadership & Strategic Vision:
o Bring a deep research and development portfolio processes to align the product vision to real needs.
o Inspire and lead a team of engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions.
Key Requirements:
Experience:
o 5+ years in product management or at least in project management.
o Experience leading product(or service) development in pharmaceutical environments, particularly research, manaufacturing or development.
o Knowledge on data integration and computing
o Familiarity with cloud environments such as AWS.
o Strong understanding of artificial intelligence and machine learning).
Soft Skills:
o Strong drive and ability to articulate product vision and align teams around shared goals.
o Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders.
o Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment.
o Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery.
Technical Skills:
o Solid knowledge of Agile methodologies, including experience working in Scrum teams.
o Familiarity with Data base, data integration and data engineering.
o Strong understanding of UX/UI, application design, and data engineering principles.
o Experience with cloud platforms, AI platforms, and data pipelines is a plus.
Education:
o Master’s degree in computer science, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus.
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