Digital Product Owner – Chemistry, Manufacturing and Controls (CMC)

Position Title: Digital Product Owner – Chemistry, Manufacturing and Controls (CMC)

About Chemistry, Manufacturing and Controls

CMC 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. It encompasses various aspects of drug development, including formulation, manufacturing processes, and quality control.

About the Job

We are looking for a Digital Product Owner to lead the development of innovative data products supporting Chemical, Manufacturing and Control operations. This role will work closely with the Product Owner CMC, focusing on enabling data-driven decision-making in CMC operations using the Data Mesh approach. The role requires close collaboration with other data teams, particularly in Manufacturing & Supply (M&S) and mRNA areas, to ensure alignment and synergy across data products.

As the Product Owner, you will be responsible for collaborating with 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 to deliver high-impact digital products that empower cutting-edge data consumers in research and manufacturing.

What you will be doing:

1. Product Ownership:

o Under the supervision of the Senior PO, collaborate to the development and evolution of the CMC Data Product, ensuring it meets scientific, research, and business objectives.

o Collaborate to 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 scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development.

2. Collaboration & Stakeholder Management:

o Work closely with scientists, data engineers, and platform engineers to ensure the product meets both scientific 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 Develop a strong understanding of CMC workflows and data integration needs, particularly in areas related to drug substance and drug product development, manufacturing, and quality control.

o Support the vision for innovative solutions in CMC data management and analysis within the Data Mesh architecture.

o Stay current with developments in data platform technologies, particularly Snowflake, and their applications in the pharmaceutical industry.

Key Requirements:

·Experience:

o 5+ years in product management, preferably with experience in life sciences, pharmaceutical development, or data platforms.

o Experience working with scientific or technical products in regulated environments.

o Familiarity with cloud environments and data platform technologies, particularly Snowflake.

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 bioinformatics tools and ELN (Electronic Laboratory Notebook) systems

o Strong understanding of Data Modelling, data integration concepts, and data engineering principles.

o Experience with cloud platforms, AI platforms, and data pipelines is a plus.

o Knowledge of GxP principles and their application in pharmaceutical data management is a plus.

Education:

o master’s degree in computer science, bioinformatics, data science,or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains will take into consideration