Product Owner – AI & Digital Innovation (Quality Control)
Roche is hiring a Product Owner – AI & Digital Innovation (Quality Control). Level rates it ; you can apply on Roche.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI agents, product management and AI solutions.
- Level classifies it as a senior role.
- Level lists 1,200+ other open roles at Roche.
- The role was posted within the past two weeks.
AI in this role
Lead the development of applied and agentic AI processes and predictive analytics for global quality control networks.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
At Roche, we are passionate about transforming healthcare and changing patients' lives for the better. As a global leader in pharmaceuticals and diagnostics, we commit ourselves to scientific excellence, cutting-edge innovation and sustainable growth. We believe that good business means a better world, and we achieve this by fostering an inclusive, collaborative environment where our people are empowered to push the boundaries of medical science and technology. Joining Roche means bringing your purpose to a team that values integrity, courage, and passion, ensuring that the right treatment reaches the right patient at the right time.
An integral part of achieving this vision is delivering innovative data solutions to the Pharma Technical Operations Quality and Compliance (PTQ) organization. Working at the direct intersection of Quality Control (QC) and Artificial Intelligence (AI), you will champion initiatives that enable our global network to leverage both real-time and predictive data analytics using advanced digital and AI-enabled ecosystems.
Specifically, this role offers a unique opportunity to identify strategic use cases and pioneer Applied and Agentic AI processes across Roche’s global Quality Control Network. Your work will empower teams not only to detect current defects, but to forecast future issues—driving faster, better-informed decisions and elevating commercial excellence.
The Oppurtunity:
As a Product Owner – AI & Digital Innovation (Quality Control) in PTQ Network Quality Control, you will play a critical role in managing AI solutions and agentic workflows across commercial QC to unlock deeper insights, streamline operations, and boost laboratory productivity:
- Identify High-Impact QC AI Use Cases: Partner closely with business stakeholders and prioritize high-value opportunities for AI and digital tools. Translate complex laboratory challenges into structured, scalable data products that address critical business needs.
- Architect Predictive & Agentic Workflows: Translate identified use cases into functional, compliant data products. Help design and deploy agentic workflows that analyze complex datasets, detect subtle trends, forecast potential deviations and highlight critical anomalies for scientific investigation.
- Accelerate Quality Mindset Shift from Reactive to Proactive: Drive the implementation of AI solutions that transition QC from reactive quality analysis to proactive quality intelligence, accelerating time-to-resolution and improving QC efficiency.
- Champion an AI-Enabled Quality Culture: Act as a change agent at the intersection of AI and Quality Control. Promote the adoption of digital tools to foster continuous improvement, increase scientific agility and accelerate agile decision-making across global sites.
- Lead Cross-Functional Alignment: Build and maintain collaborative partnerships across multidisciplinary teams—including lab scientists, data engineers, software architects and Quality experts—to ensure AI solutions align with business objectives and measurably improve Quality metrics.
- Deliver Network QC Business: Fulfill roles and responsibilities according to department needs.
Who you are:
- Education: Bachelor’s degree or higher in Bioinformatics, Biochemistry, Chemistry, Pharmaceutical Sciences or a related scientific/technical discipline.
- Industry Experience: 3-5 years of professional experience in a pharmaceutical, biotechnology or highly regulated environment. Direct, hands-on experience in QC laboratory operations is necessary.
- AI & Agentic Concepts: Strong foundational understanding of Applied and Agentic AI (e.g., autonomous workflows), including the application of digital tools for data analysis, troubleshooting and issue remediation.
- Use Case Discovery & Strategy: Proven ability to analyze complex QC problems, engage stakeholders, map scientific workflows and articulate business cases for digital/AI solutions.
- Project & Product Management: Self-directed capacity to manage multiple initiatives simultaneously, prioritizing deliverables based on business impact and strategic alignment.
- Compliance Knowledge: Strong familiarity with regulatory expectations, cGMP requirements, and ICH guidelines, including evolving global guidance regarding computerized system validation (CSV), data integrity (ALCOA+), and AI/ML applications.
- Cross-Functional Communication: Exceptional communication skills with a demonstrated ability to translate complex AI and technical concepts for non-technical stakeholders, bridging the gap between data scientists and QC operators.
**Relocaiton benefits not available for this position**
The expected salary range for this position based on the primary location of Mississauga is 115,328.00 and 151,368.00 of hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company.
We use artificial intelligence to screen, assess or select applicants for this role.
This posting is for an existing vacancy at Hoffmann-La Roche Ltd.
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
How we rate this
Product Owner – AI & Digital Innovation (Quality Control) at Roche rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where ai solutions was part of your work. What did you do?
- Tell me about a project where predictive analytics was part of your work. What did you do?
- Tell me about a project where quality control was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, AI Solutions, Predictive Analytics, and Quality Control. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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