AI Technical Product Owner – Digital Workplace

Roche is hiring an AI Technical Product Owner – Digital Workplace in Madrid, Spain. Level rates it ; you can apply on Level.

AI in this role

ragai-agentsai-safety

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

The AI Technical Product Owner will play a key role in shaping and driving the AI direction across Digital Workplace, identifying how emerging AI capabilities can unlock new levels of employee productivity, innovation and digital experience.

Combining deep AI technical expertise, strategic thinking, strong Product Ownership and Agile execution, the role will connect the evolution of AI technology with employee and business needs, identify opportunities with value across Digital Workplace, and turn them into clear product priorities and scalable solutions.

Operating across products, teams and functional areas, the role will bring a holistic and forward-looking perspective to AI, connecting needs and opportunities, identifying common and reusable capabilities, and helping define how AI should evolve across Digital Workplace. Working closely with AI experts, architects, engineers, Product Owners and key enterprise stakeholders, the AI Technical Product Owner will turn strategic direction into execution while actively influencing that direction through strong technical expertise, product judgment and customer insight.

Key Responsibilities

Shape and drive the AI direction across Digital Workplace, connecting employee productivity and experience needs, emerging technology and enterprise AI strategy to define priorities, opportunities and roadmaps.
Identify and shape high-value opportunities where AI can reimagine how employees work, augment and automate work, improve access to knowledge and information, simplify digital interactions and enable new ways of working.
Develop a cross-functional view of AI needs and opportunities, identifying common requirements, dependencies and shared and reusable AI capabilities that can create value across Digital Workplace.
Bring deep AI technical expertise to product and technology decisions, with strong understanding of generative AI, LLMs, AI agents and agentic workflows, orchestration, RAG/grounding, enterprise search, knowledge architectures, APIs, connectors and enterprise AI platforms.
Evaluate emerging AI technologies and help shape strategic technology and architecture choices, partnering with architects, engineers and AI specialists to balance innovation with scalability, security, Responsible AI and enterprise requirements.
Translate strategic direction and customer needs into product vision, roadmaps, initiatives, epics, features and prioritized backlogs, clearly articulating expected value, outcomes, technical considerations and dependencies.
Drive Agile delivery as Product Owner, providing clear direction to Scrum and multidisciplinary teams, owning prioritization and product decisions, and driving initiatives from discovery and experimentation through MVP, industrialization, adoption and continuous improvement.
Work horizontally across Digital Workplace, partnering with Product Owners and teams to connect priorities, orchestrate cross-functional AI initiatives and ensure solutions contribute to a coherent AI direction and broader productivity outcomes.
Act as a strong customer-facing technology and product partner, leading discovery and co-creation and translating customer challenges into scalable AI opportunities and measurable outcomes.
Build alignment across a complex stakeholder ecosystem including enterprise AI, architecture, engineering, data, security, privacy, Responsible AI, legal, compliance and business stakeholders.
Influence strategic and technical decisions through AI expertise, product judgment and stakeholder mastery, representing Digital Workplace needs and opportunities within the broader enterprise AI ecosystem.

What You Bring

Deep expertise in AI and emerging technologies, including generative AI, LLM-based solutions, AI agents, agentic architectures and orchestration, RAG/grounding, enterprise search and AI integration patterns.
Strong technical understanding of enterprise architectures, data and knowledge integration, APIs/connectors, identity and access, security, privacy and AI governance, with the credibility to engage with and challenge highly technical teams.
Strong Product Owner/Product Management expertise, with demonstrated ability to translate strategic direction into roadmaps, epics, features and prioritized backlogs and to lead Agile/Scrum teams toward outcomes.
A strong tactical and forward-looking perspective, with the ability to anticipate technology evolution, connect opportunities across products and teams, and shape how AI can unlock broader productivity, employee experience and innovation opportunities.
Ability to combine strategic thinking and deep technical understanding with hands-on execution, moving comfortably from AI strategy and architecture discussions to product decisions, epics, backlog prioritization and delivery.
Exceptional customer orientation and stakeholder management, with demonstrated ability to influence, create alignment and drive outcomes across organizational and functional boundaries.
Strong communication and storytelling skills, with the ability to engage effectively with senior stakeholders, customers, Product Owners, architects, engineers and AI specialists.

What Success Looks Like

AI is translated into meaningful improvements in how employees work, while opportunities across Digital Workplace are connected to a clear, coherent and forward-looking AI direction and converted into executable product priorities.

The role helps Digital Workplace anticipate and leverage the evolution of AI, connect needs and opportunities across products and teams, and turn emerging capabilities into scalable and trusted solutions that unlock productivity, accelerate innovation and continuously evolve the digital employee experience.

#RDT2026

Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Madrid. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.

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

AI Technical Product Owner – Digital Workplace at Roche rates 76 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.

Classification

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. Open the description and count.

Key facts

AI Technical Product Owner – Digital Workplace is an open job at Roche.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Madrid.
The job was posted on October 9, 2026.
Applications are handled by Roche. Apply on Roche

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGAI agentsAI Safety

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you think about the risk of an AI system in this kind of role failing silently?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, and AI Safety. 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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