Product Owner - Life Sciences & Healthcare
- Hiring from
- Spain
- Work type
- Hybrid
- Posted
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We are looking for a Senior Product Owner to join our AI Agents, Data Products & Platform team at Insira in Barcelona (Hybrid )
The main purpose of the Senior Product Owner is to help advance our next generation of data and AI-enabled products for life sciences, healthcare and pharmaceutical industries. The Senior Product Owner works hand in hand with the Lead Product Manager, translating product strategy and customer needs into clearly defined, executable initiatives across AI agents, APIs and data feeds, data products, and our data platform. The role provides the execution leadership required to move strategic priorities from concept through development and delivery, and calls for someone who creates clarity, removes ambiguity, drives decisions and keeps complex initiatives moving.
About You – experience, education, skills, and accomplishments
- Proven experience as a Product Owner or Technical Product Owner delivering enterprise software or data products
- Strong experience with backlog management, user stories and acceptance criteria
- Good technical understanding of APIs (REST/GraphQL) and data platform concepts, including data models, data processing pipelines and data quality
- Strong communication, analytical and problem-solving skills
- Comfortable operating at the intersection of product, technology, data and customers, and thriving in an environment where priorities and technologies are evolving rapidly
- Relentless focus on outcomes, execution and delivery
It would be great if you also have:
- Experience working in an Agile/Scrum environment, as a Scrum Product Owner or with Scrum product-development practices
- Experience working with AI/ML or GenAI products
- Exposure to AI agents, agentic workflows or LLM-based applications
- Experience with APIs, particularly API-based product offerings
- Experience with data products, data feeds or data licensing products
- Experience with cloud data platforms, data architecture or modern data ecosystems
- Familiarity with knowledge graphs, semantic technologies, metadata, ontologies or interconnected datasets
- Experience building B2B or enterprise technology products
- Experience supporting pre-sales, customer discovery, implementation or post-sales activities
- Experience in life sciences, healthcare, pharmaceuticals or scientific information products
What will you be doing in this role?
- Drive product execution and delivery: partner closely with the Lead Product Manager to translate portfolio strategy, customer needs and product priorities into executable product initiatives, and own them from requirements and discovery through development, validation and release
- Define the work: translate product objectives into well-defined requirements, user stories, acceptance criteria and prioritized development work
- Manage dependencies and risks: maintain a strong understanding of dependencies, risks and blockers and proactively drive them toward resolution
- Bring structure and clarity to complex initiatives involving multiple products, datasets and technical teams
- Balance priorities: weigh immediate customer and commercial needs against longer-term strategic platform capabilities
- Support the portfolio: AI agents and agentic products; APIs and data feeds; AI-ready and traditional data products; data platform capabilities; machine-to-machine and agent-to-agent data consumption; and emerging methods of delivering data, answers and insights to customers
- Be the bridge between teams: act as an effective link between Product Management, Engineering, Data, Architecture and other stakeholders, communicating product objectives and requirements clearly to technical and non-technical audiences
- Engage customers: listen to customer and stakeholder feedback and translate it into actionable product requirements, and support customer-facing and commercial teams where product expertise is required
- Create shared understanding: help ensure technical teams understand not just what needs to be built, but why it matters to the customer and business
- Communicate progress, decisions, risks and dependencies clearly and proactively
About the Team
This role will work hand in hand with the Lead Product Manager as part of the AI Agents, Data Products & Platform team, you will report to the Senior Manager of Product management
Hours of Work
This is a permanent full-time position at 40 hours a week (35 hours during July and August).
The working schedule is flexible, mostly centered on CET time zone with occasional need to accommodate late or early meetings with US or East Asia time zones.
The position is hybrid going to the office in Barcelona 2-3 times per week.
What We Can Offer You
- A modern culture environment combined with all the financial and stability advantages of working for a large business.
- Active volunteering community, with annual paid hours of volunteering time.
- Private Health and Life & Disability insurances.
- Tax-free benefits (Ticket Restaurant scheme, kindergarten and transport cards).
- Global and dynamic employee base (more than 20 nationalities)
