Senior Product Owner - Research and Ontology

Do you know askblue ?

We were born in 2013, and we provide services in the field of information technology.

We are looking for Senior Product Owner (SPO) - Research and Ontology to join us in one of our projects, in the the regulatory intelligence sector located in Lisbon . The SPO is responsible for strategically managing the development of AI research initiatives, semantic search capabilities, ontology and metadata frameworks, and AI-powered product features that support the company AI products. You will work closely with other product owners, product managers, engineers, researchers, ontology specialists, designers and other stakeholders to ensure that innovative ideas are validated and transformed into scalable solutions. You will have a deep understanding of the technical and functional aspects of the product, this means knowing how it works, what makes it unique, and how it fits into the larger picture of the user's needs and company's overall strategy.

Tasks:

• Engaging with Product Managers, Engineering, Architecture, AI teams and business stakeholders to execute the vision, roadmap, and strategic direction of company's AI research initiatives, ontology capabilities, and AI-powered products. • Defining and prioritizing AI research initiatives, semantic search capabilities, ontology improvements, metadata enrichment strategies, and AI-powered customer experiences that support strategic AI initiatives across the portfolio. • Contributing to the definition and execution of the strategy, roadmap, and priorities for semantic search, retrieval-augmented generation (RAG), knowledge discovery, ontology evolution, metadata management, and AI-enabled content experiences. • Ensuring AI research initiatives, ontology models, metadata frameworks, and AI-powered functionality align with governance, security, privacy, regulatory, explainability, and customer requirements. • Working closely with Architecture, Engineering and AI teams to define system interactions, knowledge retrieval approaches, metadata standards, ontology structures, and AI solution capabilities. • Coordinate delivery across multiple products, ensuring dependencies, ownership transitions, and delivery handoffs are clearly defined and managed. • Facilitating the transition of initiatives from research, experimentation, and prototyping into product delivery, ensuring success criteria, business value, ownership, and delivery expectations are clearly understood before implementation begins. • Ensuring teams have sufficient customer context, business understanding, user workflows, prototypes, and solution objectives to make informed product and technical decisions throughout the product lifecycle. • Coordinating with architecture, engineering managers, tech leads, researchers, and engineers to ensure a common understanding of requirements, priorities, technical constraints, and business objectives. • Strategically prioritizing complex AI and ontology-related backlog items based on business value, customer impact, technical dependencies, risk, and delivery sequencing. • Creating user stories and acceptance criteria that clearly articulate product requirements, expected behaviors, customer outcomes, and quality expectations for each feature or capability. • Ensuring that maximum business value is delivered as early as possible, through effective planning, prioritization, and stakeholder alignment. • Partnering with Product Management, UX, and business stakeholders to validate customer workflows, AI adoption patterns, usability expectations, and future product opportunities. • Communicating with stakeholders to ensure alignment on priorities, functionality, delivery status, risks, dependencies, roadblocks, and strategic objectives. • Coaching Product Owners within the team, sharing experiences, best practices, and expertise to support professional growth and product management excellence.