Who We Are:
Enhesa is the leading provider of regulatory and sustainability intelligence worldwide. As a trusted partner, we empower the global business community with the insight to act today and prepare for tomorrow to create a more sustainable future - positively impacting our environment, our health, our safety, and our future. Navigating the fast-changing compliance and sustainability landscapes, we help them understand not just what they should do (first) but also how to do it. Both in their unique business and anywhere in the world. Now and in the future.
Our Mission:
- Identify EHS requirements for the industry
- Provide EHS compliance tools to companies
- Advise companies in developing and implementing corporate EHS strategies
Enhesa’s core clients include Fortune 500 multinational companies. For more information, visit www.enhesa.com
As part of our highly dynamic team, we offer:
- A competitive salary package & benefits with a flexible home-working policy
- Work/life balance and a fast-paced and driven environment
- Accountability and pride for your projects
The Senior Product Owner (SPO) – Research & Ontology 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 our Enhesa 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.
Main tasks and responsibilities
- Engaging with Product Managers, Engineering, Architecture, AI teams and business stakeholders to execute the vision, roadmap, and strategic direction of Enhesa’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
Key requirements
Education Level
Bachelor’s or advanced degree in Computer Science, Information Technology, Software Engineering, or related.
Suggested Experience
At least 3-5 years of experience as a Product Owner
Technical Skills
- Experience in delivering cloud-based software projects
- Strong knowledge of Agile methodologies, prioritization frameworks and implementation experience
- Knowledge of distributed systems, APIs, microservices, and modern software architectures, with the ability to understand how AI, search, ontology, and data capabilities integrate within larger product ecosystems.
- Experience working with data platforms, metadata management, information retrieval systems, and interoperability between systems.
- Knowledge of ontology management, taxonomy design, knowledge representation, semantic technologies, metadata frameworks, or information architecture concepts.
- Experience with semantic search, Retrieval-Augmented Generation (RAG), vector databases, knowledge discovery, and AI-powered user experiences.
- Experience collaborating with Research, Architecture, Engineering, Data, and Platform teams to translate technical designs and research outcomes into product requirements, roadmaps, and customer-facing capabilities.
- Familiarity with AI-enabled solutions, Large Language Models (LLMs), retrieval-based systems, AI evaluation approaches, and AI governance concepts.
- Experience managing the transition of initiatives from research and experimentation into scalable product capabilities is desirable.
- Knowledge of Jira, Confluence, and other product management and collaboration tools.
Soft Skills
- Communication skills & Stakeholder Management: Communicate with many different stakeholders, including members of Product Management, Research, Engineering, Data, Architecture, business teams, and internal customers. You need to communicate effectively in written form, verbally, and through visual means, translating complex AI, ontology, metadata, and technical concepts into language that is easily understood by stakeholders.
- Cross-Team Collaboration & Influence: Successfully align and drive outcomes across multiple teams and stakeholders without direct authority. Facilitates collaboration, resolves conflicts, and promotes shared ownership of objectives and results.
Systems Thinking: Ability to understand and evaluate complex ecosystems of products, knowledge domains, ontologies, metadata frameworks, AI capabilities, content workflows, and organizational dependencies, balancing immediate delivery needs with long-term scalability, maintainability, discoverability, and business objectives - Risk and Dependency management: Capacity to anticipate, assess, and address potential challenges, uncertainties or dependencies effectively. It requires critical thinking, adaptability, and good communication to navigate risks and make informed decisions, all while minimizing negative impacts and maximizing opportunities.
- Technical Expertise: Demonstrates a solid understanding of AI-enabled solutions, Large Language Models (LLMs), semantic search, Retrieval-Augmented Generation (RAG), ontology and metadata concepts, knowledge discovery, cloud technologies, and modern software development practices. Uses technical knowledge to make informed product decisions and facilitate discussions between business, research, and engineering teams.
- Research-to-Delivery Leadership: Experienced in guiding initiatives from discovery, experimentation, and research through validation, productization, and delivery. Facilitates smooth ownership transitions between Research, Ontology, and Delivery while maintaining focus on customer outcomes and business value.
- Problem-solving skills. Ability to solve complex problems and make decisions that benefit both the business and the customer. Identifies challenges, evaluates possible solutions, and balances customer needs, business value, technical feasibility, and strategic priorities to achieve meaningful outcomes.
- Strategic Execution & Prioritization: Successfully translate strategic objectives into actionable priorities and deliverables, balancing business value, technical complexity, dependencies, and risk to maximize value delivery.
- Leadership and coaching: Coach junior Product Owners, to help them grow in a safe environment, supported by the best practices in the market
If you are ready to join our journey, please apply!
Equal Opportunity Employer
Enhesa is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic.
Skills Required
- Bachelor's or advanced degree in Computer Science, Information Technology, Software Engineering, or related
- 3-5 years experience as a Product Owner
- Experience delivering cloud-based software projects
- Strong knowledge of Agile methodologies and prioritization frameworks
- Knowledge of distributed systems, APIs, and microservices
- Experience with data platforms, metadata management, and information retrieval systems
- Knowledge of ontology management, taxonomy design, semantic technologies, and information architecture concepts
- Experience with semantic search, Retrieval-Augmented Generation (RAG), vector databases, and knowledge discovery
- Familiarity with Large Language Models (LLMs), retrieval-based systems, AI evaluation approaches, and AI governance concepts
- Experience managing transition of initiatives from research/experimentation into scalable product capabilities
- Knowledge of Jira, Confluence, and product management collaboration tools
- Strong communication and stakeholder management skills (translate complex technical concepts for non-technical audiences)
- Cross-team collaboration, influence, and leadership/coaching skills to mentor junior Product Owners
- Systems thinking and risk/dependency management skills
What We Do
Enhesa is partner to multi-national corporations that want to help make the world a better place. Our comprehensive EHS and product compliance support empowers our clients to be relevant and resolute in taking care of the environment, health and safety of their collective - globally and locally. Over the past 25 years, Enhesa has built an extensive knowledgebase of EHS and product regulatory content in more than 300 jurisdictions with support in 30+ languages. Combining advanced expertise with the latest AI-powered technology, our team of 75 in-house legal experts translate complex regulatory data into clear requirements. With our standardized, centralized regulatory content, organizations can achieve seamless compliance across their complete business scope - from how they operate to what they create. In 2020 Chemical Watch - the leading global provider of independent intelligence and insight for product safety professionals managing chemicals - was acquired. Their insight helps businesses create safer products and stay ahead of the dynamic chemicals management agenda. In 2021 Scivera – helping leading product brands across the globe to create better products via better chemicals – was acquired. They are driving the transformation towards safer chemistry and material health – and help businesses to simplify the start of their chemical management program. Also in 2021, HCB was acquired - publishing key insights on the global transport, handling and storage of dangerous goods. It is our mission to help build a safer, more sustainable world. We help companies transform their product and operational compliance management. We want you to stay on top of emerging and evolving regulations, fully in the know of what compliance means now and how it will change in the future. We help you comply with confidence – today, tomorrow, across the globe.
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