Senior Product Owner - Integration & Platform

Overview of the position

The Senior Product Owner (SPO) – Integration & Platform is responsible for strategically managing the development of our AI platform capabilities, integrations, data services, products, or features. You will work closely with other product owners, product managers, engineers, architects and other stakeholders to ensure that all ideas become a reality. 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. For AI platform and data domains, the SPO will help translate strategic objectives into actionable roadmaps, priorities, and deliverables while ensuring alignment across multiple teams and stakeholders.

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 platform capabilities that enable multiple product teams, ensuring scalability, security, reliability, and operational excellence across the AI portfolio
• Contributing to the definition and execution of the strategy, roadmap, and priorities for data ingestion, data availability, APIs, integrations, and interoperability between Enhesa AI products and services..
• Acting as the voice of internal product teams and engineering consumers, ensuring data and platform services effectively support business objectives and product delivery
• Ensuring our AI platform and data capabilities align with security, privacy, governance, regulatory, and customer requirements
• Working closely with Architecture, Engineering, Security, and Platform teams to define system interactions, integration patterns, data flows, APIs, and shared platform capabilities
• Coordinating delivery across multiple products, ensuring dependencies, ownership transitions, and delivery handoffs are clearly defined and managed.
• Coordinating with architecture, engineering managers, tech leads and developers to ensure a common understanding of requirements, priorities, technical constraints, and business objectives.
• Strategically prioritizing complex AI product backlog items based on business value, 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.
• 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, event-driven architectures, and modern integration patterns
• Experience working with data platforms, data pipelines, metadata management, and interoperability between systems
• Knowledge of security, authentication, authorization, and governance considerations for enterprise software platforms
• Experience collaborating with Architecture, Engineering, and Platform teams to translate technical designs into product requirements and roadmaps
• Familiarity with AI-enabled solutions, large language models (LLMs), retrieval-based systems, and AI governance concepts is desirable
• Knowledge of JIRA, Confluence and other project management tools.

Soft Skills

• Communication Skills & Stakeholder Management: Communicates effectively with a diverse range of stakeholders, including Product Management, Engineering, Architecture, Data, Platform, Security and business teams. Demonstrates strong written, verbal, and visual communication skills, including presentations, workshops, and documentation. Effectively translates complex technical concepts related to platform capabilities, data services, integrations, architecture, and AI technologies into clear and actionable information tailored to both technical and non-technical audiences.
• 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, platforms, data flows, integrations, and dependencies, balancing immediate delivery needs with long-term scalability, maintainability, 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 good understanding of AI platform architectures, integrations, APIs, data flows, cloud technologies, and modern software development practices. Uses technical knowledge to make informed product decisions and facilitate discussions between business and engineering teams
• Problem-solving skills. Ability to solve problems and make decisions that benefit the company and the product. They need to be able to identify issues and find solutions that work for everyone involved. This can include finding ways to improve the product, to reduce costs and to meet the customer needs.
• 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.