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At a glance
- Employment type
- Full-time
- Location
- Ireland
- Workplace
- On-site
- Category
- Product / Owner
Technologies & skills
Other technical skills
What you'll be doing
Join a global organization as an AI Product Owner to identify high-value AI opportunities, assess emerging technologies, and drive AI solutions from idea to production. Collaborate with business and tech teams, shape the AI roadmap, and lead workshops, testing, and continuous improvement initiatives.
- Lead discovery sessions with business stakeholders to identify AI-enabled automation opportunities
- Define use cases, problem statements, business objectives, KPIs, and success criteria
- Evaluate emerging AI technologies for feasibility and business impact
- Act as Product Owner across the full lifecycle from idea to production
- Collaborate with architects and engineers to shape AI solutions and integrations
- Design and refine AI agents, Copilot solutions, prompts, and workflows
- Own and prioritize product backlogs
- Lead workshops, demonstrations, testing, and stakeholder reviews
Key requirements
Must-have
- Strong experience as a Business Analyst, Product Owner, or similar technology delivery role
- Excellent stakeholder management and communication skills
- Strong analytical and problem-solving ability
- Experience leading workshops and requirements-gathering activities
- Strong understanding of Agile software delivery and SDLC
- Experience translating business requirements into user stories and acceptance criteria
- Testing and quality mindset for AI solutions
- Genuine interest in AI, Generative AI, automation, and emerging technology
Nice-to-have
- Experience with Microsoft Copilot or Copilot Studio
- Experience with AI Agents
- Experience with Generative AI
- Prompt Engineering
- Power Platform
- AI Testing & Evaluation
Role signals
- Technical focus
- AI product ownership, business analysis, stakeholder engagement, requirements definition, testing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
AI Business Analyst / Tech Product Owner
Shape the Future of AI
Join a global organisation building a brand-new AI team and be at the forefront of how AI is adopted across the business.
We’re looking for an ambitious AI Business Analyst / Tech Product Owner to identify high-value opportunities, assess emerging AI technologies and drive AI solutions from idea through to production.
You’ll work across business and technology teams to turn real business challenges into innovative AI solutions, helping shape the organisation’s AI roadmap, investment decisions and approach to AI at scale.
A key part of the role will be working with Microsoft Copilot Studio, AI agents, Generative AI and intelligent automation, testing what’s possible and determining where these technologies can deliver genuine business value.
Key Responsibilities
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Lead discovery sessions with business stakeholders to identify opportunities for AI-enabled automation and transformation.
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Define use cases, problem statements, business objectives, KPIs and success criteria.
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Evaluate emerging AI technologies and assess feasibility, value and potential business impact.
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Act as Product Owner across the full lifecycle — from idea and proof of concept through to production and continuous improvement.
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Work closely with architects and engineers to shape AI solutions, workflows and integrations.
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Help design and refine AI agents, Copilot solutions, prompts, instructions and conversational workflows.
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Own and prioritise product backlogs, balancing business value, technical complexity and speed to market.
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Lead workshops, demonstrations, testing and stakeholder reviews.
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Define acceptance criteria and test scenarios, including functional and behavioural testing of AI solutions.
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Monitor production performance, user feedback and business outcomes to drive continuous improvement.
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Help establish the standards, frameworks and decision-making approach for AI across the organisation.
What We’re Looking For
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Strong experience as a Business Analyst, Product Owner, Technical Product Owner or similar technology delivery role.
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Excellent stakeholder management and communication skills, including confidence working with senior business and technology leaders.
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Strong analytical and problem-solving ability.
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Experience leading workshops, discovery and requirements-gathering activities.
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Strong understanding of Agile software delivery and the full SDLC.
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Experience translating business requirements into clear scope, user stories and acceptance criteria.
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A strong testing and quality mindset, with the ability to assess whether AI solutions are delivering the intended outcome.
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Genuine interest in AI, Generative AI, automation and emerging technology.
Experience with any of the following would be highly valuable:
Microsoft Copilot / Copilot Studio | AI Agents | Generative AI | Prompt Engineering | Power Platform | AI Testing & Evaluation | Data & Analytics | JIRA / Confluence
Why Join?
This is a chance to join a brand-new AI team from the ground up and have a genuine influence on how a global organisation approaches AI.
You won’t just be delivering AI projects — you’ll be helping decide which AI opportunities are worth pursuing, what technologies to use and how AI can deliver measurable value across the business.
Be at the forefront. Test what’s new. Drive what’s next.
This is a day rate contract role – 3 days onsite in South Dublin. Non negotiable.
Apply Now
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the AI Product Owner role focuses on identifying high-value AI opportunities, shaping AI solutions from concept to production, and collaborating across business and technology teams to drive AI adoption and value.
- Stakeholder Engagement·High
- AI Product Lifecycle Management·High
- Technical Evaluation of AI Solutions·Medium
- Testing and Quality Assurance·Medium
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review AI Product Ownership Case Studies
0–8 minPrepare 1-2 examples from your experience where you led AI or automation projects from discovery to production, focusing on business value and stakeholder engagement.
Refresh Knowledge of Microsoft Copilot Studio and Generative AI
8–15 minStudy the latest features, use cases, and best practices for Copilot Studio, AI agents, and prompt engineering relevant to the role.
Practice Explaining Requirements Gathering and Workshop Facilitation
15–21 minRehearse how you lead workshops, gather requirements, and translate them into actionable user stories and acceptance criteria.
Prepare for Testing and Evaluation Discussions
21–26 minBe ready to discuss your approach to defining acceptance criteria, conducting testing, and ensuring continuous improvement in AI solutions.
Draft Role-Specific Questions
26–30 minPrepare thoughtful questions about the team’s priorities, AI governance, and success metrics to ask during the interview.
Talking points
, 5 itemsLeading Discovery Sessions and Workshops
Be ready to discuss how you facilitate sessions to uncover business needs and AI opportunities, as this is central to the role.
Defining Use Cases and Success Criteria
Prepare examples of translating business challenges into actionable AI use cases, KPIs, and measurable outcomes.
Product Ownership Across the AI Solution Lifecycle
Demonstrate your experience managing products from ideation through production, including backlog prioritization and stakeholder reviews.
Evaluating and Integrating Emerging AI Technologies
Showcase your ability to assess new AI tools (e.g., Copilot Studio, Generative AI) for feasibility and business impact.
Testing and Quality Assurance for AI Solutions
Highlight your approach to defining acceptance criteria, conducting functional and behavioral testing, and ensuring solutions deliver intended outcomes.
What to research
, 4 itemsFamiliarity with Microsoft Copilot Studio and AI Agents
Review the capabilities and use cases of Microsoft Copilot Studio, AI agents, and prompt engineering as these are highlighted in the role.
AI Solution Lifecycle and Agile Delivery
Refresh your understanding of Agile methodologies, SDLC, and how they apply to AI product development and delivery.
Workshop Facilitation and Requirements Gathering
Prepare examples of leading workshops, discovery sessions, and translating business needs into actionable requirements.
Testing and Evaluation of AI Solutions
Be ready to discuss your approach to defining acceptance criteria, conducting testing, and ensuring quality in AI projects.
Questions to ask
, 6 itemsWhat are the immediate priorities for the new AI team in the first 6-12 months?
Why ask this? Clarifies expectations and helps you understand where you can add value quickly.
How does the organization currently identify and prioritize AI opportunities across business units?
Why ask this? Gives insight into the decision-making process and your potential influence.
What are the main challenges the team has faced in adopting AI solutions so far?
Why ask this? Helps you anticipate obstacles and demonstrate proactive problem-solving.
How is success measured for AI initiatives, and what KPIs are most important?
Why ask this? Shows your focus on delivering measurable business value.
What level of collaboration is expected with technical teams such as architects and engineers?
Why ask this? Clarifies cross-functional working relationships and expectations.
Are there established frameworks or standards for AI development and governance within the organization?
Why ask this? Helps you understand the maturity of AI practices and where you can contribute.
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