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AI Business Analyst/Product Owner
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At a glance
- Employment type
- Contract
- Workplace
- Hybrid
- Day rate
- €400-550/day (EUR)
- Category
- Product / Owner
What you'll be doing
AI Business Analyst/Product Owner role on a 12-month contract in Dublin (hybrid). Responsible for shaping, defining, and supporting delivery of AI-enabled automation solutions, acting as the interface between business stakeholders and engineering teams throughout the solution lifecycle.
- Lead discovery activities with business stakeholders to identify AI-enabled automation opportunities
- Define problem statements, business objectives, and success criteria
- Perform feasibility assessments with architects, engineers, and stakeholders
- Translate business requirements into scope, acceptance criteria, and delivery objectives
- Act as Product Owner throughout the delivery lifecycle
- Work with architects and engineers to align requirements with technical designs
- Review and validate solution designs, agent instructions, and workflow definitions
- Maintain and prioritise delivery backlogs
Key requirements
Must-have
- Experience as a Business Analyst, Product Owner, or related role in technology delivery
- Excellent written, verbal, and interpersonal communication skills
- Ability to communicate with senior business and technology stakeholders
- Experience facilitating workshops, discovery sessions, and requirement gathering
- Strong analytical and problem-solving skills
- Experience working with data for business analysis and solution validation
- Ability to define measurable business outcomes and KPIs
- Experience translating business requirements into deliverable scope and acceptance criteria
Nice-to-have
- Experience as a Product Owner in Agile teams
- Experience supporting AI, analytics, or technology-enabled business solutions
- Experience designing prompts, agent instructions, and conversational workflows
- Understanding of Financial Services, Corporate Finance, or regulated environments
- Experience with SQL, reporting platforms, or business analytics tools
- Familiarity with Microsoft Copilot Studio
Role signals
- Technical focus
- AI-enabled automation, business analysis, product ownership
- Hands-on vs management
- Hands-on
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Full job description
AI Business Analyst/ Product Owner
12 months contract
Hybrid working
€400 - €550 per day
AI Business Analyst (Tech Product Owner)
Our clients are looking for a talented AI Business Analyst / Product Owner to join the Enterprise Risk & Finance Technology team. The successful candidate will be responsible for shaping, defining and supporting delivery of AI-enabled automation solutions throughout their full lifecycle, from initial feasibility assessment through to production deployment and continuous improvement.
This role acts as the primary interface between business stakeholders and engineering teams, ensuring that AI agents remain aligned to clearly defined business objectives, measurable success criteria and high quality standards. Working closely with business users, architects and software engineers, the Product Owner will help shape innovative solutions that automate complex business processes within a highly regulated enterprise environment.
As an AI Business Analyst / Product Owner your main responsibilities will involve:
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Lead discovery activities with business stakeholders to identify opportunities for AI-enabled automation and process improvement.
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Define clear problem statements, measurable business objectives and success criteria for proposed solutions.
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Perform feasibility assessments in partnership with architects, software engineers and business stakeholders.
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Translate business requirements into clearly defined scope, acceptance criteria and delivery objectives.
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Act as Product Owner throughout the delivery lifecycle, ensuring solutions remain aligned to business objectives and measurable outcomes.
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Work closely with architects and software engineers to ensure functional requirements are aligned to technical designs and implementation approaches.
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Review and validate solution designs, agent instructions, system prompts, workflow definitions and supporting solution artefacts to ensure alignment with business intent.
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Maintain and prioritise delivery backlogs, balancing business value, technical constraints and delivery priorities.
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Lead stakeholder workshops, requirement discussions, demonstrations and solution reviews.
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Coordinate and support user acceptance activities and production readiness reviews.
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Define test scenarios, quality standards and acceptance criteria for AI-enabled solutions.
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Perform hands-on functional, behavioural and quality testing of delivered solutions.
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Support development and execution of automated testing and evaluation approaches.
Must Have Skills & Experience
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Strong experience working as a Business Analyst, Product Owner or related role within technology delivery organisations.
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Excellent written, verbal and interpersonal communication skills.
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Proven ability to communicate confidently with senior business and technology stakeholders.
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Experience facilitating workshops, discovery sessions, requirement gathering activities and solution discussions.
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Strong analytical and problem-solving skills.
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Experience working with data to support business analysis, solution validation and decision making.
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Ability to define measurable business outcomes, success criteria and KPIs.
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Experience translating business requirements into deliverable scope and acceptance criteria.
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Experience supporting software development lifecycles within Agile delivery environments.
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Strong testing and quality assurance mindset.
Preferred Skills & Experience
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Experience operating as a Product Owner within Agile delivery teams.
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Experience supporting AI, analytics or technology-enabled business solutions.
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Experience reviewing, refining or designing prompts, agent instructions and conversational workflows.
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Good understanding of Financial Services, Corporate Finance or other regulated business environments.
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Experience working with SQL, reporting platforms or business analytics tools.
Desirable Skills
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Familiarity with Microsoft Copilot Studio.
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Familiarity with Microsoft Power Platform technologies.
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Experience working with AI agents, Generative AI or related technologies.
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Experience using Agile delivery tooling including JIRA and Confluence.
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Experience supporting enterprise software delivery within large organisations.
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the AI Business Analyst/Product Owner role focuses on leading the delivery of AI-enabled automation solutions by bridging business needs and technical teams, with a strong emphasis on requirements gathering, solution validation, and Agile product ownership in a regulated environment.
- AI-enabled automation experience·High
- Business analysis and requirements definition·High
- Product ownership in Agile teams·Medium
- Stakeholder communication·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review AI Automation Case Studies in Regulated Industries
0–7 minSpend time reading about successful AI automation projects in financial services or similar sectors to understand common challenges and solutions.
Prepare Examples of Workshop Facilitation and Requirements Gathering
7–13 minReflect on and outline specific instances where you led discovery sessions or requirements workshops, focusing on your approach and outcomes.
Refresh Agile Product Ownership Practices
13–19 minReview key Agile concepts, especially backlog management, user stories, and acceptance criteria relevant to AI solution delivery.
Summarise Your Experience with AI, LLMs, or Automation Technologies
19–25 minList and prepare to discuss relevant projects where you worked with AI agents, LLMs, or automation, highlighting your role and impact.
Practice Communicating Technical Concepts to Non-Technical Stakeholders
25–30 minRehearse explaining complex technical ideas in simple terms, using examples from your experience to illustrate your communication skills.
Talking points
, 6 itemsLeading Discovery and Requirements Workshops
You will need to demonstrate your ability to facilitate sessions that uncover business needs and translate them into actionable requirements; prepare examples of how you've led similar workshops.
Defining Measurable Business Outcomes and KPIs
The role requires setting clear objectives and success criteria; be ready to discuss how you have defined and tracked KPIs for technology projects.
Translating Business Requirements into Technical Deliverables
You must show experience in bridging business and technical teams; prepare to explain your process for creating acceptance criteria and delivery objectives.
Supporting AI-Enabled Solution Delivery
Experience with AI agents, LLMs, or automation is valued; have examples ready where you contributed to or validated AI-driven solutions.
Testing and Quality Assurance Mindset
The role emphasizes hands-on testing and validation; be prepared to discuss your approach to defining test scenarios and ensuring solution quality.
Stakeholder Communication and Alignment
You will act as the main interface between business and technical teams; prepare stories that show your ability to manage expectations and maintain alignment.
What to research
, 4 itemsAI-Enabled Automation in Regulated Environments
Review case studies or best practices for implementing AI automation in financial services or other regulated sectors.
Agile Product Ownership and Backlog Management
Refresh your knowledge of Agile methodologies, especially around backlog prioritisation, user stories, and acceptance criteria.
Stakeholder Workshop Facilitation Techniques
Prepare examples and techniques for running effective discovery and requirements workshops with diverse stakeholders.
Testing and Quality Assurance for AI Solutions
Understand approaches for functional, behavioural, and quality testing of AI-enabled solutions, including defining test scenarios and acceptance criteria.
Questions to ask
, 6 itemsWhat types of AI-enabled automation projects are currently being prioritised by the Enterprise Risk & Finance Technology team?
Why ask this? To understand the team's focus areas and align your experience with their needs.
How are business stakeholders typically involved throughout the solution delivery lifecycle?
Why ask this? To clarify expectations for stakeholder engagement and collaboration.
What tools and platforms does the team use for backlog management, requirements tracking, and solution validation?
Why ask this? To assess your familiarity with their technology stack and processes.
How does the team ensure compliance and quality standards for AI solutions in a regulated environment?
Why ask this? To understand the importance of regulatory requirements and quality assurance in your role.
What are the main challenges the team faces when delivering AI-enabled solutions, and how can this role help address them?
Why ask this? To identify pain points and demonstrate how you can add value.
How is success measured for AI automation projects within the organisation?
Why ask this? To gain insight into performance metrics and expectations for the role.
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