AI Experimentation Lead

Job Details

Role Requirements

Role Requirement 1 Leadership of AI Initiatives

• Champion the identification, prioritisation, and delivery of high-impact AI use cases across the organisation.
• Lead the development of an AI roadmap aligned with organisational goals, data / technology strategies, and ethical standards.
• Establish governance structures for AI experimentation, including review boards and risk assessments.
• Act as a bridge between technical teams and operational stakeholders to ensure clarity, buy-in, and shared ownership.
• Communicate AI capabilities and limitations clearly to non-technical audiences.
• Lead internal engagement efforts including show-and-tell sessions, training, and policy briefings
• Identify, trial and select appropriate and secure AI tools and software

Role Requirement 2 AI Use Case Discovery and Evaluation

• Develop and document a work programme of potential AI use cases, proposals on investigation mechanisms and associated resource needs for Governance sign-off
• Manage AI discovery sprints with multi-disciplinary teams across ICT, D&A, and Operations.
• Facilitate cross-functional workshops to uncover operational pain points and opportunities for AI intervention.
• Evaluate use cases based on feasibility, data availability, ethical implications, and expected value.
• Prepare structured test datasets using historical documentation and process data (e.g. BRS, FRS, appraisal records).
• Design, run and evaluate proof-of-concept AI models and tools (e.g. generative AI, classification, NLP).
• Document findings, develop recommendations for actions and develop materials for Governance structures to support decision-making on scale-up readiness.
• Define success metrics and KPIs for each AI initiative, ensuring alignment with business outcomes.

Role Requirement 3 Cross-functional Coordination and Engagement

• Facilitate engagement with operational Subject Matter Experts to understand core business processes and constraints.
• Lead regular workshops and show-and-tell sessions to share findings and build understanding of AI potential.
• Lead and coordinate short, intensive sprints to trial and test the applicability of AI solutions to real world business problems
• Contribute to the development of organisation-wide AI policies, training and governance standards.
• Develop monitoring, maintenance and oversight procedures deployed AI agents
• With strategic vision, future proof delivered solutions to ensure business continuity and possible simplification and automation of deployed products.
• Bring a strategic perspective to ensure solutions are resilient, adaptable, and future-ready, supporting both business continuity and opportunities for automation and simplification.

Role Requirement 4 Ethical and Compliant AI Use

• Ensure alignment of all activities with Pobal’s Generative AI Policy, DPER AI Guidelines and the EU AI Act.
• Work with DPO and Cybersecurity & Governance manager to define appropriate safeguards, audit trails and data privacy controls in pilot initiatives.
• Advocate for responsible, explainable and human-in-the-loop AI models.
• Collaborate with ICT and data teams to ensure infrastructure and data governance compliance.

Required Experience

• At least 3 years' experience in a digital, data, analytics, product or systems delivery role in a public sector or mission-driven organisation.
• Proven ability to manage short-cycle pilots or proof-of-concepts, ideally involving new technologies or emerging processes.
• Strong understanding of business process analysis, systems design, or digital transformation principles.
• Demonstrated capability to lead work cross-functionally with technical and non-technical stakeholders.
• Familiarity with one or more of the following: Microsoft Azure, Copilot, Python, Jupyter, Power Automate, OpenAI APIs or similar.
• Effective communicator with strong documentation and facilitation skills.

Qualifications

• Relevant Third Level qualification (e.g., Degree) equivalent is essential

Desirable Skills & Knowledge

• Experience of using generative AI for real world business solutions
• Demonstrated proficiency in prompt engineering, including crafting and refining prompts to improve generative AI outputs and model interactions.
• Understanding of AI agents and their applications
• Understanding of AI security considerations
• Strong experience with machine learning model development and deployment
• Collaborating with cross-functional teams to integrate AI
• Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
• Understanding of the fundamentals of information security and data protection

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