AI Experimentation Lead (TLG4DA03)

Pobal

Contract

On-site

Ireland

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

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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