Job Description

AI Governance and Value Manager

Location – Dublin / Kilkenny

Reports to – Head of AI Strategy and Architecture

Glanbia Business Services

Join this dynamic team focused on delivering better nutrition for every step of life’s journey.

The Opportunity

The AI Governance and Value Manager plays a pivotal role in enabling responsible, scalable, and value-driven AI adoption across the enterprise. This role combines strategic governance with hands-on engagement to ensure AI initiatives are aligned with business priorities, deliver measurable benefits, and adhere to ethical and regulatory standards.

Job Responsibilities

Use Case Management & Value Realisation:

• Manage the AI use-case intake funnel, ensuring ideas are captured, evaluated, and progressed through the pipeline.
• Track and report on benefits realisation, highlighting business impact and communicating success stories across the organisation.
• Maintain visibility across Data Squads to ensure alignment and progress.
• Jointly oversee the AI engineering team responsible for delivering selected AI solutions, ensuring alignment with governance standards and value-driven outcomes.

Business Engagement & Ideation

• Facilitate ideation sessions and workshops with business units to uncover high-value AI opportunities.
• Act as a catalyst for innovation, helping teams translate business challenges into AI-enabled solutions.
• Support prioritisation and readiness of use cases for development and deployment
• Continuously scan the horizon to understand where other organisations are getting value from AI and identify similar opportunities within Glanbia

Collaboration & Enablement

• Serve as a subject matter expert on AI governance and value delivery, guiding teams on best practices and strategic alignment.
• Partner with data scientists, engineers, and business leaders to ensure consistent and effective AI adoption.
• Work closely with the AI Strategy and Architecture lead to ensure governance and value frameworks support the broader AI vision.

Governance & Policy Ownership

• Develop and maintain AI governance frameworks, policies, and standards aligned with enterprise data and AI strategies.
• Lead reporting and engagement with Data Councils, ensuring transparency and accountability across AI initiatives.
• Oversee compliance with ethical AI principles, regulatory obligations, and data privacy requirements.
• Work closely with the AI Strategy and Architecture lead to align governance and operations with overall AI strategy.
• Coordinate risk assessments and model lifecycle governance in collaboration with Legal, Risk, and other stakeholders.

Operationalisation of AI:

• Translate AI governance frameworks into actionable processes and controls across business units.
• Establish metrics and dashboards to track AI solution performance, accuracy, fairness and reliability.
• Support the deployment and monitoring or AI models in production environments.
• Collaborate with business teams to coordinate the delivery of prioritised AI use cases.
• Provide technical and operational guidance to ensure consistent adoption of AI practices.

Role Dimensions

Geographic Remit

• Global remit

People Management

• Oversight and management of 3rd party AI / ML technical resources.

Budgetary Management

• Provides advisory and/or management to financial planning and cost control for AI and advanced analytics solutions from an architectural standpoint (as required). Inputs to the cost provision and management of budgets for relevant Data Platforms.

Key Relationships/Customers

Business Stakeholders

• Business Data Owners
• D&A Council
• AI Governance forums
• MDM Governance Manager

IT Stakeholders

• Director of Data, AI & Analytics
• Data Platform teams
• Data Product teams
• Value Stream leads / teams
• Information Security, Risk & Compliance teams

Other

• Third-party providers (e.g., partner services, managed services)

Qualification & Experience Requirements

• Bachelor's or Master's degree in a relevant field (e.g., Data Engineering, Computer Science, Information Technology), or equivalent experience.
• Certifications in AI Governance, Responsible AI, or Data Ethics (e.g., IAPP’s AIGP certification) are highly desirable

Professional Experience

• 5–8 years of experience in roles related to:
• AI/ML, data governance, analytics, or digital transformation.
• Delivering AI governance frameworks and operationalising AI solutions across business units.
• Proven track record in:
• Managing AI use-case pipelines and benefit realisation.
• Facilitating ideation workshops and translating business needs into AI opportunities.
• Collaborating with cross-functional teams including Legal, Risk, and Engineering

Technical and Strategic Skills

• Strong understanding of:
• AI lifecycle management, model governance, and MLOps practices.
• Ethical AI principles, regulatory frameworks (e.g., EU AI Act), and data privacy laws.
• Familiarity with enterprise platforms and tools such as Azure ML, SAP AI features, and Microsoft Copilot.
• Ability to assess feasibility and impact of AI use cases from both technical and compliance perspectives.

Leadership & Collaboration

• Experience in:
• Leading or co-managing AI engineering teams delivering enterprise AI solutions.
• Influencing stakeholders and aligning AI initiatives with strategic goals.
• Acting as a governance ambassador across business units and forums

Value & Impact Orientation

• Skilled in:
• Tracking and communicating benefits realisation of AI solutions.
• Developing dashboards and metrics to monitor AI performance and business impact.
• Driving adoption of AI governance standards and reporting to Data Councils

Key Technical & Leadership Capabilities

TECHNICAL CAPABILITIES & SKILLS

AI & Advanced Analytics Solution Design and Oversight

Designs and maintains end-to-end architectures for AI and complex analytics solutions (e.g., data ingestion, feature engineering, model training and deployment), ensuring alignment with business needs and enterprise architecture standards.

AI & Advanced Analytics Architecture Advisory

Provides architectural oversight to ensure AI and complex analytics solutions are robust, scalable, and explainable; evaluates technical requirements for AI and complex analytics solutions against data availability and implementation complexity.

Model Operationalisation (MLOps)

Supports the build of robust pipelines for model deployment, monitoring, and lifecycle management using MLOps practices.

AI / ML Platform & Tooling Expertise

Provides technical guidance on AI / ML platforms and tools (e.g., TensorFlow, PyTorch, Azure ML) to guide solution development and optimises their use.

LEADERSHIP CAPABILITIES

Drive Strategic Impact

Translates organizational strategy into team strategy using data-driven insights to make effective decisions and take calculated risks, while building strong customer/consumer relationships.

Act with Agility

Introduces change initiatives to address changing business needs by working effectively through uncertainty and with unstructured teams and environments.

Empower Others

Develops a future pipeline of talent by proactively assessing capabilities and creating development goals that leverage effective coaching, delegation, and autonomy.

Lead Inclusively

Creates a psychologically safe environment that removes divides, drives collaboration, and fosters a culture of respect and curiosity.

Innovate with Courage

Encourages team to build new capabilities, explore new ideas and emerging technologies, and engage in a constructive approach to lessons learned.

Communicate with Purpose & Vision

Delivers inspirational communications that mark progress toward archiving organizational vision, cultivate a sense of shared purpose, and build buy-in with key stakeholders.

If you think you have what it takes, but don't necessarily meet every single point on the job description, please apply!

Where and How You Will Work

The opportunity will be based in Dublin/ Kilkenny with hybrid working arrangements available, which allows you greater choice in how you work and live, giving you a better work-life balance.

What We Would Like to Offer You

The opportunity to develop your career on a global stage, continuous learning through an on-demand learning platform, and a competitive compensation package including staff discounts, generous family leave policy, health plan, pension and competitive salary.

About Glanbia

Glanbia is a better nutrition company with three divisions: Performance Nutrition, Health & Nutrition and Dairy Nutrition. Collectively and with our partners we offer an incredible breadth of expertise in nutrition. We employ a team of 6000 people, work with global food and beverage companies, and sell our award-winning and market-leading brands and ingredients in more than 100 countries worldwide.

At Glanbia, we celebrate diversity, because we know that our individual strengths make us stronger together. We welcome and encourage interest from a variety of candidates. We will give your application consideration, without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.