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AI Portfolio Analyst
ICON Plc —Dublin, County Dublin
- Full-time
- Analysis skills
- Bachelor's degree
- Organisational skills
17h
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
1d
Director, Product
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- Product management
1d
Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
1d
Forward Deployed Engineer III, Google Cloud Consulting (German, French)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Doctoral degree
- Computer Science
4d
Senior AI Security Engineer (R-19324)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- English
- Microsoft Office
- Annual leave
Quick apply
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Senior Sales Operations Analyst
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Sales
- SQL

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Staff Machine Learning Engineer
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In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs,…
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AI Portfolio Analyst

ICON Plc -
Dublin, County Dublin

Apply Now

Job details

Full-time
17 hours ago

Qualifications

Business analysis
Analysis skills
Bachelor's degree
Business Information Systems
Organisational skills
AI
Business
Communication skills

Full job description

AI Portfolio Analyst

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.

As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.

AI Portfolio Analyst

Dublin, Hybrid

As an AI Portfolio Analyst / Business Analyst at ICON, you will play a key role in supporting the delivery, governance, and optimisation of the Enterprise AI portfolio. You will work at the intersection of business needs, AI capabilities, and delivery execution—ensuring that AI initiatives are aligned to strategic priorities, clearly defined, and effectively managed across their lifecycle.

What You Will Do:

In this role you will be responsible for supporting the planning, analysis, coordination, and ongoing management of AI programmes and initiatives across the Enterprise AI function.

Key Responsibilities :

Partner with stakeholders to gather, define, and document business requirements for AI use cases, products, and platform capabilities
Support the intake, prioritisation, tracking, and administration of AI initiatives within the Enterprise AI portfolio
Maintain portfolio trackers, status reports, and documentation to ensure accurate visibility of progress, risks, and dependencies
Develop and produce regular reporting, dashboards, and updates for governance forums and senior stakeholders
Coordinate cross-functional activities across engineering, product, and governance teams to support timely delivery of AI initiatives
Translate business needs into clear functional and non-functional requirements, user stories, and acceptance criteria
Analyse processes and identify opportunities where AI and automation can deliver measurable value
Support governance processes, including scheduling, preparation, and documentation for steering committees and portfolio review meetings
Track risks, issues, actions, and dependencies across AI programmes, ensuring timely follow-up and resolution
Contribute to continuous improvement of portfolio management, reporting standards, and business analysis practices

Other ad-hoc administrative tasks.

Your Profile:

To succeed in this role, you will bring strong analytical and business analysis experience, along with a structured, detail-oriented approach to coordination, reporting, and portfolio management in a fast-paced AI environment.

Required qualifications and experience:

Bachelor’s degree in Business, Information Systems, Life Sciences, or a related discipline
Proven experience as a Business Analyst, Portfolio Analyst, Project Coordinator, or similar role within technology or data-driven environments
Experience supporting programme or portfolio reporting, tracking, and administrative coordination activities
Strong understanding of project and portfolio management principles and tools
Familiarity with AI/ML concepts and digital transformation initiatives
Excellent analytical skills with the ability to interpret data and produce actionable insights
Strong organisational skills with high attention to detail and ability to manage multiple priorities
Strong communication and stakeholder management skills, with the ability to work across technical and non-technical teams

#LI-JC3

#LI-Hybrid

Employment with ICON is contingent upon having the legal right to work in the country where the role is based.

Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.

Benefits may include:

Competitive base salary and performance related incentives
Health and wellbeing programmes including medical, dental, and vision coverage where applicable
Retirement and pension plans
Life assurance and disability coverage
Employee assistance programmes and wellbeing resources
Learning and development opportunities through structured training and career pathways

Benefits may vary depending on role and location.

Visit our careers site to read more about the benefits ICON offers.

Inclusion and Accessibility

ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.

If you require reasonable accommodations during the recruitment process, please let us know or submit a request .

Are you a current ICON Employee?

Apply Now

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data science_ ml jobs in dublin, d

AI Portfolio Analyst

Staff Machine Learning Engineer

Director, Product

Manager, Architecture & Components

Forward Deployed Engineer III, Google Cloud Consulting (German, French)

Senior AI Security Engineer (R-19324)

Data Engineer

Senior Sales Operations Analyst

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