In this role you will be responsible for leading sponsor assurance activities, maintaining audit readiness, and ensuring the delivery of trusted, compliant AI solutions.
Serve as the primary assurance contact for sponsors and clients, representing Enterprise AI in meetings, governance forums, and audit engagements
Present assurance updates including risk posture, validation evidence, compliance status, and quality metrics in a clear, professional manner
Respond to sponsor queries on AI governance, data protection, model validation, and regulatory compliance
Develop and maintain a comprehensive assurance framework and evidence repository for AI products and platforms
Prepare sponsor-facing assurance packs, dashboards, and reports aligned to contractual and regulatory requirements
Coordinate cross-functional teams (engineering, QA, compliance, legal) to ensure evidence is complete, accurate, and audit-ready
Manage sponsor assurance reviews, due diligence sessions, and external audits end-to-end
Communicate risks, incidents, and changes transparently with sponsors, including mitigation and corrective actions
Drive continuous improvement in assurance practices, governance maturity, and audit readiness across the AI portfolio
Your Profile:
To succeed in this role, you will bring strong experience in assurance, compliance, and client-facing delivery within regulated environments, alongside the ability to represent complex AI systems with confidence and credibility.
Required qualifications and experience:
Bachelor's degree in Computer Science, Life Sciences, Engineering, or a related discipline
Significant experience (5+ years) in assurance, quality, compliance, or client-facing roles within technology or regulated industries
Proven experience engaging directly with external sponsors, clients, or regulators
Strong knowledge of regulatory frameworks (e.g. GDPR, EU AI Act, GxP, 21 CFR Part 11)
Experience managing audits, inspections, or sponsor due diligence activities
Technical understanding of AI/ML systems and software development practices
Strong communication and stakeholder management skills, with the ability to engage senior stakeholders
Ability to manage multiple assurance workstreams and priorities in a fast-paced, complex environment
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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 here .
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Benefits
Health insuranceDental insuranceVision insuranceRemote work options
Additional Information
Sponsor Assurance Lead
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.
Sponsor Assurance Lead
Dublin, Hybrid
As a Sponsor Assurance Lead - at ICON, you will act as the primary interface between our new Enterprise AI function and sponsors and clients, ensuring confidence, transparency, and trust in the AI products and services we deliver. You will represent ICON in external forums, demonstrating the rigour, governance, and quality behind our AI capabilities in regulated environments.