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Meta is seeking an experienced Employee Relations Business Partner in Dublin to handle complex employee relations matters and drive strategic improvements across the organization.
The ideal candidate will have over 12 years of expertise in employee relations and employment law, capable of influencing senior leaders and developing scalable frameworks. The role emphasizes collaboration, effective communication, and integration of AI tools to enhance operations.
The Meta Global Employee Relations team is a trusted partner to the very core of our business, our People. At Meta Global Employee Relations, we redefine the individual experience with empathy and respect. We are truly there in the moments that matter.If you are an experienced EMEA Employee Relations expert with deep experience in coaching, handling complex performance and complaint case work, as well as redundancy processes, and have a passion for driving long-term strategic improvements across a global organisation, then you will thrive in our fast-paced and collaborative environment.
Lead and manage a portfolio of complex, high-stakes employee relations matters including performance cases, investigations, disciplinary actions, and conflict resolution across multiple business units in EMEA
Develop and drive the employee relations strategy and roadmap for highly ambiguous or cross-functional organisational challenges, bringing clarity and structure to undefined problem spaces
Serve as a strategic advisor to HR business partners, legal counsel, and business leaders on employee relations policy interpretation, risk assessment, and resolution approaches
Identify systemic trends in employee relations case data and translate findings into proactive programs, policy improvements, or leadership coaching interventions
Build and maintain influential relationships with key stakeholders across HR, legal, compliance, people operations, and business leadership to align employee relations practices with organisational goals
Develop scalable frameworks, tools, and resources that enable a consistent application of employee relations principles across teams and geographies
Work closely with cross-functional partners for navigating business restructuring, workforce changes, or evolving regulatory environments
Leverage AI-integrated workflows and data analysis to improve efficiency across the employee relations function
Lead with integrity and build internal community, fostering collaboration and mentoring newer members of the ER and HR teams
12+ years of experience in employee relations, employment law, human resources, or a related field
Experience leading high-complexity, cross-functional employee relations programs or initiatives with measurable organisational impact
Experience advising and influencing senior leaders and legal partners on sensitive workplace matters, policy application, and risk mitigation
Experience developing scalable employee relations frameworks, investigation methodologies, or policy governance processes across large or matrixed organisations
Experience identifying systemic workforce trends and translating data into strategic recommendations that inform people programs or organisational decisions
Effective communication and critical thinking skills
Demonstrated experience adapting to evolving organizational priorities and building collaborative relationships across teams
Experience operating in a global or multi-jurisdictional employee relations capacity, navigating varying employment law landscapes across EMEA ideally including experience within UK, Ireland, France and Germany
Demonstrated ability to use data analytics or AI-assisted tools to surface employee relations trends or drive operational efficiency
Experience partnering with labour relations teams or managing work councils and union-related matters in a technology or large-scale enterprise environment
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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