We are looking for a strategic, hands-on, and data-driven TA Operations & Automatisation Lead to design, build, and scale an enterprise-grade recruitment technology ecosystem. In this role, you will transform our Talent Acquisition function into a high-velocity, precision-focused engine by streamlining workflows, driving AI and low-code automations, ensuring strict regulatory compliance, and delivering actionable analytics to key business stakeholders.

Responsibilities

• Direct, lead, and oversee the TA Ops team (ATS Admin, Automation & AI Specialist, Operations Specialist, Talent Analytics Specialist), setting clear performance standards, KPIs, and daily execution priorities.
• Define the long-term architecture and 12-month tech stack roadmap, prioritizing technical initiatives for ATS optimization, API integrations, and low-code/no-code automated workflows.
• Lead the development of end-to-end recruitment analytics, guiding the team to build C-level dashboards (Tableau/Power BI/Looker) and converting data into strategic business insights.
• Ensure maximum data integrity (99%) across all talent systems and verify that automation projects deliver measurable time savings (FTE-hours saved).
• Establish and control compliance governance across international hiring hubs (FCA, CySEC, ASIC), taking full ownership of regulatory risk escalation, process auditing, and audit readiness.
• Streamline recruiter onboarding and standard operating procedures (SOPs), auditing process adoption to maintain a high compliance rate (95%).
• Serve as the primary liaison representing TA Operations across cross-functional partnerships with the Head of Global TA, Head of People Data & Transformation, Legal, Compliance, and IT.
• Drive continuous team development, mentorship, and growth through regular 1-on-1s, performance evaluations, and structured learning plans.

Requirements

• At least 3–5 years of experience in TA Operations, HR Tech, or Recruitment Analytics within an international environment, including 2+ years in a leadership role (Lead or Manager).
• Proven track record of directly managing multi-disciplinary teams across analytics, system administration, and automation.
• Deep expertise in Enterprise ATS/CRM architecture (Greenhouse, Workday, SmartRecruiters) and experience setting up API, webhook, and system integrations.
• Practical experience in selecting, piloting, and implementing AI recruitment technologies (e.g., AI screening, automated sourcing, predictive analytics).
• Strong background in recruitment analytics, funnel metrics, and data visualization tools (Tableau, Power BI, Looker).
• Upper-Intermediate (or higher) level of English for effective cross-functional and global stakeholder management.
• Strong leadership skills with proficiency in Agile/Kanban methodologies and resource allocation.
• Experience with process engineering frameworks (BPMN, Value Stream Mapping) is a strong plus.