Data Engineering·Confirmed live in the last 24 hours·
Full-timeNo salary listed
About the Job
Requirements
At least 3 years of management experience, including team leadership and cross-functional project coordination.
Strong background in human resources and a good understanding of human resources processes.
Experience integrating data from human resources information systems, applicant tracking systems, payroll, and learning management systems.
Strong experience with People Analytics and business intelligence tools such as Power BI, Tableau, or Looker.
Experience with statistical and predictive modeling using Python or R.
Experience with system integrations, application programming interfaces, webhooks, automation tools, and artificial intelligence or Copilot solutions.
Experience with workforce planning, headcount forecasting, and skills gap analysis.
Expertise in Lean/Six Sigma methodologies, process mapping, responsibility assignment matrix design, and establishing audit-ready standard operating procedures before system automation.
A strong commercial mindset to translate complex data and technology initiatives into return-on-investment-driven business cases, with understanding of profit-and-loss impacts and organizational-design metrics.
Upper-intermediate level of English.
Responsibilities
Build and maintain a global People Data Warehouse that consolidates human resources data from different systems.
Own the human resources technology roadmap, integrating artificial intelligence tools, Copilots, and low-code automations to eliminate manual processes and maximize software return on investment.
Build executive dashboards and predictive models to drive data-backed strategic decisions.
Design multi-year workforce capacity and headcount forecasting models.
Improve and standardize human resources processes across teams.
Manage the department budget, lead vendor selection and procurement, and negotiate optimal global contracts and service-level agreements.
Desired Qualifications
Knowledge of international data protection requirements, role-based access control, data categorization, and auditing of sensitive human resources data.
Responsibilities
Build and maintain a global People Data Warehouse that brings HR data from different systems into one place
Own HR Tech roadmap, integrating AI tools, Copilots, and low-code automations to eliminate manual processes and maximize software ROI
Build executive dashboards and predictive models to drive data-backed strategic decisions
Design multi-year workforce capacity and headcount forecasting models
Improve and standardize HR processes across teams
Manage the department budget, lead vendor vendor selection and procurement, and negotiate optimal global contracts and SLAs
Requirements
3+ years of management experience, including team leadership and cross-functional project coordination
Strong background in HR with a good understanding of HR processes
Experience integrating data from HRIS, ATS, payroll, and LMS systems
Strong experience in People Analytics and BI tools such as Power BI, Tableau, or Looker
Experience with statistical and predictive modeling using Python or R
Experience working with system integrations, APIs, webhooks, automation tools, and AI/Copilot solutions
Experience with workforce planning, headcount forecasting, skills gap analysis
Expertise in Lean/Six Sigma methodologies, process mapping, RACI matrix design, and establishing audit-ready Standard Operating Procedures (SOPs) before system automation
Strong commercial mindset to translate complex data and tech initiatives into ROI-driven business cases, understanding P&L impacts, org-design metrics
Upper-Intermediate level of English
Will be a plus
Knowledge of international data protection requirements, RBAC, data categorization, and auditing of sensitive HR data
We offer
20 paid vacation days per year
10 paid sick leave days per year
Public holidays as per the company’s approved Public holiday list
Medical insurance
Opportunity to work remotely
Professional education budget
Language learning budget
Wellness budget (gym membership, sports gear and related expenses)