Global Head – HR Data Analytics
About the organisation
Our client is a global leader in Testing, Inspection and Certification, with more than 80,000 employees across about 140 countries.
As part of its group-wide transformation strategy, it is building its first Global HR Shared Services organisation, with Noida as its largest hub. The India centre will grow to 150–250 people over the next year and will serve countries across APAC, the Middle East, Africa, the Americas and Europe.
About the role
This is a founding leadership role and a global process owner position. You will build the HR analytics capability for the shared services organisation from the ground up, turning data from dozens of countries into insights that leaders across the business can act on.
You will lead a small, high-impact team and work closely with the heads of Payroll, HR Operations, Recruitment Operations and Continuous Improvement.
Key responsibilities
- Define and deliver the global HR analytics strategy, roadmap and reporting standards for the shared services organisation.
- Build dashboards and insight products on workforce, operations and service performance (SLAs, KPIs, turnaround times) for global and regional leadership.
- Bring data from many countries and systems into a consistent, reliable reporting model.
- Apply advanced analytics and predictive modelling to workforce questions such as attrition, productivity and capacity.
- Support the move to AI- and automation-enabled HR services with data and measurement.
- Partner with regional HR leaders and senior stakeholders across time zones, presenting insights clearly to executive audiences.
- Set up data quality, governance and controls for HR reporting.
What we're looking for
- Essential: a strong HR or people analytics background.
- Data science exposure: statistics, predictive modelling, Python or R.
- Expert-level Power BI, and hands-on experience with Kronos/UKG or similar workforce management systems.
- Experience supporting multiple countries and regions in a global or GCC/shared services environment.
- Excellent stakeholder management and communication with senior leaders.
Good to have
- SAP SuccessFactors or Workday data experience.
- Experience setting up an analytics function.