Job Description

General information

Name
Data & Reporting – Talent Acquisition
Ref #
60275
Date
Wednesday, April 8, 2026
Full / Part Time
Full Time

Description & Requirements

Assignment Location:
Sydney / Melbourne / Brisbane / Hybrid

Assignment Duration:
3 months

Working Hours To be agreed with the hiring team.

Terms For colleagues based outside APAC, time in the host country is expected to be up to 6 weeks during the assignment.

About the assignment

We’re investing in data, analytics and AI to strengthen how we attract, engage and hire talent, so we can build a sustainable workforce that enables people to live longer, healthier, happier lives and helps create a better world.

This assignment will sit within the Talent Acquisition function and will focus on establishing a consistent, value‑led approach to recruitment data and reporting. The project will bring clarity and discipline to what we report, to whom, when, and why; moving us beyond reporting activity to generating insight that drives decision‑making. While initially focused on Australia, the ambition is to design globally scalable standards, formats and principles that can be applied across markets.

The work will form part of a broader evolution of our TA capability, including the introduction of new data sets generated through our AI‑enabled recruitment technology (Sapia). You’ll lead a focused, stand‑alone project shaped around this opportunity, defining how traditional TA metrics and new AI insights come together to tell a clear, trusted and consistent story for leaders.

From day one, you’ll work closely with Talent Acquisition leaders, Workforce Planning, Digital Solution & Technology team and global stakeholders, embedding yourself in how we use data to inform strategy, improve candidate and hiring manager experience, and deliver fairer, more efficient hiring outcomes

Key responsibilities and deliverables

·A clearly defined and agreed TA reporting framework (what, when, who, and how) aligned to business and people priorities

·Integration of AI‑driven recruitment insights into core TA reporting and decision forums

·Clear, actionable insights that leaders can use to drive workforce outcomes

·A repeatable and sustainable approach to TA data governance and storytelling that endures beyond the assignment

·Standardised reporting principles and formats that are scalable across geographies

What we’re looking for

Essential

·Strong experience working with people, talent or workforce data, with the ability to translate complex information into clear, actionable insights for leaders.

·Demonstrated capability in data analysis and reporting, including defining what should be reported, to whom, when, and why, with a focus on consistency and standardisation.

·Proven ability to work across functions and geographies to align on common definitions, metrics and reporting standards.

·Strong communication and storytelling skills, with the ability to simplify complex data for non‑technical audiences.

·Experience establishing or improving data governance, reporting frameworks or operating rhythms across teams or markets.

Desirable

·Experience working with talent acquisition or recruitment data, including candidate pipelines, hiring outcomes or workforce trends.

·Exposure to AI‑enabled recruitment or people solutions, and an interest in how emerging data sources can improve fairness, efficiency and experience.

We value clarity, curiosity and collaboration. We aim to keep language simple and accessible and welcome people who can build trust in data by explaining insights in a clear, human way.

Other important or useful information

·Where you’ll work: The assignment will be a mix of virtual and in country with the core location is Australia in Sydney, Melbourne or Brisbane as AUS data systems from abroad isn’t typically possible due to IT restrictions.

·Time in the AUS (if applicable): Up to 6 weeks across the assignment; there are no specific key dates that must be in‑country.

·A buddy will be arranged to support you as you settle in.

Location
Melbourne Office (33X)
Recruiter
Robert Kulevski