Senior Data Governance Lead — 12‑Month Contract (Hybrid)

Relatbl Recruiting

Melbourne

Hybrid

AUD 96.000 - 124.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Competitive remuneration
Engagement options
Opportunities across sectors
Wellbeing support via EAP

Zusammenfassung

relatbl is seeking a data governance specialist to support a program by analysing high-value datasets and applying governance and quality rules to AI-ready data. You will deliver practical quality improvements that reduce risk and enhance analytics capabilities for decision-making.

The role requires strong analytical and communication skills, experience with data governance, and the ability to work flexibly in a hybrid arrangement across government, private and not-for-profit sectors.

Qualifikationen

  • Demonstrated experience in data governance, data integrity and data quality assurance.
  • Strong analytical skills to interpret complex datasets.
  • Excellent written and verbal communication tailored to stakeholders.
  • Ability to manage competing priorities and work independently or in a team.
  • Experience with Centrelink/Medicare data or relevant legislative frameworks desirable.

Aufgaben

  • Analyse high-value datasets and apply governance rules for AI-ready data.
  • Gather business requirements and translate into data quality solutions.
  • Maintain and implement data quality rules on the platform.
  • Coordinate documentation, reporting and testing activities.
  • Build stakeholder relationships with data stewards, SMEs and technical teams.

Kenntnisse

Data governance
Data integrity
Data quality assurance
Analytical skills
Communication
Prioritisation
Centrelink/Medicare data experience

Jobbeschreibung

relatbl is seeking a data governance specialist to support a program by analysing high-value datasets and applying governance and quality rules to AI-ready data. You will deliver practical quality improvements that reduce risk and enhance analytics capabilities for decision-making.

The role requires strong analytical and communication skills, experience with data governance, and the ability to work flexibly in a hybrid arrangement across government, private and not-for-profit sectors.

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