Finance Transformation Lead (12 Month FTC)

AGL

Melbourne

2 days ago

Melbourne

2 days ago

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Finance Transformation Lead (12 Month FTC)

AGL seeks a Finance Transformation Lead for a 12-month contract in Melbourne to lead finance system transformation from SAP HANA to Databricks. The role requires expertise in finance transformation, data governance, SQL/Python, and stakeholder management. Hybrid work model offered.

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Hybrid

Contract

Senior

SAP HANA

Databricks

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid

Employment Type

Contract

Experience Level

Mid-Senior level

Contract Length

12 months

Core Qualifications

Technical (Must-have)

SAP HANADatabricksSQLPythondata warehousingrelational databasessystem integrationdata governancerisk managementcompliance frameworks

Soft Skills

stakeholder leadershipinfluencingchange adoptioncommunicationproject managementproblem solving

Key Responsibilities

•Lead end-to-end finance transformation from SAP HANA to Databricks.
•Define current and future-state architectures including data flows and controls.
•Provide hands-on leadership across migration activities including testing and cutover.
•Embed data governance, risk management, and auditability controls.
•Drive stakeholder engagement and change adoption.
•Lead design and enhancement of finance data pipelines and models.
•Ensure robust integrations and data quality controls.
•Drive continuous improvement and automation in finance data processes.
•Strengthen organisational capability in modern data platforms.
•Translate complex financial requirements into technology solutions.
•Lead cross-functional working groups and influence senior stakeholders.

Finance TransformationSAP HANADatabricksSQLPythonERP MigrationContractMelbourneUtilitiesHybrid

Key Responsibilities

•Lead end-to-end finance transformation from SAP HANA to Databricks.

•Define current and future-state architectures including data flows and controls.

•Provide hands-on leadership across migration activities including testing and cutover.

•Embed data governance, risk management, and auditability controls.

•Drive stakeholder engagement and change adoption.

•Lead design and enhancement of finance data pipelines and models.

•Ensure robust integrations and data quality controls.

•Drive continuous improvement and automation in finance data processes.

•Strengthen organisational capability in modern data platforms.

•Translate complex financial requirements into technology solutions.

•Lead cross-functional working groups and influence senior stakeholders.