Data & AI Operations Lead

Genesis Energy NZ

Auckland

Hybrid

NZD 140,000 - 190,000

Full time

6 days ago
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Benefits offered by this job

Southern Cross medical insurance
Life, trauma and income protection ins
Electricity and gas discounts
KiwiSaver employer match
Flexible working options
Wellbeing allowance
Best Doctors access
Career development opportunities

Job summary

Genesis Energy NZ is seeking an experienced Data Operations Manager to lead our enterprise data and AI platforms. You will drive reliability, performance and platform roadmaps while guiding technical teams and strategic partners.

You’ll champion governance, incident handling and ITIL-aligned operations, translating business needs into clear priorities and investments across Databricks and Power BI ecosystems.

Qualifications

  • Proven leadership of data/AI platforms and teams.
  • Strong governance, incident management and ITIL familiarity.
  • Ability to translate business needs into platform priorities.

Responsibilities

  • Lead operation and continuous improvement of enterprise data and AI platforms.
  • Ensure reliability, availability and performance across Databricks and Power BI.
  • Define and deliver platform roadmaps for modernisation and scalability.
  • Lead service governance and incident management aligned with ITIL.
  • Build and develop high-performing technical teams and partnerships.
  • Translate stakeholder needs into operational priorities and investments.

Skills

Leadership experience
Data/AI operations
Stakeholder management
Vendor management
Communication

Tools

Databricks
Power BI
Azure data technologies

Job description

Genesis Energy NZ is seeking an experienced Data Operations Manager to lead our enterprise data and AI platforms. You will drive reliability, performance and platform roadmaps while guiding technical teams and strategic partners.

You’ll champion governance, incident handling and ITIL-aligned operations, translating business needs into clear priorities and investments across Databricks and Power BI ecosystems.

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