Lead Enterprise Data & AI Engineering (Remote)

Talent Army

Auckland

On-site

NZD 180,000 - 260,000

Full time

5 days ago
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Benefits offered by this job

Flexible work from home arrangements

Job summary

Talent Army seeks a seasoned Head of Enterprise Data & AI Engineering to oversee data platforms, enterprise applications and automation initiatives. You will lead delivery of cloud-based data warehouse solutions, set engineering standards and champion AI adoption across the organisation.

You will shape a scalable automation strategy, collaborate with executives and drive data-driven decision making using modern cloud, data and AI technologies. Flexible work arrangements are available.

Qualifications

  • 7+ years’ leadership experience across data, enterprise applications and automation.
  • Expertise in cloud data warehousing (BigQuery, Snowflake or similar).
  • Strong SQL, dimensional modelling and data architecture knowledge.
  • Experience with Power Platform, UiPath or equivalent automation platforms.
  • API, integration, CI/CD, ALM and source control expertise.
  • Knowledge of AI, LLMs, RAG and agent-based solutions.
  • Proven stakeholder, vendor and people leadership experience.

Responsibilities

  • Oversee enterprise data platforms, commercial applications and automation capabilities.
  • Lead delivery of cloud-based data warehouse and establish engineering standards.
  • Drive AI adoption and develop a scalable automation strategy across the business.

Skills

Leadership
Cloud data warehousing
SQL
Data modelling
Automation platforms
API/CI/CD
AI & LLMs
Stakeholder leadership

Tools

Power Platform
UiPath
BigQuery
Snowflake

Job description

Talent Army seeks a seasoned Head of Enterprise Data & AI Engineering to oversee data platforms, enterprise applications and automation initiatives. You will lead delivery of cloud-based data warehouse solutions, set engineering standards and champion AI adoption across the organisation.

You will shape a scalable automation strategy, collaborate with executives and drive data-driven decision making using modern cloud, data and AI technologies. Flexible work arrangements are available.

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