Senior Manager, AI Data Readiness & Assurance Tech

EY

Sydney

Hybrid

AUD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Career development
Flexible work arrangements
Comprehensive benefits package
Competitive salary open to negotiation

Job summary

EY is seeking a Senior Manager for Assurance Technology and AI Data Readiness in Sydney. You will align business priorities with technology strategy, governance, and financial oversight to maximise value from technology investments and to deliver AI data readiness engagements for clients.

The role is hybrid, based in EY offices across Oceania, with potential flexible hours. You will lead workshops, shape roadmaps, and drive responsible AI adoption at scale.

Qualifications

  • Experience leading tech transformations and governance across finance, technology and business.
  • Ability to assess technology investments, budgets and cost allocations with strong governance.
  • Knowledge of data governance, AI readiness and emerging tech trends with clear executive communication.

Responsibilities

  • Act as the link between Assurance, Client Technology and Finance to translate priorities into roadmaps and governance outcomes.
  • Provide transparency over technology expenditure, budgets and cost allocations; develop business cases and benefits realization.
  • Lead AI Data Readiness engagements, assess data maturity, and develop prioritised roadmaps for responsible AI adoption.

Skills

Technology leadership
Stakeholder management
Technology investments
Governance
Data governance
AI readiness
Executive communication

Job description

EY is seeking a Senior Manager for Assurance Technology and AI Data Readiness in Sydney. You will align business priorities with technology strategy, governance, and financial oversight to maximise value from technology investments and to deliver AI data readiness engagements for clients.

The role is hybrid, based in EY offices across Oceania, with potential flexible hours. You will lead workshops, shape roadmaps, and drive responsible AI adoption at scale.

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