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Manager, Forward Deployed Engineering

Leads a team of Forward Deployed and AI Engineers delivering enterprise data migrations, modernisation, and AI/GenAI programs across strategic ANZ accounts. Requires substantial people leadership, technical architecture or data/AI engineering experience, and executive stakeholder management.

About the job

Responsibilities

  • Drive regional performance targets, including billable utilisation, team growth, and hiring, while championing delivery excellence and customer success across the ANZ FDE portfolio.
  • Lead high-stakes enterprise engagements with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational professional services programs spanning data migrations, AI/ML platforms, and advanced analytics.
  • Establish delivery governance, project oversight, risk management, and quality standards for a growing RSA and AI Engineering practice.
  • Serve as the executive escalation point for critical customer situations, using technical credibility and leadership judgment to protect strategic relationships and drive resolution.
  • Develop and retain technical talent through career pathways, technical coaching, and a culture of innovation and continuous growth.

Requirements

  • 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations.
  • 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer.
  • Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments.
  • Strong executive presence and stakeholder management skills, including C-suite-level influence.
  • Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, or the modern data and AI ecosystem.

Benefits

  • Comprehensive benefits and perks tailored to employees' regional needs.

Skills

Databricks, Spark, MLflow, Delta Lake, Data Migrations, Artificial Intelligence, Machine Learning, MLOps, Generative AI, AI Agents, Advanced Analytics, Stakeholder Management

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