Senior Delivery Lead, AI

About Us
Automic Group brings together modern purpose-built technology with a dynamic and experienced team to tailor solutions for companies and funds to understand, engage and manage their investors.We provide a cloud-native single registry, employee share plan and board management platform, and professional services including company secretarial, ESG, accounting and finance, and investor and media relations.

Today, over 1,400 ASX listed and unlisted clients trust Automic's 250 employees to manage their registry, investor and board requirements - and Automic is ranked number one on the ASX by number of companies serviced, with 750 listed clients.In the past two financial years, Automic has won 50%of IPOs and 70% of listed companies who have switched registries.

Our culture is innately entrepreneurial, comprising people who thrive in an atmosphere where ideas, actions and initiative are encouraged. Our core values, Customer Success, Ambition, Equality and Team are at the foundation of who we are and how we operate.

Job Description

The Senior Delivery Lead - AI is responsible for coordinating the end-to-end delivery of AI, data and agent-enabled initiatives across Automic's product and technology pipeline.

Working across Product, Engineering, AI, Data, Security, Risk and business teams, you will guide initiatives from discovery and experimentation through to production, adoption and continuous improvement. You will bring structure to complex and evolving work while balancing experimentation with delivery discipline, responsible AI practices and operational readiness.

This role suits an experienced technology delivery leader who is comfortable navigating ambiguity, aligning technical teams and senior stakeholders, and turning promising AI concepts into secure, scalable and production-ready solutions.

This hybrid opportunity is open to candidates in Sydney, Melbourne or Brisbane.

Key Responsibilities include:

• Lead the end-to-end delivery of AI, data and agent-enabled initiatives from discovery and experimentation through to production and continuous improvement.
• Coordinate cross-functional teams across Product, Engineering, AI, Data, Security, Risk, Operations and the broader business.
• Manage scope, priorities, delivery timelines, dependencies, risks, resources and stakeholder communication.
• Establish clear success measures and evidence requirements for progressing AI capabilities from experiment to pilot and production.
• Coordinate AI evaluation, security, privacy, responsible AI, human oversight and operational-readiness activities.
• Build collaborative, accountable teams while maintaining delivery discipline, quality and a focus on completed outcomes.
• Support business adoption and benefits realisation by integrating AI capabilities into operational workflows and change activities.

Desired Skills and Experience Desired Skills and Experience

To be successful in this role, you will have:

• Substantial experience leading complex technology delivery across multiple teams and stakeholders in agile environments.
• Demonstrated experience delivering AI, machine learning, generative AI, agentic AI, data-intensive or intelligent automation solutions.
• Strong program, project and agile delivery-management capability, including planning, prioritisation, forecasting and risk management.
• Experience coordinating cross-functional teams across Product, Engineering, AI, Data, Security, Risk and business functions.
• Strong stakeholder-management and communication skills, with the confidence to constructively challenge and influence senior leaders.
• Sound knowledge of AI and software delivery lifecycles, cloud platforms, data management, integrations and enterprise systems.
• An understanding of AI delivery risks, including data readiness, evaluation, privacy, responsible AI, human oversight and production monitoring.

Qualifications

• A relevant tertiary qualification in Information Technology, Business, Engineering or a related discipline, or equivalent practical experience.
• Experience in financial services, enterprise technology, SaaS or another regulated industry will be highly regarded.
• Previous experience in software development, business analysis, data, AI or a related technical discipline will be advantageous.

You'll be part of a team whereoperational excellence, collaboration, and continuous improvementare genuinely valued. This is an opportunity to deepen your expertise, contribute to meaningful outcomes, and grow your career within a high-performing, purpose-led fintech environment.

Key Benefits include:

• Professional career growth & development