Summary
The Model Development team is responsible for delivering and maintaining cloud-based platforms that support traditional model development and emerging AI/ML capabilities across critical systems. This includes ownership of AWS SageMaker, exploration and enablement of Small Language Model (SLM) development, and continued evolution of internally developed capabilities such as the Enhanced Learning and Support Agent (ELSA), designed to scale AI platforms and reduce support costs.
This role serves as the IT Delivery Manager for the team and is accountable for driving the continued development, delivery, and adoption of these capabilities. As a shared service supporting multiple lines of business, this leader will ensure delivery is well-planned, transparent, and predictable, while fostering strong collaboration across engineering, product, and business stakeholders.
Responsibilities
Lead and develop a team of engineers and contractors (onshore and offshore), providing coaching, performance management, and career development
Own delivery of technology initiatives, ensuring work is clearly defined, planned, and executed against established timelines
Translate business and technology priorities into actionable delivery plans, including scope, dependencies, risks, and resource needs
Maintain delivery discipline through structured planning, tracking, and reporting (e.g., JIRA or similar tools)
Provide clear updates to stakeholders and leadership on delivery progress, timelines, and risks
Partner with business, product, and technology teams to align on priorities and ensure successful execution
Identify and address risks, blockers, and dependencies, driving continuous improvement in delivery processes
Monitor delivery performance and ensure alignment with organizational goals
Support operational planning, including staffing, resourcing, and budget considerations
Ensure adherence to technology, risk, and security standards
Qualifications
8+ years of experience in IT delivery, engineering management, or program delivery roles
Proven people management experience leading engineering or technical teams (required)
Demonstrated ownership of end-to-end delivery outcomes (not just coordination or facilitation)
Strong experience with:
Delivery planning and forecasting
Managing timelines, dependencies, and risks
Communicating delivery status to senior leadership
Experience working with Agile delivery teams and tools (e.g., JIRA)
Excellent leadership, communication, and stakeholder management skills
Familiarity with AI/ML platforms (e.g., SageMaker or similar)
Preferred Qualifications
Experience delivering solutions on cloud platforms (primarily AWS; Azure exposure a plus)
Technical background in software engineering or related field (helpful but not required to be hands-on)
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.