Core Responsibilities • Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures. • Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams. • Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams, driving solutions from concept through production while ensuring alignment to business objectives and enterprise standards. • Establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives. • Oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions. • Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities. • Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment. • Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems. • Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements. • Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions. • Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals. • Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms. • Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders. • Participates in special projects and performs other duties as assigned. Qualifications • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred. • Minimum of eight years related work experience. 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.