Job description

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.

Requirements

Must-haves

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.
Minimum of eight years related work experience.
Special Factors
Vanguard is not offering visa sponsorship for this position.

Nice-to-haves

Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learning

Platform: workday
Effort: long