Manager, Data Science

About the role

This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making in conversational AI projects. It supports the continuous evolution and strategy of Vanguard's data science capabilities and applies advanced data science techniques to uncover trends from large datasets, informing strategic decisions across diverse business areas such as marketing, supply chain, and economic research.

Responsibilities

• Oversees and engages in deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making in conversational AI projects.
• Creates alternative model approaches to assess complex model design and advance future capabilities.
• Manages a team of data scientists responsible for a portfolio of analytics projects.
• Supports the continuous evolution and strategy of Vanguard's data science capabilities.
• Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
• Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses.
• Brings structure to requests and translates requirements into an analytic approach.
• Guides test design, research design, and model validation.
• Provides statistical consultation services.
• Serves as the analytics expert on cross-functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
• Executes operational plans to achieve department objectives.
• Collaborates with department or functional heads in planning, developing, and executing near-term goals.
• Prepares, reviews, and delivers insight presentations and action recommendations.
• Communicates complex analytical findings and implications to business leaders.
• Designs and refines data mining architectures, analytical protocols, and statistical reporting methods to identify actionable trends in large and complex datasets.
• Applies advanced data science principles and emerging technologies to develop models that inform strategic decisions across functions such as marketing, supply chain, and economic forecasting.
• Conducts research to evaluate cutting-edge analytics methodologies, aiming to enhance organizational capabilities and maintain competitive advantage.
• Hires, evaluates, and supervises team members, providing guidance and training as necessary to develop them.
• Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
• Participates in special projects and performs other duties as assigned.

Requirements

• Minimum of five or more years of related work experience in data science roles.
• Expertise in NLP, generative, and agentic solutions.
• Deep understanding of transformer architectures and experience in improving the performance of agents.
• Programming skills to access, transform, and prepare large-scale data for machine learning modeling.
• Experience utilizing statistical and machine learning methods.
• Experience in creating explainable ML solutions and attribution methodologies.
• Undergraduate degree in Engineering, Analytics, Applied Mathematics, Economics, Statistics, or a related field of study, or equivalent combination of training and experience.
• Graduate degree preferred.

Special Factors

Vanguard is 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. We lead through products and services that transform our clients' lives. We focus on learning and developing 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 team 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.