Head of Data Science, Financial Advisor Services

Role Overview:
We are actively seeking a seasoned leader whose expertise spans the intersection of proven AI solutions development and strategic people leadership to join us as the Head of Data Science, FAS. In this role, you will lead a team of experienced, high-performing data and decision scientists within the CDAO. In this high-visibility, influential role, you will oversee the development and deployment of in-house, cutting-edge AI products, solutions, and systems for FAS’s clients and internal crew. 
 
The ideal candidate is a seasoned technical leader with demonstrable experience engaging stakeholders, informing AI strategy and development, and influencing prioritization across senior leaders. As such, strong communication skills coupled with deep, practical AI knowledge and acumen are essential ingredients for success.  In addition, you will oversee and augment FAS’s broad portfolio of AI initiatives and products, which include Generative AI, Agentic AI, Natural Language Processing/Generation, Propensity Modeling, and AI-based Hyper-Segmentation/Personalization to name a few. If you’re energized by work which combines the building of effective, value-enhancing AI solutions and experimenting with capabilities which test the limits of current ML technology and techniques, all while leading a group of talented crew with limitless curiosity and expansive AI bona fides, we want to hear from you.

Responsibilities:

• Assists and executes tactical plans to implement Vanguard's data science strategy to increase internal company performance and gain competitive advantage.

• Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities.

• Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities.

• Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. Provides coaching to data scientists.

• Oversees the execution of large scale analytics projects. Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects.

• 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.

• Leads and coaches 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.

• Evaluates new technologies and manages vendors engaged in big data analysis.

Qualifications:

• Minimum of ten years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.

• Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred.

Nice to Have:

• Experience with Generative AI and Agentic AI Systems. Should have some familiarity.

Special Factors

Sponsorship

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.