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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 FASs 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 FASs 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 youre 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 Vanguards 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 Vanguards 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
Vanguard is offering visa sponsorship for this position.About Vanguard
At Vanguard we dont just have a missionwere 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.
Required Experience:
Director
Full-Time