Manager, Data Science

Vanguard; Charlotte (NC); Hybrid; USD 120,000 - 210,000; Full time

Job summary

Vanguard is seeking a senior data science leader to manage a team responsible for diagnostic, predictive, and prescriptive analytics across Generative AI initiatives within the FAS division. You will guide design, validation, and stakeholder engagement to drive strategic decisions using large-scale data.

The role requires 5+ years in data science/AI, expertise in ML, NLP, DL, and Generative solutions, plus strong leadership and data governance capabilities.

Qualifications

• Minimum of 5+ years related work experience in Data Science or AI/ML Engineering roles.
• Experience in supervised & unsupervised learning, statistics, deep learning, NLP, Generative and Agentic Solutions.
• Good understanding of LLM Evaluation Framework, Prompt Optimization, Context Engineering and RAG Architectures.
• Programming skills to access, transform and prepare large scale data for ML modeling.
• Experience in creating explainable ML solutions and attribution methodologies.
• Undergraduate degree in Engineering, Analytics, Applied Mathematics, Economics, Statistics or related field; graduate degree preferred.

Responsibilities

• Oversee diagnostic, predictive, and prescriptive analytics to support data-driven decisions in AI projects.
• Lead a team of data scientists across a portfolio of analytics initiatives and strategy evolution.
• Identify data inconsistencies, document assumptions, and fill data gaps.
• Engage with stakeholders to translate business needs into analytic approaches.
• Guide test design, study design, and model validation; provide statistical consultation.
• Deliver insights and actionable recommendations to senior leadership.
• Collaborate with heads of departments to plan and execute near-term goals.
• Contribute to growth of Vanguard's analytics community and methods.
• Design data mining architectures and analytics protocols for large datasets.
• Research cutting-edge analytics methodologies to sustain competitive advantage.
• Hire, evaluate, and coach team members; set performance standards.

Skills

5+ years experience

Supervised learning

Unsupervised learning

NLP

Deep learning

Generative/Agentic AI

LLM evaluation

Prompt optimization

Context engineering

Data wrangling

Education

Bachelor's degree in Engineering/Analytics/APM/Statistics/Economics

Graduate degree preferred

Job description

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 Generative AI Projects for FAS Division. Supports the continuous evolution and strategy of Vanguard’s data science capabilities. It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as Marketing, Sales & Digital.

Core Responsibilities

• Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making in Traditional AI & GenAI 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 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.
• Identifiesand diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
• Engages with internal stakeholders to understand and probe business processestodevelop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
• Guidestest 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 departmentobjectives. 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.
• Participates in special projects and performs other duties as assigned.
• Designs and refines data mining architectures, analytical protocols, and statistical reporting methods toidentifyactionable trends in large and complex datasets.
• Conducts research to evaluatecutting-edgeanalytics methodologies, aiming to enhance organizational capabilities andmaintaincompetitive advantage
• Hires, evaluates, and supervises crew.Provides guidance and training as necessary to develop crew.Sets performance standards, reviews performance, and makes informed compensation decisionsin accordance withall applicable Human Resources policies and procedures.

Qualifications

• Minimum of 5+ years related work experience in Data Science or AI/ML Engineering roles.
• Expertise in Supervised & Unsupervised Learning, Statistics, Deep Learning, NLP, Generative and Agentic Solutions.
• Good understanding of LLM Evaluation Framework, Prompt Optimization, Context Engineering and RAG Architectures.
• Programming skills to access,transformand prepare large scale data for machine learning modeling.
• Experienceutilizingstatistical and machine learning methods.
• Experience in creating explainable ML solutions and Attribution methodologies.
• Undergraduate degree in Engineering, Analytics, Applied Mathematics, Economics, Statistics or related field of study or equivalent combination of training and experience.
• Graduate degree preferred.

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.