Vanguard

Manager, Data Science

United States · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerVanguard
LocationUnited States
Work styleWork style not stated
Employment typeFull time
Employer posted30 Sep 2026

The Manager, Data Science leads a team of data scientists delivering diagnostic, predictive, and prescriptive analytics solutions that drive data-informed decision making across the FAS Division. This role oversees a portfolio of Traditional AI and Generative AI initiatives, applying advanced analytics, machine learning, and large language model (LLM) technologies to solve complex business challenges.

The role is responsible for advancing Vanguard's data science strategy and capabilities by leveraging large and complex datasets to uncover actionable insights, improve business outcomes, and support strategic initiatives across functions such as Marketing, Sales, Digital, and Client Experience.

Core Responsibilities

Lead and manage a team of data scientists delivering a portfolio of AI, machine learning, and Generative AI solutions that support business objectives and strategic decision making.
Oversee the development and deployment of diagnostic, predictive, and prescriptive analytics models, evaluating alternative approaches to address complex business problems and expand organizational capabilities.
Partner with business stakeholders to understand objectives, challenge assumptions, formulate hypotheses, and translate business needs into scalable analytical solutions.
Ensure data quality and integrity by identifying inconsistencies, validating assumptions, and addressing data gaps across analytics initiatives.
Provide technical leadership in experimental design, statistical analysis, model validation, and AI/ML best practices.
Serve as a trusted analytics advisor on cross-functional initiatives, influencing strategy and promoting adoption of advanced analytics and AI capabilities across the organization.
Design and evolve data science frameworks, analytical methodologies, and data mining approaches to identify meaningful trends and business opportunities within large-scale datasets.
Evaluate emerging analytics, machine learning, and Generative AI technologies to enhance organizational capabilities and maintain a competitive advantage.
Communicate complex findings, business implications, and actionable recommendations to senior leaders and stakeholders.
Execute departmental priorities and operational plans while collaborating with leaders to achieve near-term and long-term business objectives.
Hire, develop, coach, and lead a high-performing team. Establish performance expectations, provide ongoing feedback, support career development, and make compensation decisions in alignment with Human Resources policies and practices.
Participate in special projects and other responsibilities as assigned.

Show full description

Required Qualifications

5+ years of experience in Data Science, Machine Learning Engineering, AI Engineering, or related technical disciplines.
Demonstrated expertise in supervised and unsupervised learning, statistical modeling, deep learning, natural language processing (NLP), Generative AI, and agent-based AI solutions.
Strong understanding of LLM evaluation frameworks, prompt engineering and optimization, context engineering, and Retrieval-Augmented Generation (RAG) architectures.
Proficiency in programming and data engineering techniques used to access, transform, and prepare large-scale datasets for machine learning applications.
Experience developing and deploying statistical, machine learning, and AI-based solutions in production environments.
Experience building explainable AI/ML solutions and applying model interpretability and attribution methodologies.
Bachelor's degree in Engineering, Analytics, Applied Mathematics, Statistics, Economics, Computer Science, or a related field, or an equivalent combination of education and 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.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.