Head of Data Science & Machine Learning, Personal Investor
The Center for Analytics and Insights (CAI) at is an enterprise center of excellence for Artificial Intelligence, Machine Learning, and Advanced Analytics. We are transforming how data, analytics, and AI/ML are used to support strategic decisions and serve Vanguard’s clients.
Role Overview
The Head of Data Science & Machine Learning will lead an agile team of approximately 70 data scientists and engineers within our Personal Investor division, driving analytic innovation and AI/ML solutions. Your mission: enhance client relationships, improve client outcomes, attract new clients, and continuously improve Vanguard's products, services, sales, marketing performance, and operational efficiency.
Key Responsibilities
As the Head of Data Science & Machine Learning, your responsibilities will include:
- Leading and mentoring the data scientist and data engineering staff within CAI.
- Developing and implementing operational plans to achieve CAI objectives in collaboration with senior management.
- Engaging with senior business unit leaders, project sponsors, and stakeholders to identify business priorities and educate them on data science applications.
- Conducting business unit projects focused on investor insights and behaviors.
- Ensuring rigorous controls throughout the data science project lifecycle to minimize risks and comply with governance requirements.
- Building, managing, and developing a high-performing team of data scientists and engineers.
- Driving creative and innovative AI/ML applications to achieve impactful results.
- Guiding business partners on interpreting and utilizing data science results to implement actionable solutions.
- Building deep expertise in Vanguard's data and identifying gaps and corrective actions in collaboration with other teams.
- Building relationships with internal and external stakeholders, including leading universities and data analytics thought leaders.
Qualifications
We are looking for a candidate with:
- 15+ years of experience in advanced analytics functions, with a focus on data science. Experience in the financial services industry is a plus.
- Proven track record in developing and delivering actionable AI/ML products and services.
- Expertise in applied math, statistical techniques, and machine learning methods.
- Strong computer skills, including Python and R, with familiarity with cloud-based, open-source technology platforms.
- Experience in engaging with diverse constituencies to yield powerful insights and actionable plans.
- Exceptional problem-solving skills and demonstrated success in structuring quantitative and qualitative analyses of complex issues.
- Proven ability to motivate, mentor, and develop talent, and build high-performing teams.
- Successful track record in delivering results within large, matrixed, service-oriented organizations.
- Experience in identifying and leveraging emerging technologies and trends to create innovative solutions.
Special Factors
Sponsorship: Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we are changing the way the world invests. Our mission is rooted in investing with purpose, guided by our values of courage, clarity, and care. We aim to make success accessible to everyone by doing the right thing for the people we serve.
Inclusion Statement
Vanguard believes in the power of diversity and inclusion. We are committed to building diverse, inclusive teams that reflect our clients’ uniqueness. By valuing and including each crew member, we enhance our ability to collaborate and innovate, ultimately fulfilling our core purpose.
Our core purpose: To take a stand for all investors, treat them fairly, and give them the best chance for investment success.
How We Work
Vanguard has implemented a hybrid working model to balance flexibility with in-person learning, collaboration, and connection. Our mission-driven culture emphasizes collaboration and innovation to support long-term client outcomes and enrich the employee experience.
Join us at Vanguard and be a part of our mission to transform the future of investing.