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Manager, Data Science

ExperiencedNo visa sponsorship
Vanguard logo

at Vanguard

Asset Management

Posted 3 days ago

No clicks

**Manager, Data Science** at Vanguard's Center for AI and Insights leads and mentors a team developing AI/ML solutions for Vanguard Workplace Solutions. Key responsibilities include owning complex data science initiatives, driving measurable business outcomes, communicating insights to non-technical stakeholders, and growing the team. Minimum five years' experience in data science, proficiency in Python, machine learning frameworks, and cloud platforms (AWS) required. MS/Ph.D. in quantitative field, proven alignment of AI/ML with business objectives, and strong collaboration skills.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Full Job Description

Vanguard is one of the world's largest and most respected investment management companies, known for its client-centric approach, low-cost investment products, and commitment to long-term, data-driven investment strategies. Our Center for AI and Insights (CAI) team is advancing AI innovation and building AI driven products for our business lines. In this role, you will lead, mentor and grow a team of data scientists responsible for a portfolio of data science and AI capabilities empowering frontline crew in Vanguard Workplace Solutions Division. You will also drive hands-on technical work while developing others and partnering with cross functional teams. If you are a strategic problem solver who thrives in both building and coaching, we invite you to apply for this exciting opportunity.

Responsibilities:

  • Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
  • Owns complex data science initiatives to support data-driven business decision making. Design and deploy scalable AI/ML solutions that solve real business problems and drive measurable outcomes.
  • Partners with product, engineering and business stakeholders to translate needs into elegant, data-driven solutions and ensure delivery alignment while holding the bar of quality and impact.
  • Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Supports the continuous evolution and strategy of Vanguard's data science capabilities. Participates in special projects and performs other duties as assigned.

Qualifications:

  • Minimum of five years of related work experience in data science or analytical roles. Experience utilizing statistical and machine learning methods required.
  • Advanced Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and their AI services and tools.
  • Proven ability to align AI/ML solutions with business objectives and communicate technical concepts to non-technical stakeholders. Excellent collaboration skills with cross-functional teams.
  • MS/Ph.D. degree in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or a related field.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a missionwe'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.

Manager, Data Science

Compensation

Not specified

City: Not specified

Country: United States

Vanguard logo
Asset Management

3 days ago

No clicks

at Vanguard

ExperiencedNo visa sponsorship

**Manager, Data Science** at Vanguard's Center for AI and Insights leads and mentors a team developing AI/ML solutions for Vanguard Workplace Solutions. Key responsibilities include owning complex data science initiatives, driving measurable business outcomes, communicating insights to non-technical stakeholders, and growing the team. Minimum five years' experience in data science, proficiency in Python, machine learning frameworks, and cloud platforms (AWS) required. MS/Ph.D. in quantitative field, proven alignment of AI/ML with business objectives, and strong collaboration skills.

Full Job Description

Vanguard is one of the world's largest and most respected investment management companies, known for its client-centric approach, low-cost investment products, and commitment to long-term, data-driven investment strategies. Our Center for AI and Insights (CAI) team is advancing AI innovation and building AI driven products for our business lines. In this role, you will lead, mentor and grow a team of data scientists responsible for a portfolio of data science and AI capabilities empowering frontline crew in Vanguard Workplace Solutions Division. You will also drive hands-on technical work while developing others and partnering with cross functional teams. If you are a strategic problem solver who thrives in both building and coaching, we invite you to apply for this exciting opportunity.

Responsibilities:

  • Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
  • Owns complex data science initiatives to support data-driven business decision making. Design and deploy scalable AI/ML solutions that solve real business problems and drive measurable outcomes.
  • Partners with product, engineering and business stakeholders to translate needs into elegant, data-driven solutions and ensure delivery alignment while holding the bar of quality and impact.
  • Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Supports the continuous evolution and strategy of Vanguard's data science capabilities. Participates in special projects and performs other duties as assigned.

Qualifications:

  • Minimum of five years of related work experience in data science or analytical roles. Experience utilizing statistical and machine learning methods required.
  • Advanced Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and their AI services and tools.
  • Proven ability to align AI/ML solutions with business objectives and communicate technical concepts to non-technical stakeholders. Excellent collaboration skills with cross-functional teams.
  • MS/Ph.D. degree in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or a related field.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a missionwe'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.