Manager, Machine Learning Engineer

Vanguard; Town of Charlotte (NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Vanguard in New York region seeks a senior AI/ML leader to guide architecture, delivery, and governance across product, data science, platform and engineering teams.

You will translate strategic initiatives into roadmaps and epics, establish scalable operating models, and ensure enterprise standards while partnering with business stakeholders. A minimum of eight years of related experience and an undergraduate degree are required; Vanguard offers a hybrid working model and does not sponsor visas.

Qualifications

• Undergraduate degree or equivalent; graduate degree preferred.
• Minimum of eight years related work experience.

Responsibilities

• Lead recruitment, coaching, talent development, performance management, and compensation decisions.
• Define AI/ML solution architectures with architects and translate strategies into roadmaps, epics, and engineering workstreams.
• Lead cross-functional delivery across Product, Data Science, Platform, and Engineering teams to drive solutions from concept to production.
• Establish engineering practices, reusable frameworks, and platform capabilities to improve scalability and delivery efficiency for AI/ML initiatives.
• Oversee data, feature, and model pipelines for reliable AI/ML solutions.
• Apply ML, statistics, optimization, and experimentation to operationalize predictive capabilities.
• Evaluate data quality and model inputs with Data Science teams to support model development.
• Drive operational excellence through automation, observability, monitoring, incident management, and continuous improvement for production AI/ML systems.
• Ensure adherence to governance, security, risk, compliance, and model lifecycle management.
• Engage stakeholders to translate complex requirements into actionable technical solutions.
• Support departmental planning and execution of strategic objectives while balancing delivery commitments.
• Establish scalable operating models and service standards for long-term AI/ML product sustainability.
• Communicate technical strategy and progress to senior leaders.
• Participate in special projects and other duties as assigned.

Skills

Leadership

Hiring

Coaching

Talent development

Performance management

Compensation decisions

AI/ML architectures

Roadmaps

Engineering collaboration

Cross-functional collaboration

Data quality evaluation

Operational excellence

Governance

Stakeholder communication

Education

Bachelor's degree or equivalent

Graduate degree preferred

Job description

Core Responsibilities

• Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures.

• Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams.

• Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams, driving solutions from concept through production while ensuring alignment to business objectives and enterprise standards.

• Establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives.

• Oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions.

• Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities.

• Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment.

• Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems.

• Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements.

• Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions.

• Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals.

• Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms.

• Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders.

• Participates in special projects and performs other duties as assigned.

Qualifications

• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

• Minimum of eight years related work 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.