VA
VanguardManager, Machine Learning Engineer
LocationMalvern, PA; Charlotte, NC; Dallas/Ft. Worth, TX; Philadelphia, PA
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
Company size10,000+ people
PostedAug 26, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Undergraduate degree or equivalent combination of training and experience
Minimum of eight years related work experience
Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions
Partners with architects to define AI/ML solution architectures and translate strategies into executable roadmaps
Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams
Establishes engineering practices, reusable frameworks, and platform capabilities
Oversees design, implementation, and evolution of data, feature, and model pipelines
Applies expertise in machine learning, statistics, optimization, and experimentation methodologies
Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams
Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement
Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements
Engages business and technology stakeholders to understand objectives and translate requirements into solutions
Supports departmental planning, prioritization, and execution of strategic objectives
Establishes scalable operating models, support processes, and service standards
Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior leaders
Graduate degree preferred
Vanguard is not offering visa sponsorship for this position
Skills
Python
React
AWS
PostgreSQL
Core Responsibilities
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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
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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.