Manager, Machine Learning Engineer

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and scaling AI/ML solutions that support Financial Advisory Services (FAS) business objectives. Partners closely with Product, Data Science, Architecture, and Technology teams to deliver production‑grade AI capabilities with a strong focus on scalability, reliability, governance, and operational excellence. Drives end‑to‑end solution delivery from architecture planning through implementation, deployment, monitoring, and continuous improvement. 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. #J-18808-Ljbffr