Manager, Machine Learning Engineer
Vanguard · Dallas, TX
- On site
- Full-time
- $180,000 / year
- Dallas, TX
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Manager, Machine Learning Engineer
Vanguard · Dallas, TX
Taylor Morgan
Hiring Manager · h•••••@vanguardjobs.com
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Subject: Interested in the Manager, Machine Learning Engineer role at Vanguard
Hi Taylor — I came across the Manager, Machine Learning Engineer opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Vanguard stood out because…
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Not recommended alone — most applicants never hear back.
Job highlights
- Lead ML Engineers in AI/ML solution delivery.
- Partner with cross-functional teams for production AI.
- Focus on scalability, reliability, and operational excellence.
- Drive AI/ML strategy and roadmap development.
- Manage hiring, coaching, and talent development.
About the role
Manager, Machine Learning Engineer
Vanguard is seeking a Manager, Machine Learning Engineer to lead a team responsible for designing, building, deploying, and scaling AI/ML solutions that support Financial Advisory Services (FAS) business objectives. This role involves close partnership 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. You will drive 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.
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.
Key skills/competency
- Machine Learning
- Engineering Management
- AI Solutions
- Scalability
- Reliability
- Governance
- Operational Excellence
- Data Pipelines
- Model Deployment
- Team Leadership
Skills & topics
- Machine Learning
- AI
- Engineering Management
- Team Leadership
- Data Science
- Python
- Cloud Computing
- MLOps
- Financial Services
- Software Engineering
- Scalability
- Reliability
- Governance
- Vanguard
How to get hired
- Tailor your resume: Highlight your machine learning leadership and experience with AI/ML solution delivery, emphasizing scalability and operational excellence.
- Showcase your leadership: Detail your experience in hiring, coaching, and managing engineering teams, and driving cross-functional collaboration.
- Quantify your impact: Use metrics to demonstrate the success of AI/ML solutions you've developed or managed, focusing on business objectives.
- Prepare for behavioral questions: Be ready to discuss your approach to team management, stakeholder engagement, and driving technical strategy.
- Research Vanguard's culture: Understand their mission, hybrid work model, and focus on long-term financial well-being.
Technical preparation
Master ML algorithms and their applications.,Review cloud platform ML services (AWS, Azure, GCP).,Practice designing scalable ML system architectures.,Familiarize with MLOps tools and CI/CD for ML.
Behavioral questions
Describe leading a technical team through challenges.,How do you foster collaboration across departments?,How do you ensure operational excellence in ML systems?,Discuss your approach to talent development and coaching.
Prefer to apply the usual way?
Not recommended alone — most applicants never hear back. Email the hiring manager first.
Frequently asked questions
- What are the key responsibilities for a Machine Learning Engineering Manager at Vanguard?
- The Machine Learning Engineering Manager at Vanguard leads a team in designing, building, and deploying AI/ML solutions. Key responsibilities include team leadership, architecture definition, cross-functional delivery, establishing engineering best practices, overseeing data and model pipelines, and ensuring operational excellence and governance for AI/ML systems.
- What qualifications are needed to apply for the Machine Learning Engineering Manager role at Vanguard?
- Candidates need an undergraduate degree or equivalent experience, with a graduate degree preferred. A minimum of eight years of related work experience is required, along with demonstrated experience in leading machine learning engineering teams and delivering production-grade AI/ML solutions.
- Does Vanguard offer visa sponsorship for the Machine Learning Engineering Manager position?
- No, Vanguard is not offering visa sponsorship for this particular Machine Learning Engineering Manager position.
- What is the work environment like at Vanguard for this role?
- Vanguard utilizes a hybrid working model, balancing the benefits of flexibility with opportunities for in-person learning, collaboration, and connection. This model supports their mission-driven and highly collaborative culture.
- How does Vanguard ensure the reliability and scalability of its AI/ML solutions?
- Vanguard emphasizes scalability, reliability, governance, and operational excellence. This is achieved through robust architecture planning, establishing reusable frameworks, overseeing data/model pipelines, driving automation, observability, monitoring, and continuous improvement practices for production AI/ML systems.
- What is the expected career growth for a Machine Learning Engineering Manager at Vanguard?
- While specific growth paths vary, a Manager role at Vanguard offers opportunities for advancement by leading critical AI/ML initiatives, influencing technical strategy, and developing leadership skills within a mission-driven organization focused on client financial well-being.
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