Manager, Machine Learning Engineer
Vanguard · Dallas, TX
- On site
- Full-time
- $180,000 / year
- Dallas, TX
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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.
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.