Manager, Machine Learning Engineer
About The Position
This role provides leadership in hiring, coaching, talent development, performance management, and compensation decisions. The Manager, Machine Learning Engineer partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams. This role 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. The Manager establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives. This role oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions. The Manager applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities. They evaluate data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment. The Manager drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems. They ensure adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements. The Manager engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions. This role supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals. The Manager establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms. They communicate technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders. The Manager participates in special projects and performs other duties as assigned.
Requirements
- Undergraduate degree or equivalent combination of training and experience.
- Minimum of eight years related work experience.
Nice To Haves
- Graduate degree preferred.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Associate degree
