Manager, Machine Learning Engineer

- 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.

- Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.