Senior Manager, Machine Learning

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The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
 

Grade: Management Technical 716

Pay Range: $196,000.00 - $323,400.00

Job Description

Job Profile Summary

The Senior Manager, Machine Learning is a champion of Machine Learning innovation. This manager believes in the power of technology and has built broad and significant leadership skills in the AI/ML field. Driven to create a collaborative environment, this manager transforms opportunities into solutions. Adaptable in working efficiently towards team and department goals and reliable in understanding technical concepts. As an effective team leader and department advocate, this manager enjoys inspiring and developing others and leads the work and people across   multi-functional teams and departmental environments. Demonstrates confidence, enthusiasm and enjoys inspiring and developing others through direct and indirect leadership. This position focuses on strategic and operational priorities.

Essential Functions and Responsibilities:

• Leads a team and department of ML Engineers for the organization through direct and indirect report leadership.

• Participates in Applied ML strategy development and operationalization of approved strategies and initiatives.

• Hires, builds, and develops a team of scientists/engineers and leads them to design, develop, and evaluate innovative and complex ML models to solve diverse challenges and opportunities.

• Manages and applies continues improvement approaches to customized machine learning applications to drive innovation and optimizes business values.

• Leads with cultivating a strong applied science and engineering culture, responsible for delivering business results in new and undefined business areas.

• Partners closely with our Analytics and oversees MLOps teams to drive model implementations and new algorithms.

• Uses and interprets complex data to develop solutions and outcomes.

• Collaborates frequently with a large number of cross-functional and internal/external partners to provide expertise in building and applying ML models.

• Provides technical and strategic guidance and mentorship to internal stakeholders.

• Builds the capabilities for measuring and improving quality of machine learning models.

• Actively participates in defining and executing a multi-year strategic technical roadmap.

• Supports and develops talent, identifying goals for each team member to grow and contribute to their full potential.

• Communicates with and influences executives and team leaders; drives the strategy of ML innovation.

• Leads complex technical discussions, providing domain expertise and strategic influence.

• Communicates research and development results to internal and external audiences in oral and written form.

• Collaborates with product groups and other stakeholders to deploy research and development solutions at scale.

• Researches and recommends ways to improve models, increase adoption and value.

• Validates other member's ML work and evaluate models for pitfalls.

• Supports and executes A/B tests and experiments.

• Investigates trends and needs for ML models.

• Partners with other teams to make insights and models results actionable.

Competencies: 

Organizational Impact: