AI and Data Enablement Technical Manager

Ascension•Remote,

1d•$125,687 - $170,050•Remote

About The Position

This role will lead the roadmap and governance for AI-enabled capabilities, operational data platforms, and self-service solutions, ensuring alignment with business and technology priorities. The position involves establishing and managing trusted operational data foundations, including data quality, semantic models, business metrics, and information accessibility. A key aspect of the role is to drive the adoption of AI, automation, and operational intelligence capabilities to improve decision-making, user experience, and operational effectiveness. The manager will partner with business, technology, and managed service providers to deliver scalable platform capabilities, operational excellence, and continuous improvement.

Requirements

High School diploma equivalency with 3 years of cumulative experience OR Associate's degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.
Experience implementing AI/ML, generative AI, or intelligent automation solutions in an enterprise environment.
Demonstrated experience leading enterprise initiatives involving AI, automation, operational analytics, data platforms, self-service capabilities, or digital transformation.
Strong understanding of data governance, semantic modeling, operational reporting, analytics enablement, and platform lifecycle management.
Proven ability to lead cross-functional teams, influence stakeholders, and manage vendor or managed service provider relationships in a complex enterprise environment.

Nice To Haves

3 years of leadership or management experience preferred.

Responsibilities

Lead the roadmap and governance for AI-enabled capabilities, operational data platforms, and self-service solutions, ensuring alignment with business and technology priorities.
Establish and manage trusted operational data foundations, including data quality, semantic models, business metrics, and information accessibility.
Drive adoption of AI, automation, and operational intelligence capabilities to improve decision-making, user experience, and operational effectiveness.
Partner with business, technology, and managed service providers to deliver scalable platform capabilities, operational excellence, and continuous improvement.