Data & AI Enablement Lead

Vets Hired

Job Location:

Washington, DC - USA

Monthly Salary: Not Disclosed

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

The Data & AI Enablement Lead drives enterprise-wide adoption of data AI analytics and automation capabilities by developing enablement strategies reusable resources onboarding programs and governance standards. This role partners with business and technology teams to improve data literacy promote responsible AI usage measure adoption and lead enterprise enablement initiatives.

Duties and Responsibilities

Develop and implement enterprise enablement frameworks for data AI analytics and automation platforms.
Create reusable enablement assets including starter kits templates reference code and onboarding materials.
Lead enterprise adoption initiatives across multiple business units.
Partner with product engineering and architecture teams to integrate enablement standards into delivery processes.
Develop dashboards and metrics to monitor adoption engagement and program effectiveness.
Mentor and coach enablement team members and technical advocates.
Promote data literacy and responsible AI adoption across the organization.
Serve as a liaison between business and technology teams.
Develop technical documentation and user guidance materials.
Support platform releases by ensuring enablement resources are available.
Identify opportunities to improve enterprise adoption and user experience.
Research emerging AI analytics and enablement technologies and recommend best practices.
Lead cross-functional collaboration to maximize business value from data and AI initiatives.
Perform additional data enablement and AI advocacy responsibilities as assigned.

Requirements

Bachelors degree in Data Science Computer Science Information Systems or a related field.
68 years of experience in data analytics AI or technology enablement.
Experience leading enterprise-scale enablement or adoption initiatives.
Knowledge of data platforms AI technologies analytics and automation.
Experience developing enablement frameworks onboarding programs and technical documentation.
Strong stakeholder management and cross-functional collaboration skills.
Experience with platform adoption metrics dashboards and usage analytics.
Leadership experience in Agile or product-based environments.
Excellent communication presentation mentoring and facilitation skills.
Experience with community engagement or technical advocacy (preferred).

Job Summary The Data & AI Enablement Lead drives enterprise-wide adoption of data AI analytics and automation capabilities by developing enablement strategies reusable resources onboarding programs and governance standards. This role partners with business and technology teams to improve data litera...

Job Summary

Duties and Responsibilities

Develop and implement enterprise enablement frameworks for data AI analytics and automation platforms.
Create reusable enablement assets including starter kits templates reference code and onboarding materials.
Lead enterprise adoption initiatives across multiple business units.
Partner with product engineering and architecture teams to integrate enablement standards into delivery processes.
Develop dashboards and metrics to monitor adoption engagement and program effectiveness.
Mentor and coach enablement team members and technical advocates.
Promote data literacy and responsible AI adoption across the organization.
Serve as a liaison between business and technology teams.
Develop technical documentation and user guidance materials.
Support platform releases by ensuring enablement resources are available.
Identify opportunities to improve enterprise adoption and user experience.
Research emerging AI analytics and enablement technologies and recommend best practices.
Lead cross-functional collaboration to maximize business value from data and AI initiatives.
Perform additional data enablement and AI advocacy responsibilities as assigned.

Requirements

Bachelors degree in Data Science Computer Science Information Systems or a related field.
68 years of experience in data analytics AI or technology enablement.
Experience leading enterprise-scale enablement or adoption initiatives.
Knowledge of data platforms AI technologies analytics and automation.
Experience developing enablement frameworks onboarding programs and technical documentation.
Strong stakeholder management and cross-functional collaboration skills.
Experience with platform adoption metrics dashboards and usage analytics.
Leadership experience in Agile or product-based environments.
Excellent communication presentation mentoring and facilitation skills.
Experience with community engagement or technical advocacy (preferred).