AI Governance & Innovation Lead – Tech Business Systems

Pinnaclearc

Irving (TX)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Pinnaclearc is seeking a Technology Business Systems Consultant 4 in Irving, Texas, responsible for ensuring traceability and lifecycle management of AI use cases. This role will align AI solutions with required risk models for the ServiceNow platform and assist in coordinating inputs across teams for AI initiatives.

The successful candidate will engage across product, engineering, and governance functions, ensuring efficient delivery of AI use cases while adhering to enterprise standards from inception to deployment.

Qualifications

  • 5+ years of experience in Business Systems Data or Design, work, consulting, or military experience may apply.
  • Experience engaging with all levels of management, including directors and VPs.

Responsibilities

  • Ensure traceability and lifecycle management of AI use cases aligned to required risk models.
  • Assist in coordinating inputs across tenants and development teams for AI initiatives.
  • Support sprint execution, backlog readiness, and testing/validation coordination.

Skills

AI acumen and knowledge using AI assisted tools like M365 Copilot
Ability to ask the right questions for helping to gather requirements
Strong communication skills
General knowledge of the ServiceNow platform
Understanding AI language prompts

Education

5 plus years of Business Systems Data or Business Systems Design experience

Job description

Pinnaclearc is seeking a Technology Business Systems Consultant 4 in Irving, Texas, responsible for ensuring traceability and lifecycle management of AI use cases. This role will align AI solutions with required risk models for the ServiceNow platform and assist in coordinating inputs across teams for AI initiatives.

The successful candidate will engage across product, engineering, and governance functions, ensuring efficient delivery of AI use cases while adhering to enterprise standards from inception to deployment.

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