ServiceNow Product Analyst
Listed on 2026-08-22
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IT/Tech
IT Business Analyst, IT Consultant, Systems Analyst, IT Project Manager
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Service Now Product Analyst in Irving, TX or Charlotte, NC or Minneapolis, MN (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially,
Contract Duration: 12 Months + extensions/conversion
Product Analyst role within our Service Now Core Platform AI Innovation team.
Required Skills & Experience- AI acumen & knowledge using AI assisted tools like M365 Copilot, etc.
- Ability to ask the right questions for helping to gather requirements.
- Strong communication skills is a must.
- Prefer someone who has some general knowledge of the Service Now platform.
- Someone that understands the SN capabilities
- Must be able to engage with all levels, (directors, VP etc.)
- Understanding the AI - language prompts
- Ensure traceability and lifecycle management of AI use cases and aligning all AI solutions to required risk models for the Service Now platform.
- Assist in coordinating inputs across tenants and development teams around AI initiatives and ensuring production readiness standards are met for AI deployments.
- Beyond governance, this role is embedded within the AI Innovation & Incubation delivery team, supporting sprint execution, backlog readiness, testing and validation coordination, and cross-team dependency management across engineering, architecture, and governance stakeholders. It serves as a critical connector between product, engineering, and governance functions; ensuring that AI use cases are not only delivered efficiently but are also aligned to enterprise standards from inception through deployment.
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