AI product manager - NC

Nexiva Inc; Charlotte (NC); On-site; USD 96,000 - 152,000; Part time

Job summary

Nexiva Inc seeks an AI Product Owner for a 6-month contract in Charlotte. The role requires 3 days per week in-office and close collaboration with business and technology partners to deliver automated solutions.

You will translate business needs into user stories, groom the backlog, and drive AI/workflow design with engineering teams, ensuring alignment with regulatory and enterprise standards.

Qualifications

• Experience in AI product ownership and Agile environments.
• Banking domain familiarity and regulated environment experience.
• Ability to translate business needs into technical requirements and user stories.
• Knowledge of SDLC and security requirements.

Responsibilities

• Translate business processes into clear user stories and maintain the backlog.
• Collaborate with business execution and engineering to deliver automation.
• Support testing, demos, and user acceptance testing.
• Identify risks and propose mitigation options with business impact in mind.
• Align IA needs with technology strategy and enterprise standards.
• Provide in-depth analysis to define problems and design innovative solutions.

Skills

AI knowledge

Stakeholder management

Clear communication

Agile methodologies

Requirements translation

Team collaboration

Tools

LangChain

LangGraph

Google Agent Space

MS Copilot Studio

OpenAI

Azure OpenAI

Job description

AI PRODUCT OWNER

Duration: 6-month contract with potential to extend

Location Requirement: Charlotte (Only locals)

3 days a week in office required

Interview:

30 min Teams Interviews

Responsibilities

• Act as a liaison between our lines of business and technology partners by facilitating the
• delivery of highly complex business problems to be solved with automated solutions
• Support the business in the alignment of their Intelligent Automation (IA) needs/usage with
• their technology and business strategies
• Support the development of the automation analysis and design methodology, including
• the related policies, procedures, tools and artifacts, to ensure a "rapid" implementation
• process that aligns with established release cycles and related enterprise standards
• Work directly with subject matter experts within the lines of business to fully comprehend
• business processes and translate those processes into clear and concise user stories,
• create and groom the backlog for automation delivery and deployment
• Support automation testing, as well as facilitate user acceptance testing
• Conduct product demos, provide product acceptance
• Identify and communicate risks and impacts and propose risk mitigation options,
• considering business implications of the application of technology to the current business
• environment
• Provide in-depth and sophisticated analysis applying interpretive thinking and design
• thinking to define problems, develop innovative solutions and influence strategic functional
• decisions
• Drive accountability for assigned initiatives, limit risk exposure, and create efficiencies as
• appropriate
• Collaborate and consult with members of the Business Execution team and team leaders
• to drive strategic initiatives
• Respond and collaborate with developers regarding the requirements and the client needs
• Make decisions product/functionality/experience area requiring strong understanding of the
• business, policies, procedures and/or compliance requirements
• Proactively notify stakeholders of risks, bottlenecks, problems, issues, and concerns

Technical Requirements

• Banking Experience
• Ensure compliance with System Development Lifecycle and Information
• Security requirements
• Strong understanding of AI, Gen-AI, Agentic AI, multi-agent systems, and orchestration platforms, with ability to translate business needs to technical requirements.
• Experience in leading and collaborating with Engineering teams to design and implement AI, Agentic AI workflows using LangChain/LangGraph, Google Agent Space, MS CoPilot Studio, etc.,
• Experience deploying AI/ML solutions in regulated environments.
• Strong understanding of Agile methodologies and enterprise software development.
• Familiarity with Gen AI platforms (e.g., OpenAI, Azure OpenAI, BloombergGPT).
• Excellent communication and stakeholder management skills.