Product Manager 5

$61.06 - $66.92

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Product Manager in Charlotte, NC (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: 6 Months

• 7+ years of Product Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• 7+ years of digital product management experience, or equivalent through professional experience, training, military background, or education.
• Technical expertise in multimodal machine learning, generative AI workflows, agent architectures, and automation design.
• Demonstrated ability to define and scale enterprise?grade AI or automation capabilities.
• Strong systems?thinking mindset with the ability to design operationally scalable and compliant AI systems.
• Proven experience influencing senior leadership and technical teams, shaping strategy and prioritization.
• Track record of delivering complex AI?enabled services across multiple engineering organizations.

• Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Product Management.
• Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking.
• Provide expertise to client senior leadership on innovative Product Management business solutions.
• Strategically engage with client personnel.
• Define and scale the enterprise Observe capability and its operating model, ensuring consistent, secure deployment with measurable business value across the company.
• Build and expand the Agentic capability that converts raw video captures into executable agentic workflows/code, driving automation acceleration across operations and enterprise functions.
• Own the end?to?end strategy for Observe, spanning video capture, telemetry ingestion, persona configuration, clickstream processing, and data collection across diverse business domains.
• Own the product vision, roadmap, and multi?release plan for the Video?to?
  
  Code pipeline and broader agent creation ecosystem.
• Leverage multimodal ingestion, semantic understanding, and hybrid deterministic + LLM architectures aligned with the O2A roadmap.
• Establish scalable enterprise patterns for video?to?
  
  API code generation, enabling transformational delivery velocity (e.g., automating 30+ control reviews per quarter).
• Partner with COO Technology and SkanAI to define the seamless transition from Observe ? Analyze ? Optimize ? Run, shaping the end?to?end value stream from data capture to agent execution.
• Define compliance, control, and model assurance standards—including PII redaction, safe?use patterns, and governance workflows.
• Develop enterprise guidelines for process mapping, mining, behavioral clustering, and insight generation to identify high?value automation opportunities.
• Shape and operate O2A experimentation frameworks in collaboration with CIO leadership and COO Tech (e.g., Cloud PC environments, Digital Identity, containerized deployments).
• Own the strategy for integrating open?source multimodal and agentic models (e.g., Gamma?3, large action models) into the agent creation pipeline.
• Define requirements for foundational platform services such as structured insights extraction, ontology and knowledge?graph generation, clickstream mapping, and automated workflow generation.
• Lead cross?functional delivery teams—including Data Science, AI Engineering, Skan Configurators, and Platform Engineering—to deliver…