Product Manager 5 - Contingent

Cross-Functional Leadership and Delivery Management Define quality, governance, and assurance requirements including hallucination controls, SLA breach alerts, execution rollback mechanisms, analyst-in-the-loop checkpoints, and observability (ARIZE, Phoenix, Splunk). 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.

Title: Product Manager
Location: Charlotte, NC
Contract W2

Job Description:

• Product Owner – Observe-to-Agent (O2A) Platform
• The Product Owner will lead the strategy, vision, and enterprise-scale development of the Observe-to-Agent (O2A) platform—an advanced capability that transforms video-based process captures into executable agentic workflows and automation code.
• This role sits at the center of multimodal AI, automation engineering, and enterprise digital transformation, driving capabilities that accelerate operational efficiency across the COO organization and the broader enterprise.

Key Responsibilities:
Enterprise Capability Ownership:

• 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.

Product Vision, Roadmap and Multi-Release Strategy

• Own the product vision, roadmap, and multi-release plan for the Videoto-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).

Integration Across the O2A Value Stream

• 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.

Enterprise Process Intelligence and Automation Insight Frameworks

• 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).

Advanced AI Capability Strategy

• 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.

Cross-Functional Leadership and Delivery Management

• Define quality, governance, and assurance requirements including hallucination controls, SLA breach alerts, execution rollback mechanisms, analyst-in-the-loop checkpoints, and observability (ARIZE, Phoenix, Splunk).

Lead cross-functional delivery teams—including Data Science, AI Engineering, Skan Configurators, and Platform Engineering—to deliver capabilities such as:

• Multimodal ingestion
• SOP generation
• Semantic graph construction
• Workflow translation
• Agent execution validation
• Multi-agent orchestration

Enterprise Strategy, Governance and Change Leadership

• Establish enterprise release and change-management routines for O2A, ensuring LOB alignment, training, onboarding, and readiness.
• Collaborate with SMEs across operations, fraud, complaints, IT Ops, and contact centers to translate manual workflows into reusable agentic patterns.
• Deliver long-term, large-scale capabilities that require creativity, innovation, and advanced analytical reasoning.
• Provide strategic vision and expert guidance to senior leadership on the implementation of meaningful digital transformation initiatives.
• Engage with and influence stakeholders at all levels across the enterprise, serving as a trusted advisor and thought leader.

Required Qualifications:

• 7 plus 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.

In this contingent resource assignment, candidates may:

• 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.

Required Qualifications:

• 7 plus years of Product Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Pay Range: $60-65/hr on W2

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

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