Product Owner – Observe-to-Agent (O2A) Platform

Role:Product Owner - Observe-to-Agent (O2A) Platform

Location: Charlotte NC (Hybrid - Look for local candidates)

Employment type: W2 Only

Duration: Long-term contract

Job Description

The Product Owner will lead the strategy vision and enterprisescale development of the ObservetoAgent (O2A) platforman advanced capability that transforms videobased 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 endtoend strategy for Observe spanning video capture telemetry ingestion persona configuration clickstream processing and data collection across diverse business domains.
• Product Vision Roadmap & MultiRelease Strategy
• Own the product vision roadmap and multirelease plan for the VideotoCode 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 videotoAPI 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 endtoend value stream from data capture to agent execution.
• Define compliance control and model assurance standardsincluding PII redaction safeuse patterns and governance workflows.
• Enterprise Process Intelligence & Automation Insight Frameworks
• Develop enterprise guidelines for process mapping mining behavioral clustering and insight generation to identify highvalue 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 opensource multimodal and agentic models (e.g. Gamma3 large action models) into the agent creation pipeline.
• Define requirements for foundational platform services such as structured insights extraction ontology and knowledgegraph generation clickstream mapping and automated workflow generation.
• CrossFunctional Leadership & Delivery Management
• Lead crossfunctional delivery teamsincluding Data Science AI Engineering Skan Configurators and Platform Engineeringto deliver capabilities such as:
• Multimodal ingestion
• SOP generation
• Semantic graph construction
• Workflow translation
• Agent execution validation
• Multiagent orchestration
• Define quality governance and assurance requirements including hallucination controls SLA breach alerts execution rollback mechanisms analystintheloop checkpoints and observability (ARIZE Phoenix Splunk).
• Enterprise Strategy Governance & Change Leadership
• Establish enterprise release and changemanagement 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 longterm largescale 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 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 enterprisegrade AI or automation capabilities.
• Strong systemsthinking 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 AIenabled services across multiple engineering organizations.

Required Skills:

Product ManagementAutomationCross Functional RelationshipsRiskCompliance Analysis