Process Engineer 4 - Contingent

About the role

The Product Owner will lead the strategy, vision, and enterprise-scale development of the Observe?to?Agent (O2A) platform—a transformative capability that converts video-based process captures into executable agentic workflows and automation code. This role is pivotal in multimodal AI, automation engineering, and enterprise digital transformation.

Responsibilities

• Multimodal ingestion
• SOP generation
• Semantic graph construction
• Workflow translation
• Agent execution validation
• Multi-agent orchestration
• 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).
• 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 & Multi-Release Strategy: 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).
• 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 & 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 & Delivery Management: Lead cross-functional delivery teams—including Data Science, AI Engineering, Skan Configurators, and Platform Engineering—to deliver capabilities such as:
• Enterprise Strategy, Governance & 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.

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.
• Prominent track record of delivering complex AI-enabled services across multiple engineering organizations.
• Top 3 skills required: Process understanding skill, soft skills communication to understand business process, Hands-on Agentic build experience & understands the design/architecture of agentic implementation, Ability to understand tools integration to drive the conversation with client’s engineers and applications impacted.

Required Qualifications

• 5 plus years of Process Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• Consult on complex initiatives with broad impact and large-scale planning for Process Engineering.
• Analyze complex multi-faceted, larger scale or longer-term Process Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
• Strategically collaborate and consult with Client personnel.

Benefits

• Medical
• Dental
• Vision
• 401K contributions
• PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

Pay

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.