Senior Lead Artificial Intelligence Solutions Consultant

• Execute O2A lifecycle activities (Observe → Optimize → Analyze → Run)
• Support configuration of Observe Assistant, activity tagging, persona behavior modeling
• Work with engineering to translate observed behavior into actionable agentic features
• Define enterprise strategy for O2A observation, optimization, and agent generation
• Build O2A operating model including governance, lifecycle stages, roles/responsibilities, and prioritization framework
• Determine scalable implementation pathways for persona coverage, behavioral insights, and continuous optimization loops
• Define strategic roadmap for enterprise Agentic AI adoption (autonomous workflows, memory, planning, tool‑use architectures)
• Partner with AI, IA, Data, Operations and Technology leaders to align multi‑year roadmap
• Develop business cases for large‑scale agent deployment derived from observed tasks
• Govern intake, prioritization, and sequencing across businesses and functions
• Represent O2A/Agentic Strategy in senior forums (COO, AI, Ops leadership)
• Build a repeatable business case framework quantifying efficiency improvements, SLA impact, and accuracy gains derived from O2A deployments, using examples from CTO Ops, Fraud, Claims, and Complaints
• Conduct observation deployments across selected personas and applications
• Build behavioral and task‑level insights to support productivity improvement
• Run end‑to‑end analysis of task‑level behavior, cognitive load indicators, and exception patterns
• Deploy SKAN.ai agents, configure masking, validate data capture, ensure compliance with governance and privacy requirements
• Operate and refine the SKAN Digital Twin: observe workflows, identify inefficiencies, and generate insights for optimization
• Generate structured process documentation (SOPs) for downstream automation teams
• Monitor continuous observation cycles and maintain audit/logging standards
• Act as an advisor to senior leadership to develop or influence digital products, initiatives, plans, specifications, resources, and long-term goals for highly complex business and technical needs across a functional area within the Digital environment
• Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Coordinate highly complex activities and guidance to others
• Provide vision, direction and expertise to senior leadership on implementing innovative and significant digital business plans, programs and initiatives which have significant impact
• Strategically engage with all levels of professionals and managers across the enterprise
• Serve as a technical & functional expert advisor to leadership

7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Executive Leadership in GenAI & Agentic AI: Proven experience leading enterprise-scale Generative AI and Agentic AI products, including autonomous workflows, reasoning systems, and tool-integrated agents with measurable business outcomes
• Enterprise AI Strategy, Operating Model & Governance: Demonstrated ability to design and implement AI operating models, including lifecycle frameworks, governance, and risk controls within highly regulated environments
• Process Intelligence & Digital Twin Expertise: Experience leveraging task mining, behavioral analytics, or digital twin platforms (e.g., SKAN.ai) to drive automation, agentic workflows, and productivity gains
• Multi-Year Roadmap & Transformation Delivery: Track record of defining and executing enterprise AI product roadmaps, aligning cross-functional teams across technology, data, AI/ML, and operations
• Delivery Leadership & Executive Liaison: Proven ability to drive end-to-end product delivery while serving as a strategic liaison between business stakeholders, technology teams, and executive leadership to ensure alignment, transparency, and successful outcomes
• Business Case Development & Value Realization: Strong ability to quantify and communicate ROI for AI investments, including efficiency, SLA, accuracy, and cost improvements at scale
• Technical Fluency & Executive Influence: Deep understanding of modern AI/ML architectures (LLMs, RAG, agent frameworks) combined with the ability to influence senior leadership and drive enterprise-wide adoption