Principal, AI Strategy & Automation Architect

Key Responsibilities

• Strategy-Aligned Technical Enablement
• Design and build practical tools that support AI opportunity mapping, KPI alignment, readiness assessment, value realization, health checks, journey analysis, and outcome measurement.
• Assess technical feasibility, data availability, integration considerations, and automation opportunities.
• Translate ambiguous strategic needs into working prototypes, data workflows, proof-of-concept applications, and reusable technical patterns.
• Help internal teams move from manual, one-off analysis toward repeatable, scalable, and automated methods.
• Automation, Tooling, and Prototyping
• Build internal accelerators, lightweight applications, scripts, dashboards, data workflows, and automation assets that improve team efficiency and consistency.
• Create prototypes that demonstrate how AI strategy, measurement, and operational data can be connected to actionable recommendations.
• Develop reusable automation patterns for customer health checks, KPI tree generation, value realization scorecards, readiness assessments, use case prioritization, and engagement preparation.
• Use AI-assisted development, LLMs, APIs, automation frameworks, and data tools to improve speed, quality, and repeatability of strategic engagements.
• Data and Technical Architecture
• Design repeatable data models and workflows that support outcome measurement, baseline analysis, adoption tracking, performance diagnostics, and optimization recommendations.
• Partner with strategy and analytics leads to turn KPI frameworks and value models into scalable technical tools.
• Assess data quality, reporting maturity, integration constraints, and technical readiness as part of AI strategy and value realization engagements.
• Identify where automation, data engineering, or technical design can reduce manual effort and improve consistency across internal teams.
• AI and Automation Innovation
• Evaluate practical uses of AI, automation, analytics, and orchestration to improve strategic engagement delivery and internal enablement.
• Prototype AI-supported workflows for research, synthesis, discovery, KPI mapping, technical assessment, documentation generation, and recommendation development.
• Develop reusable technical patterns that help internal teams responsibly apply AI to customer strategy, advisory, and measurement work.
• Stay current on relevant AI, automation, API, data, and analytics trends, with a focus on practical application rather than hype.
• Provide technical thought leadership on how AI strategy can be supported by data, automation, and reusable tools.
• Methodology and Practice Development
• Contribute to the technical foundation of the AI Outcomes methodology, including outcome intelligence, applied AI, and outcome engineering.
• Create technical playbooks, reference architectures, prototype patterns, reusable code assets, automation templates, and enablement materials.
• Help define how strategic assessments, value realization models, health checks, and outcome frameworks can be operationalized through tooling.
• Partner with the Principal, AI Strategy & Analytics to ensure measurement methods can be supported by practical data workflows and automation.
• Mentor internal teams on technical feasibility, data usage, automation opportunities, AI-assisted workflows, and responsible prototyping.
• Cross-Functional Partnership
• Partner with Professional Services, Customer Experience Advisory, Technical Account Managers, Customer Success leadership, and related teams to provide technical acceleration for strategic initiatives.
• Support high-priority customer scenarios by helping teams understand what is technically possible, what data is available, and what automation or measurement approaches may be practical.
• Collaborate with execution teams to ensure strategic recommendations are grounded in platform realities, data constraints, and implementation feasibility.
• Create internal tools and assets that help teams execute more effectively without replacing delivery ownership.