Define and Execute Platform Strategy
● Lead the platform engineering vision, roadmap, operating model, and execution plan.
● Build a cohesive organization across shared services, AI platform, integrations, data engineering, reporting, analytics, and developer experience.
● Translate business and product strategy into platform capabilities that improve speed, reliability, security, scalability, and customer value.
● Establish ownership models, platform adoption strategies, service maturity standards, and measurable outcomes
Build Enterprise-Grade Application Platforms
● Own foundational services including API Gateway, Developer Portal, Authentication, Authorization, Logging, Audit Trail, service templates, and platform libraries.
● Drive a paved-road development model that improves velocity while preserving appropriate team autonomy.
● Ensure shared services are reliable, observable, secure, well-documented, and easy to adopt.
● Provide technical leadership across AWS, Kubernetes, Ruby on Rails, Node, Python, PostgreSQL, and related cloud-native technologies.
Lead the Agentic AI Platform
● Own the strategy, architecture, and execution for the company’s agentic AI platform.
● Build reusable capabilities for tool definition, retrieval and grounding, model interaction, permission context, tracing, evaluation, versioning, and usage reporting.
● Enable teams to develop AI-powered features safely and quickly using OpenAI SDK, MCP, Python, Node, and related technologies.
● Establish patterns for permission-aware agents, grounded responses, tool execution, model orchestration, evaluations, and production observability.
Transform Software Development with AI
● Lead the company’s AI-native software development lifecycle strategy.
● Standardize agent skills, plug-ins, local development environments, templates, and workflows.
● Enable AI-assisted development across coding, testing, code review, documentation, release management, support, and operations.
● Define guardrails for security, code quality, data privacy, intellectual property, and responsible AI usage.
Own Enterprise Integrations
● Define the technical strategy for enterprise integrations and ecosystem connectivity.
● Lead integration capabilities using APIs, MCP, agents, and scalable integration patterns.
● Own integrations with HRIS, ITSM, Microsoft SharePoint, Microsoft Teams, and other enterprise operational systems.
● Reduce integration complexity through reusable connectors, authentication patterns, monitoring, documentation, and supportability standards.
Lead Data Platform, Reporting & Analytics
● Own data engineering, customer-facing reporting, internal analytics infrastructure, and analytics products.
● Build scalable data pipelines, data models, warehouse architecture, reporting infrastructure, and analytics enablement.
● Provide leadership across PostgreSQL, Redshift, AWS data services, and related data technologies.
● Drive data quality, lineage, governance, privacy, access control, and reliability.
Build and Lead the Organization
● Lead multiple teams across platform engineering, AI platform, integrations, data engineering, analytics, and developer experience.
● Hire, mentor, and develop managers, architects, staff engineers, and senior engineers.
● Create clear goals, ownership, operating rhythms, and accountability across the organization.
● Build strong partnerships with Product, CloudOps, Security, Customer Success, Implementation, Data, and executive leadership.