- Lead integration programs end-to-end for external clients from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
- Navigate the full relationship stack, translating architecture trade-offs to executives and earning trust with engineering teams.
- Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline.
- Own your calendar, estimates, and commitments, surfacing risks proactively.
- Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
- Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
- Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
- Monitor and optimize integrations for performance, scalability, and maintainability.
- Lead discovery sessions, shape estimates, and contribute to SOW development.
- Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
- Actively prototype and deploy AI/LLM services inside integration solutions (summarization, document parsing, intelligent transformation, synthetic test data generation).
- Advance automation with AI-assisted code review and LLM-based development platforms.
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