• Own the end-to-end architecture and roadmap for Montrose’s enterprise data and AI platform on Snowflake (Azure) • Lead the transition from legacy .NET and MS SQL–based data environments to modern cloud-native data patterns • Define and enforce standards for data ingestion, transformation, modeling, analytics, and AI enablement • Establish modern ELT pipelines using dbt, Fivetran, and/or appropriate Azure-native equivalents • Design the platform to be Data Cloud–ready, supporting future integrations with Salesforce Snowflake Data Cloud and Workday Snowflake Data Cloud • Lead the evaluation, selection, and implementation of enterprise BI and analytics tooling • Lead the evaluation and adoption of enterprise AI / LLM platforms (e.g., Abacus or comparable solutions) • Design and deliver an initial AI-driven use case that automates and materially improves testing, monitoring, and remediation workflows • Ensure the initial AI use case delivers measurable efficiency, reliability, or cost improvements that justify capital investment • Establish analytics-ready and AI-ready data models • Define data and AI governance practices including security, access control, lineage, and cost management • Serve as the senior technical authority for data, analytics, and AI platform decisions • Partner with IT, Engineering, Operations, Finance, and executive leadership • Build and lead the data organization, starting with a senior data engineer • Leverage a nearshore delivery model utilizing Latin American talent • Mentor engineers and analysts, setting expectations for rigor, documentation, and measurable outcomes