Senior Director, Data Science

Role Overview

• 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

Requirements

• 8+ years of experience in data engineering, analytics, or data platforms
• 4+ years in senior technical leadership or architecture roles
• Deep hands-on experience with Snowflake and cloud data platforms
• Proven success modernizing legacy data stacks (.NET, MS SQL Server)
• Strong experience with dbt, Fivetran, or comparable tools
• Experience evaluating BI and enterprise AI / LLM platforms
• Strong understanding of data modeling, governance, and analytics engineering
• Demonstrated ability to deliver AI use cases with measurable business impact
• Strong communication skills across technical and executive audiences.
• Preferred Experience with Abacus or similar enterprise AI platforms
• Familiarity with Azure-native analytics and AI services
• Experience operating nearshore or distributed teams in Latin America
• Experience building AI-enabled operational platforms
• Exposure to regulated or data-intensive enterprise environments.

Tech Stack

• Azure
• Cloud
• MS SQL Server
• SQL
• .NET

Benefits

• Mentorship and professional development resources to advance your career
• Direct exposure to our industry’s leading experts who are solving the world’s toughest environmental challenges
• An entrepreneurial environment where you can learn, thrive and collaborate with talented colleagues
• Opportunities to engage and contribute in our Diversity, Fairness and Inclusion and Women Empowering Leadership employee resource groups
• Competitive medical, dental, and vision insurance coverage
• 401k with a competitive 4% employer match
• Progressive vacation policies, company holidays and paid parental leave benefits to ensure work/life balance
• A financial assistance program that supports peers in need, known as the Montrose Foundation
• Access to a student loan planning tool to optimize your student loan payoff plans and compare student loan rates with lenders.