• Job Description

  Req#: R7922

  Why Montrose

  Montrose is on a mission to protect the planet and public health using science, data, and technology at scale. We work at the intersection of environmental intelligence, regulatory insight, and advanced digital platforms , helping our customers make smarter, faster decisions that genuinely matter.

  This is not compliance theater or greenwashing. This is real -world environmental impact , backed by serious data, real customers, and a scale that matters . If you want to build a modern data and AI platform from the ground up ; and see it directly enable environmental outcomes at enterprise scale , this is that role .

  What We Can Offer You

  • 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 compensation package: annual salary ranging from $200,000 - $235,000, commensurate with accomplishments, performance, credentials and geography

  • 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.

  The Role

  The Senior Director of Data Science & Data Platform owns the strategy, architecture, and execution of Montrose’s enterprise data and AI platform. This role is responsible for building a modern Snowflake-based data platform on Azure, transforming legacy .NET and Microsoft SQL systems into a scalable, cloud-native ecosystem designed to support analytics, AI, and automation.

  This is not a “dashboards-only ” data role. This is foundational platform work with real downstream impact: powering analytics, regulatory insight, operational optimization, and AI-driven systems that materially change how work gets done.

  You will design the platform for today’s reporting and analytics needs while deliberately preparing for what comes next: Snowflake Data Cloud integrations with Salesforce and Workday, enterprise-grade AI tooling, and high-impact AI-driven operational use cases.

  This is a hands-on architectural leadership role with a clear mandate: establish strong foundations, make opinionated decisions, reduce legacy drag, and deliver a first AI use case that justifies the broader data and AI investment. You will start lean , initially hiring a data enginee r, but grow the function through a mix of strong leadership and leveraging of nearshore resources in Latin America.

  Key Responsibilities

  • 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

  Wha t Success Looks Like (12–18 Months)

  • A production-grade Snowflake data platform is live on Azure

  • Legacy .NET and MS SQL data dependencies are understood

  • dbt -based transformation and modeling standards are consistently adopted

  • A modern enterprise BI tool is deployed and widely used

  • An enterprise AI / LLM platform is selected, implemented, and governed

  • A flagship AI use case is live automating testing, monitoring, and remediation

  • Measurable improvements in system reliability, cost, or operational efficiency

  • The demonstrated ROI justifies broader enterprise AI investment

  • Foundational readiness for Salesforce and Workday Snowflake Data Cloud

  • A high-performing core data team is established

  • Business leaders trust and actively use data and AI outputs

  Qualifications

  • 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

  Why This Role Is Compelling

  You are building the foundation , not inheriting it . You own the data and AI roadmap end-to-end and y ou will deliver the first AI win that justifies enterprise investment .

  The mission is authentic, scaled, and growing Enterprise impact without enterprise paralysis .

  The platform you build will matter for years .

• About the company

  Montrose is an environmental services provider offering measurement and analytical services as well as environmental resiliency and sustainability solutions

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