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OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov’s mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com.
About the Role:We are seeking a senior leader to own the architecture and operations of our centralized data infrastructure, enabling a federated data strategy across the company. You will be responsible for the systems and platforms that power analytics and AI use cases at scale — from ingestion to transformation and governed access. This role will partner closely with cross-functional teams who own their own data products, but rely on a shared foundation for reliability, performance, and scalability.
What You’ll Own:End-to-end ownership of the foundational data stack: Snowflake, dbt, Fivetran, orchestration frameworks, observability, discoverability, and access management
Design, implement, and evolve a scalable data infrastructure to support federated data product development across business units
Lead implementation of ELT/ETL pipelines for analytical and AI/ML-driven use cases, ensuring data readiness for consumption
Define and enforce governance, access control, and lineage across all levels of the data warehouse and transformation layer that allows federated teams to work without their data and approved data products while complying with security and legal best practices
Proactively identify new opportunities to normalize data across the company, recommending data and broader systems projects to address data at the raw source when applicable and/ or normalize it within the warehouse across multiple functions, data sources, and end data products
Build and maintain platform reliability, scalability, and cost efficiency standards and automation
Evaluate and integrate new technologies — including ingestion frameworks, metadata and cataloging tools, and version control for data
Act as a strategic partner to analytics, AI, and domain teams, enabling them to ship data products independently and securely
Lead a proactive data evangelism program that identifies untapped raw data sources across OpenGov’s functional teams, lands them in the central warehouse, and recommends high-impact data products that could be built atop that foundation
Collaborate with stakeholders to socialize best practices, build alignment around architecture principles, and guide teams toward effective use of shared infrastructure
Build and lead a small, high-performing infrastructure team while being willing able to roll-up your sleeves and solve the hardest data engineering challenges at OpenGov
10+ years of experience in data engineering or infrastructure roles, ideally with experience in platform or central ops environments
Expertise with tools like Snowflake, dbt, Fivetran, and orchestration frameworks (Airflow, Dagster, etc.)
Snowflake is our current data warehouse provider and while we are open to evaluating others, we need to be convinced it won’t work for our use case
Strong understanding of cloud-native data architecture, multi-tenant models, and infrastructure-as-a-service principles
Experience supporting analytical and AI/ML use cases, with an understanding of their data infrastructure needs
Proven ability to scale platforms for federated and decentralized team structures
Demonstrated success in program management, stakeholder alignment, and cross-functional influence
Hands-on mindset with a bias for simplicity, clarity, and ownership
Leadership experience
Experience operationalizing data governance and access control in federated orgs
Familiarity with metadata, lineage, and discovery tooling (e.g., DataHub, Amundsen)
Exposure to streaming systems, observability, and data privacy compliance (e.g., GDPR)
Background in supporting AI/ML workflows and production-grade data pipeline
A Mission That Matters.
At OpenGov, public service is personal. We are passionate about our mission to power more effective and accountable government. Government that operates efficiently, adapts to change, and strengthens public trust. Some people say this is boring. We think it’s the core of our democracy.
Opportunity to Innovate
The next great wave of innovation is unfolding with AI, and it will impact everything—from the way we work to the way governments interact with their residents. Join a trusted team with the passion, technology, and expertise to drive innovation and bring AI to local government. We’ve touched 2,000 communities so far, and we’re just getting started.
A Team of Passionate, Driven People
This isn’t your typical 9-to-5 job; we operate in a fast-paced, results-driven environment where impact matters more than simply clocking in and out. Our global team of 800+ employees is united in our commitment to challenge the status quo. OpenGov is headquartered in San Francisco and has offices in Atlanta, Boston, Buenos Aires, Chicago, Dubuque, Plano, and Pune.
A Place to Make Your Mark
We pride ourselves on our performance-based culture, where every employee is encouraged to jump in head-first and take action to help us improve. If you have a great idea, we want to hear it. Excellent performance is recognized and rewarded, and we love to promote from within.
