Manager, Data Operations

About Us

Regrid is building something unique and significant: a long term, independent service dedicated to understanding land parcels on Planet Earth. You can call us a spatial data company if you’d like.

Founded in Detroit, Michigan in 2009, we spent our early years helping Detroiters use parcel data to combat challenges of widespread vacancy, blight, and foreclosure. We then became the first team to deliver 100% parcel coverage of all property and geography in the United States, and have stepped into global coverage.

We passionately believe in our mission — "We are the parcel people — bringing the actionable unit of geography to everyone" — and this shows up for us everywhere: data delivery methods that reach every type of customer from individuals to the largest enterprise; our Data With Purpose program for nonprofits and educators, and our commercial partnership with Esri, the world’s leading provider of mapping software.

Our mission is to build the world’s most trusted parcel and land-use intelligence platform. At the core of this goal is ensuring parcel data is current, authoritative, analytically sound, and operationally ready at national and global scale.

The Manager, Data Operations leads Regrid’s parcel and geospatial data operations function, owning the end-to-end lifecycle of upstream data assets — from sourcing strategy and acquisition to analytical validation and production readiness. This role ensures data is reliably acquired from authoritative sources, delivered on schedule, and validated for quality and freshness before downstream processing by the Data Platform team.

Sitting at the intersection of strategy, operational rigor, and technical validation, this role leads a team of Data Acquisition Specialists, Data Processing Analysts, and Parcel Prospectors responsible for regional parcel portfolios, configuration-driven data management, and ensuring automated pipeline outputs are correct, interpretable, and aligned with real-world conditions. While core pipeline engineering is handled by the Data Platform team, this role is accountable for the operational quality and readiness of all parcel data products.

The Manager, Data Operations establishes processes, controls, and performance standards to ensure data coverage, currency, schema consistency, and analytical reliability. They partner with the geospatial Data Sourcing function to evaluate delivery mechanisms and update cadences, and with Analytics and Product teams to ensure outputs meet customer expectations.

This is not a procurement or engineering role. It requires technical fluency in geospatial data structures, SQL, and configuration-driven workflows (e.g., YAML, dbt), operational discipline, and people leadership. The ideal candidate combines analytical depth, process rigor, and team development experience to build a scalable data operations function that underpins Regrid’s national parcel intelligence platform.

• Define and execute sourcing strategies for parcel and related geospatial datasets, aligned to company and product priorities
• Establish update cadences, currency targets (e.g., ≥95% data freshness) and coverage standards at national and global scale in collaboration with the Product Department
• Own the operational health, freshness, and quality standards for Regrid’s parcel data portfolio
• Maintain a sourcing roadmap that drives improvement in data coverage or acquisition efficiency year-over-year
• Responsible for finding better, more robust data sources. Identify and evaluate new data endpoints, APIs, bulk file delivery mechanisms, and automation opportunities

• Lead and develop team members responsible for regional parcel portfolios
• Establish SLAs, quality thresholds, and documentation standards across sourced and operational datasets
• Oversee workflows spanning intake, validation, configuration, and readiness handoff to downstream teams
• Track and report on operational KPIs to achieve data accuracy and timely delivery across all portfolios
• Develop dashboards, reporting frameworks, and controls that ensure visibility into portfolio health
• Drive reductions in data exceptions or processing errors annually through operational improvements.

• Evaluate source data structures, schemas, file formats, and delivery mechanisms for reliability and scalability
• Assess APIs, SFTP endpoints, bulk files, and extraction methods prior to operational adoption