Data Governance & Platform Manager

### About LawnStarterhttps://github.com/lawnstarter/brain/blob/main/docs/job-descriptions/data-governance-platform-manager.md#about-lawnstarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. ### About Analytics at LawnStarterhttps://github.com/lawnstarter/brain/blob/main/docs/job-descriptions/data-governance-platform-manager.md#about-analytics-at-lawnstarter We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase. Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for. ### The Rolehttps://github.com/lawnstarter/brain/blob/main/docs/job-descriptions/data-governance-platform-manager.md#the-role You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build. **What makes this role different:** - **You're first.** Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards. - **Whole-stack ownership.** Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it. - **A live migration to shape.** Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later. ### What You'll Ownhttps://github.com/lawnstarter/brain/blob/main/docs/job-descriptions/data-governance-platform-manager.md#what-youll-own - **Data quality and freshness** - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen. - **Data lineage and impact analysis** - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours. - **Lightdash** - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane. - **The semantic layer** - we just shipped it for our most c…