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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Data (Remote) - **Company:** Rocket Lawyer - **Location:** North Charleston, SC, United States (Remote available) - **Experience:** Expert - **Salary:** $204,867 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Continuous Integration, Customer Data Management, Information Engineering, Data Files, Data Infrastructure, Data Warehousing, Automation of Marketing, SQL Databases, Technical Data Management Systems, Usage Analysis, Google Cloud, Snowflake, Apache Spark, Data Strategy, Data Management, Tools for Reporting, Front End Software Development, Marketplace, User Identification, Databricks - **Published:** November 14, 2026 - **Apply:** https://www.careerbuilder.com/job-details/head-of-data-remote-north-charleston-sc--0a430c02-053d-439c-8596-d7f59b9609a4 ## About the Role Small Business, Legal, Attorney, Ecosystems, Artificial Intelligence (AI), Analysis Skills, Data Management, Cloud Computing, GCP (Good Clinical Practices), Data Sets, * A platform migration you led end to end: the plan, the cutover, and the retirement of what it replaced. * Deep, current knowledge of modern data platforms: Databricks or Snowflake (ideally both), dbt, Spark, SQL, orchestration, and streaming on a major cloud, preferably GCP. * A record of understanding of the instrumentation needed for online businesses and the governance necessary for trusted insights across multiple self service teams. * Practical experience preparing data for AI and machine learning (governed, well-described data for retrieval, models and agents), and fluency using AI in your own work. * Communication skills and judgment to actively manage priorities across different teams and identify the common solutions to address multiple stakeholder needs. * A leader people want to work for: you develop managers and engineers, build teams that last, and lead with humility. Strongly preferred * Experience in a PE-backed or similarly performance-driven software company. * Customer data platforms, identity resolution or graph-based customer models. * Regulated or sensitive data domains, such as legal, financial services or healthcare. * Marketplace or two-sided business models., Actual compensation is determined by a variety of factors specific to each candidate, including but not limited to skills, relevant experience, certifications, job level, and geographiclocation. In addition to base salary, this position may be eligible for variable compensation and equity awards, depending on the role and level. ## Description * The data platform and its modernization. Target architecture, platform and vendor choices, engineering standards, and the retirement of legacy pipelines. * Data the business can trust. Governance, metric definitions, quality and lineage, so the same question gets the same answer whoever asks, on any tool, with the rigor that customer data about legal needs requires. * The instrumentation standard. Deep experience with what good front-end and product event tracking looks like, and the technical ownership to fix instrumentation bugs , at the source. * The tools the business runs on. Our reporting and analytics tools, including AI-native analytics, Product Analytics, Customer Data Platform, Marketing Automation. * Self-service across the company. The data, tools and enablement that let Finance, Growth, Marketing, Product and other teams do their own analysis and make daily decisions. * Customer data that personalizes the product. A connected customer view that powers personalized experiences across all customer touchpoints,., * Set the multi-year data strategy and target architecture, and keep it current as the business changes. * Own platform and vendor decisions across warehouse, lakehouse, orchestration, transformation, quality, analytics and activation tooling. * Partner with the CTO and engineering leaders on how product services emit, own and share data. Run the platform * Lead modern cloud data infrastructure, including data warehouse, lakehouse, and data engineering platforms * Establish engineering standards for data: versioned and tested transformation models, CI/CD, observability and on-call. * Set the standard for front-end and product instrumentation, and own fixing tracking issues at the source. * Make real-time and batch pipelines reliable, observable and cost-efficient, with platform spend managed against a cost model. Make data useful * Enable self-service across Finance, Growth, Marketing, Product, Customer Service and Legal operations, so teams are empowered to do their own reporting and analysis on governed data to get trusted answers. * Own event, property and metric values and definitions so functional teams are able to self service consistent answers . * Partner with business owners to shape their data requirements. Fold them into one roadmap that gives every leader what they need to run their business. * Deliver the customer data that personalizes the product experience, not just the data that reports on it. Govern it well * Define data ownership, classification, access and retention, with Security, Privacy and Legal. * Set the common standards for layering, access and definitions that product teams follow when they build their own domain pipelines. * Meet our obligations under US state privacy law, UK GDPR and Brazil's LGPD. * Support reporting that underpins attorney quality oversight on our marketplace. Build the team * Hire, develop and retain a strong team: grow the people we have, add the skills we don't yet have, and decide where partners help. * Make the team AI-fluent, using AI in how it builds, tests and supports our data. * Serve as the technical data partner to our company-wide AI enablement work, and represent data on our Enterprise AI Council., * Real ownership. You set the architecture and lead the modernization of our data platform, rather than maintaining someone else's. * A product that matters. Most people cannot afford a lawyer when they first need one. Our data helps them get the right help at the right time. * AI at the center. Your platform powers AI legal guidance, an attorney marketplace and the internal AI tools that are changing how we work. * High visibility. You partner directly with the CTO and the executive team, and represent data on our Enterprise AI Council.