ZipLiens
legal
Data&AnalyticsManager
Neural analysis suggests this role is
optimal for Mid candidates.
“Data & Analytics Manager at ZipLiens. Skills: Data modeling, Data pipelines, Team leadership, Stakeholder management. Design and build data models. Develop and maintain data quality frameworks”
What You'll Achieve.
building the data foundation that powers the next generation of applications and analytics; set the stage for broader business intelligence and AI/ML capabilities; ensure data is structured to support those use cases
Industry & Context.
translate business needs into well-modeled, durable data assets; Surface data gaps, inefficiencies, and opportunities
Applicants must be authorized to work in the United States without the need for employer-sponsored visa support
What They're Looking For.
Must Have
5+ years in a data engineering or analytics engineering role, 2+ years formally managing or leading others, SQL skills, direct experience with modern cloud data warehouse platforms, Working knowledge of ETL/ELT processes, modern transformation tooling, Demonstrated ability to translate business needs into well-modeled, durable data assets, communication skills, track record of partnering effectively with non-technical stakeholders
Nice to Have
Experience supporting operational data flows in regulated or services-heavy industries, Familiarity with BI tooling, Exposure to data science workflows
What You'll Do.
Design and build data models
Develop and maintain data quality frameworks
Own decisions about data tooling
Partner with Operations teams
Support Operations in data file delivery
Manage and develop a team
Establish standards for quality
Support leadership and departments
Lay groundwork for BI and AI/ML
How You'll Work.
Team & Collaboration
Partner closely with Operations teams; Collaborate with operational stakeholders; Support leadership and internal departments; Partner effectively with non-technical stakeholders
Communication Scope
communication skills; partnering effectively with non-technical stakeholders
Process & Methodology
Set biweekly and quarterly priorities
Full Job Description
Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation that powers the next generation of applications and analytics for the legal industry. After several years of high growth, Zipliens has become a leader in lien resolution, a process required in most personal injury settlements. The software we build supports the lien resolution work we perform on behalf of law firms, helping them operate more efficiently while ultimately enabling the injured parties they service to access settlement funds more quickly and completely — giving our work a clear, real-world impact beyond the technical challenges. The Data & Analytics Manager will lead the foundational data work powering our Mass Torts and Single Event Operations teams, and to set the stage for broader business intelligence and AI/ML capabilities across the company. You'll spend most of your time hands-on: building the pipelines that bring data together from across our source systems, designing the data warehouse and models that make that data usable, and developing the quality frameworks that keep what the business relies on accurate and complete. You'll partner closely with Operations to translate their evolving data needs into reliable assets, while building and leading the data team as it grows. **Requirements** ### Responsibilities: Data Foundation & Quality * Design and build the data models, structure, and architecture needed to support Operations workflows and future analytics use cases. * Develop and maintain data quality frameworks — validation, testing, and monitoring — so the data the business relies on is accurate and trusted. * Own decisions about data tooling, modeling approaches, and how the data is organized over time. Operations Partnership * Partner closely with our Mass Torts and Single Event Operations teams to understand their data needs and translate them into well-structured, reliable data assets. * Support Operations in gathering, quality-checking, an
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