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- Franklin, Tennessee, United States
- Franklin, Tennessee, United States
About
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, and delivering data files to outside vendors and clients.
Surface data gaps, inefficiencies, and opportunities through ongoing collaboration with operational stakeholders.
Team Leadership
Manage and develop a small team, beginning with one direct report and expected to grow to as many as five over the next year.
Set biweekly and quarterly priorities that align with the company’s broader data goals.
Establish standards for quality, documentation, and consistency across the team’s work.
Own hiring, onboarding, and performance management as the team grows.
Cross‑Functional Support
Support leadership and internal departments by making clean, well‑organized data accessible for reporting and analysis.
Lay the groundwork for downstream business intelligence and AI/ML capabilities by ensuring data is structured to support those use cases as the company evolves.
Qualifications
5+ years in a data engineering or analytics engineering role, with hands‑on experience building data pipelines, models, and warehouses.
2+ years formally managing or leading others, with comfort owning hiring, performance, and development decisions.
Strong SQL skills and direct experience with modern cloud data warehouse platforms (Snowflake, BigQuery, Redshift, or similar).
Working knowledge of ETL/ELT processes and modern transformation tooling (e.g., dbt).
Demonstrated ability to translate business needs into well‑modeled, durable data assets.
Strong communication skills and a track record of partnering effectively with non‑technical stakeholders.
Nice to Have
Experience supporting operational data flows in regulated or services‑heavy industries (legal, healthcare, financial services).
Familiarity with BI tooling (Tableau, Power BI, Looker) and how data infrastructure supports the BI layer.
Exposure to data science workflows – enough to support future data science hires and use cases.
Benefits
Private Health Care Plan (Medical, Dental & Vision)
Company HSA contributions for HDHP participants
Flexible Spending Accounts (Health & Dependent Care)
Company‑Paid Short‑Term Disability Coverage
Voluntary Long‑Term Disability, Life, AD&D, and Supplemental Coverage Options
401(k) Plan with Company Match
Paid Time Off (Vacation, Sick Time & Select Holidays)
Paid Parental Leave
Pay Disclosure The total base salary range for this role is $122,000 - $165,000 annually, with opportunity for a discretionary bonus. Final compensation will be determined based on skills and experience.
Work Authorization Applicants must be authorized to work in the United States without the need for employer‑sponsored visa support now or in the future.
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Languages
- English
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