Data & Analytics Manager (Hybrid)

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., 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 (5) 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.

Do you have experience in Team management?, * 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., * 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.

Pulled from the full job description

• Paid parental leave
• AD&D insurance
• Parental leave
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance, * 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.