Data Engineering & Analytics Senior Manager

Catch Coverage • Clearwater, FL

1d

About The Position

The Data Engineering & Analytics Senior Manager ensures Catch Coverage’s data is accurate, connected, and trusted across the business. Data comes from its call center, Business Process Outsourcing (BPO) operation, and distribution business, including calls, leads, enrollments, carrier commissions, agent licensing and contracting, and marketing spend. The role brings this information together so leaders can understand performance and make better decisions.

This is a hands-on leadership position responsible for setting the direction of the data platform, building and maintaining pipelines and data models, and managing a small team expected to grow with the function. The Senior Manager turns complex data into reliable reporting and forecasting for operations, sales, compliance, and finance, while protecting sensitive customer information.

The role is based in the Clearwater or Fort Lauderdale, Florida office. Candidates living within 50 miles of either office are required to work on-site there. Candidates outside that radius may be considered for remote work, subject to company approval and business needs; remote eligibility is not guaranteed. The position requires on-site availability in Fort Lauderdale or Clearwater Monday through Friday.

Requirements

• 7+ years in data engineering, analytics engineering, or a closely related role, including 2+ years leading or mentoring a data team and making architecture or technology decisions.
• Advanced, current Snowflake experience in data modeling, SQL optimization, RBAC, warehouse and workload management, and cost management.
• Advanced SQL and strong Python, with a track record of building and running production ETL/ELT pipelines and API integrations.
• Deep knowledge of data warehousing, dimensional modeling, data quality testing, observability, and cloud object storage.
• Working statistical competence in forecasting, segmentation, experimentation design, or predictive modeling applied to business decisions.
• Experience owning or materially influencing a cloud, software, or vendor budget.
• Ability to explain technical decisions and tradeoffs to non-technical executives, and to say no with a reason.
• Ability to work on-site in Fort Lauderdale or Clearwater, Monday through Friday.

Nice To Haves

• AWS experience, including S3, Lambda, Glue, EventBridge, and IAM.
• Experience with dbt or a comparable transformation framework.
• Experience with Airflow, Dagster, or Prefect.
• Experience with Git-based workflow and CI/CD for data.
• Contact-center, CRM, insurance distribution, lead-generation, or performance-marketing data experience; Medicare or Affordable Care Act (ACA) experience is a strong plus.
• Experience handling PHI and PII under HIPAA and working with compliance teams on CMS and TCPA reporting.
• Bachelor's degree in a technical or quantitative field, or equivalent practical experience.

Responsibilities

• Own architecture, build-versus-buy decisions, and standards across Snowflake, AWS, orchestration, transformation, and third-party tooling.
• Build and operate production ETL/ELT pipelines from REST APIs, cloud storage, CRM, Genesys Cloud, Retreaver, carrier and licensing/contracting sources, and book-of-business systems, including testing, monitoring, alerting, and documentation.
• Manage Snowflake operations, including role-based access, warehouse sizing, query performance, PHI and PII handling, and consumption cost control.
• Own incident response, including on-call and escalation procedures, root-cause analysis, and recovery runbooks.
• Build dimensional models and curated marts for agents, agencies, carriers, plans, leads, calls, enrollments, policies, and commissions.
• Deliver a semantic layer and analytics-ready datasets that power dashboards and controlled self-service.
• Produce call center volume and staffing forecasts, including Annual Enrollment Period and Open Enrollment Period seasonality, as well as commission and revenue forecasts.
• Support segmentation, attribution, experimentation, and predictive models such as lead scoring and agent attrition where they inform decisions.
• Lead, coach, and set priorities for the data team, and hire as the roadmap justifies.
• Maintain a written quarterly roadmap and intake process for new data requests.
• Partner in person with operations, sales, compliance, finance, and technology leaders to define requirements and drive adoption of the numbers.
• Own the data function budget for Snowflake, AWS, software, contractors, and vendors; forecast spend and bring renewal and investment recommendations to leadership.

Benefits

• Paid holidays (6)
• Paid time off
• Medical insurance with national plan options
• Dental insurance
• Vision insurance
• 401(k) with portion of company match
• Voluntary life and accidental death and dismemberment (AD&D) plans, including accident, critical illness, and hospital indemnity
• Employee assistance program
• Bereavement leave and jury duty pay

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed