Data Engineering & Analytics Senior Manager

Catch Coverage, LLC•Clearwater, FL

1d•$175,000 - $190,000

About The Position

The Data Engineering & Analytics Senior Manager is responsible for ensuring Catch Coverage’s data is accurate, connected, and trusted across the business. The company’s call center, Business Process Outsourcing operation, and distribution business generate data on calls, leads, enrollments, carrier commissions, agent licensing and contracting, and marketing spend. This role brings those sources together to help leaders understand performance and make informed decisions. This is a hands-on leadership role that sets the direction for the data platform, builds and maintains its pipelines and data models, and manages a small team that is expected to grow with the function. The role turns complex data into reliable reporting and forecasting for operations, sales, compliance, and finance while protecting sensitive customer information. The position is based in the Clearwater, Florida, or Fort Lauderdale, Florida, office. Candidates living within 50 miles of either office are required to work onsite. Candidates living outside that radius may be considered for remote work, subject to company approval and business needs; remote eligibility is not guaranteed.

Requirements

At least 7 years of experience in data engineering, analytics engineering, or a closely related role, including at least 2 years leading or mentoring a data team and making architecture or technology decisions.
Advanced, current Snowflake experience, including data modeling, SQL optimization, RBAC, warehouse and workload management, and cost management.
Advanced SQL and strong Python skills, with a track record of building and operating 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 onsite 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 workflows and CI/CD for data.
Contact-center, CRM, insurance distribution, lead-generation, or performance-marketing data experience; Medicare or Affordable Care Act 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, with 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 data marts for agents, agencies, carriers, plans, leads, calls, enrollments, policies, and commissions.
Deliver a semantic layer and analytics-ready datasets to 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 a decision.
Lead, coach, and set priorities for the data team, and hire as the roadmap justifies.
Maintain a written quarterly roadmap and an 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, including Snowflake, AWS, software, contractors, and vendors; forecast spend and provide renewal and investment recommendations to leadership.