Skip to main content

OptiTalent · Job Finder

Data jobs at Protective

5 open roles read nightly from companies’ own hiring pages. Each one links to the original ad.

1–5 of 5 jobs

SortNewestHighest pay
  • Protective · Birmingham, Alabama, United States +1

    On-siteFull-timeExecutive$275K – $350K a yearData & AI

    Provide independent actuarial and risk oversight for APD’s asset protection products, including VSC, GAP, and ancillary offerings; establish credibility as APD’s independent actuarial voice; and preserve professional skepticism while escalating material concerns.; Oversee…

  • Protective · Nebraska, United States

    RemoteFull-timeEntry level$95.5K – $175K a yearData & AI

    Serve as the primary ERM partner supporting Protective’s P&C businesses, including the Asset Protection Division and the Excess and Surplus line of business.; Provide constructive, independent challenge of business assumptions, actuarial analyses, risk assessments, and…

  • Protective · Birmingham, Alabama, United States +1

    RemoteFull-timeLead / staff$109.5K – $167.8K a yearData & AI

    Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it.; Own dimensional design — grain, natural and surrogate keys, Type 2 history, facts, bridges, and…

  • Sr Data Engineer

    7 weeks ago

    Protective · Birmingham, Alabama, United States +1

    RemoteFull-timeSenior$84K – $128.7K a yearData & AI

    Design, develop, and maintain production data pipelines on Databricks using Python, SQL, Apache Spark, and Delta Lake.; Build Bronze-layer ingestion that reliably captures data from APIs, relational databases, flat files, cloud storage, and SaaS platforms — using dlt (dltHub)…

  • Protective · Birmingham, Alabama, United States +1

    HybridFull-timeLead / staff$124.5K – $180K a yearData & AI

    Lead the design and delivery of production ML and GenAI systems on Azure Databricks — from problem framing and data sourcing through deployment, monitoring, and retraining.; Set technical direction and standards for the ML lifecycle — experimentation, feature engineering,…

Updated 07 Nov 2026 10:21 UTC from the OptiTalent job library.