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Role Summary

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HIGHLIGHTS

Director-level data engineering role supporting P&C Business Insurance pricing (GL, Property, CMP, Specialty) in Hartford, CT. Lead and grow an engineering team to design datasets, implement MLOps, and deliver data solutions that power actuarial and data science pricing models. Drive data quality, governance, and automation while partnering with pricing/product teams. Director role at a major insurer with responsibility for team processes and cross-functional influence.

JOB DESCRIPTION SUMMARY

  • Lead BI Data Engineering for P&C pricing across GL, Property, CMP, and Specialty
  • Design and implement datasets, ETL and MLOps to support pricing models
  • Manage and grow an engineering team; establish processes and governance
  • Present analysis to influence management decisions and partner with actuarial
  • Location: Hartford, CT; Director-level technology role at an insurer

DOMAIN EXPERTISE

  • data engineering
  • pricing model data support for P&C lines
  • MLOps implementation
  • data governance and data quality
  • cloud data platform experience

KEY REQUIREMENTS

  • Bachelor's degree in STEM or equivalent training (required)
  • 5+ years of data engineering or equivalent experience
  • 2+ years of people management experience
  • Advanced knowledge of cloud platforms, data tools, and programming
  • Experience implementing MLOps and data governance for analytics

TECH STACK

  • No tech stack specified
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Role Summary

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HIGHLIGHTS

Director-level data engineering role supporting P&C Business Insurance pricing (GL, Property, CMP, Specialty) in Hartford, CT. Lead and grow an engineering team to design datasets, implement MLOps, and deliver data solutions that power actuarial and data science pricing models. Drive data quality, governance, and automation while partnering with pricing/product teams. Director role at a major insurer with responsibility for team processes and cross-functional influence.

JOB DESCRIPTION SUMMARY

  • Lead BI Data Engineering for P&C pricing across GL, Property, CMP, and Specialty
  • Design and implement datasets, ETL and MLOps to support pricing models
  • Manage and grow an engineering team; establish processes and governance
  • Present analysis to influence management decisions and partner with actuarial
  • Location: Hartford, CT; Director-level technology role at an insurer

DOMAIN EXPERTISE

  • data engineering
  • pricing model data support for P&C lines
  • MLOps implementation
  • data governance and data quality
  • cloud data platform experience

KEY REQUIREMENTS

  • Bachelor's degree in STEM or equivalent training (required)
  • 5+ years of data engineering or equivalent experience
  • 2+ years of people management experience
  • Advanced knowledge of cloud platforms, data tools, and programming
  • Experience implementing MLOps and data governance for analytics

TECH STACK

  • No tech stack specified

Job Overview

Salary
$139k - $230k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Director-level data engineering leader with 5+ years in data engineering and 2+ years managing teams, experienced in P&C pricing model support, MLOps, cloud platforms, and data governance.

Benefits

Health Insurance401(k) PlanHigh 401(k) MatchGenerous VacationWellness ProgramAnnual BonusVolunteering Program
Shortlist Forming
Closing Soon
103d
103 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

Job Overview

Salary
$139k - $230k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Director-level data engineering leader with 5+ years in data engineering and 2+ years managing teams, experienced in P&C pricing model support, MLOps, cloud platforms, and data governance.

Benefits

Health Insurance401(k) PlanHigh 401(k) MatchGenerous VacationWellness ProgramAnnual BonusVolunteering Program
Shortlist Forming
Closing Soon
103d
103 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

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