Executive Lead, Data Products & Engineering

Plymouth Rock Assurance Corporation

Boston (MA)

On-site

USD 180,000 - 263,000

Full time

6 days ago
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Benefits offered by this job

4 weeks PTO + 10 holidays
Boston location gym onsite
Tuition Reimbursement
Health insurance from Day 1
401(k) with matching

Job summary

Plymouth Rock Assurance Corporation seeks a Director of Data Products & Engineering to lead the enterprise data lake on AWS, owning ingestion, transformation, and data delivery. You will drive velocity while ensuring high fidelity, low latency, and comprehensive governance to support BI, ML, and AI data services.

You will mentor senior engineers, define the data roadmap, and collaborate with Data Governance & Architecture to align standards across the organization.

Qualifications

  • Bachelor-level degree in a relevant field is required.
  • Master's degree preferred in data-related disciplines.
  • 7+ years in data management/engineering; 3+ years in leadership.

Responsibilities

  • Lead end-to-end ingestion, transformation, and delivery of data across the lake and warehouse.
  • Mentor engineers, unblock issues, and drive delivery velocity for AI data services.
  • Ensure data governance, quality, and accessibility across BI/ML/AI use cases.
  • Partner with Data Governance & Architecture to align with standards.

Skills

Data leadership
Data engineering
AWS data lake
AI/GenAI data needs
Cross-functional collaboration
Communication

Education

Bachelor's degree in data science, Computer Science, Engineering, Actuarial Science, Business Administration, or a related field
Master's degree (MS in Data Analytics, Artificial Intelligence, or Information Management) preferred

Tools

S3
Glue
EMR
Lake Formation
Athena
Kinesis
RDS/Aurora

Job description

Plymouth Rock Assurance Corporation seeks a Director of Data Products & Engineering to lead the enterprise data lake on AWS, owning ingestion, transformation, and data delivery. You will drive velocity while ensuring high fidelity, low latency, and comprehensive governance to support BI, ML, and AI data services.

You will mentor senior engineers, define the data roadmap, and collaborate with Data Governance & Architecture to align standards across the organization.

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