Head Of Data Product Engineering

Shelter Lending Services LLC

Coppell, TX, United States
Not specified; not specified; medical, dental, vis...
Onsite
Data-as-a-product strategy execution
Genai-enabled data products launch
Enterprise data platform architecture
Shelter Lending Services LLC is seeking a Head of Data Product Engineering to lead the transformation of its data ecosystem into a modern, AI-powered platform aimed at enhancing lending decisions and operational efficiency. The role requires extensive experience in data engineering and product-centric leadership within regulated financial environments

Job Summary

  • The role involves leading the transformation of the data ecosystem into a modern, scalable, and AI-powered platform for faster lending decisions.
  • Candidates must have proven success launching GenAI-enabled data products in hyperscaler marketplaces or enterprise production environments.
  • Benefits include medical, dental, vision insurance, a 401(k) with employer match, paid parental leave, and volunteer time off.

Matching Summary

Match Score: 85

Shelter Lending Services LLC is seeking a Head of Data Product Engineering to lead the transformation of its data ecosystem into a modern, AI-powered platform aimed at enhancing lending decisions and operational efficiency. The role requires extensive experience in data engineering and product-centric leadership within regulated financial environments.

Salary

Not specified; Not specified; Medical, dental, vision, 401(k), parental leave, pet insurance, tuition reimbursement

Skills & Requirements

Must-have

  • Data-as-a-product strategy execution
  • GenAI-enabled data products launch
  • Enterprise data platform architecture
  • Regulatory compliance HMDA FCRA CFPB
  • Global team leadership and scaling
  • Modern data stack expertise Databricks Snowflake

Nice-to-have

  • Culture of experimentation and agility
  • C-suite influence and storytelling
  • Knowledge graphs and vector search integration
  • Cross-functional partnership with risk teams
  • Rapid prototyping and iterative innovation

Key Requirements

  • Advanced degree in Computer Science or related field
  • 15+ years experience leading enterprise data initiatives
  • Experience partnering with regulatory and risk teams
  • Proven ability to lead distributed technical teams

Work Rights

Not specified

Tailored Resume

Cover Letter