Manager, Data Engineering

Overview

As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry’s largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience – from proposal to commission– so they can help better secure the financial futures of their clients.

At iPipeline, you’ll play a major role in helping us to provide best-in-class, transformative solutions. We’re passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion.

We’re proud that we’ve been recognized as a repeat winner of various industry awards, demonstrating our excellence and highlighting us as a top workplace in both the US and the UK. We believe that the culture we’ve built for our nearly 900 employees around the world is exceptional – and we’ve created a place where our employees love to come to work, every single day.

Founded in 1995, iPipeline operates as a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500®, and Fortune 1000® indices. iPipeline is a leading global provider of comprehensive and integrated digital solutions for the life insurance and financial services industries in North America, and life insurance and pensions industries in the UK. We couple one of the most expansive digital and automated platforms with one of the industry’s largest data libraries to accelerate, automate, and simplify various applications, processes, and workflows – from quote to commission – with seamless integration.

Our vision is to help everyone achieve lasting financial security by delivering innovative solutions that connect, simplify, and transform the industry.

iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status. We are committed to building a supportive and inclusive environment for all employees.

This is an office-based position.

Job Summary:

• Leadership & Strategy:
  Translate organizational data strategy into execution plans; contribute to roadmap development and manage team-level priorities and budgets.
• Delivery Oversight:
  Ensure timely delivery of data lakes, warehouses, and streaming solutions that meet performance, security, and reliability standards.
• Team Management:
  Hire, coach, mentor, and develop data engineering teams; foster a collaborative and data-driven team culture.
• Data Governance & Quality:
  Ensure consistent application of data governance, quality, and security frameworks across owned teams.
• Stakeholder
  
  Collaboration:
  
  Partner with product managers, analytics leaders, and business stakeholders to align requirements and manage expectations.
• Innovation:
  Evaluate new tools and techniques within team scope and recommend improvements to platforms and processes.
• Operational Excellence & Reliability:
  Ensure operational stability of owned platforms; oversee incident response and remediation.
• Financial & Vendor Management:
  Manage team-level budgets and cloud usage; support vendor interactions.
• Metrics, Risk & Compliance Management:
  Track KPIs related to delivery, reliability, and quality; manage risks within assigned scope.

• Data Modeling & Enablement:
  Working knowledge of analytical data modeling techniques (e.g., dimensional, domain-oriented models) and how data structures support reporting, analytics, and downstream data consumers.
• Data Engineering Foundations:
  Strong understanding of modern data lake and warehouse architectures, ETL/ELT pipelines, and cloud-based data platforms.
• Cloud Platforms:
  Experience designing, building, or…