Principal Product Manager, Data Products at iPipeline
Exton, PA 19341, USA -
Full Time


Start Date

Immediate

Expiry Date

20 Jul, 25

Salary

0.0

Posted On

20 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Business Intelligence, Product Management, Data Products, Computer Science, Information Technology, Analytics

Industry

Information Technology/IT

Description

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 word is exceptional - and we’ve created a place where our employees love to come to work, every single day.
Come join our team!

EDUCATION AND KNOWLEDGE:

  • Typically requires a bachelor’s degree in Business, Computer Science, Engineering, Information Technology, or related field, or international equivalent.
  • Typically requires 10+ years of experience in product management, with a focus on data products, analytics, or business intelligence.
    Benefits:
    We offer a competitive compensation and benefits package, opportunities for career growth, an employee stock purchase plan, 401(k), generous time off and flexible work/life balance, company-matched retirement packages, an employee wellness program, and an awards and recognition program – all in a creative, fast-growing, and innovative company.
Responsibilities
  • Product Strategy & Vision: Develop and drive the long-term strategic vision for a portfolio of data products, ensuring they align with business objectives and customer needs. Identify market opportunities and define data-driven solutions that enhance decision-making, operational efficiency, and competitive positioning. Create and maintain a roadmap for data products, prioritizing features based on customer impact, business value, and revenue potential.
  • Customer & Market Insights: Research to understand customer challenges related to data and analytics. Partner with sales, customer success, and marketing to gather feedback and improve data product adoption. Monitor industry trends and competitive landscape to identify emerging opportunities for innovation.
  • Product Development & Execution: Lead the end-to-end product development process for analytics, reporting, and data-driven insights solutions. Work within Snowflake to build scalable data solutions that support predictive analytics, AI-driven insights, and business intelligence. Collaborate with engineering, data science, and UX teams to define product requirements and ensure seamless execution. Define user personas and use cases for data products, ensuring they address key industry pain points. Ensure data products meet regulatory and compliance requirements, particularly for insurance and financial services.
  • Cross-Functional Collaboration & Communication: Work closely with data engineers, data scientists, and analytics teams to develop scalable, high-impact solutions. Partner with sales and marketing to position and promote data products effectively. Engage with external partners and customers to understand data needs and drive adoption.
  • Metrics & Performance: Define and track key success metrics such as customer engagement, adoption rates, and revenue-driving business impact. Use a data-driven approach to iterate on product features and improve customer experience. Ensure alignment between data products and broader corporate goals, optimizing for market expansion and profitability.
    Qualifications:
Loading...