Product Manager

  • 37708
  • Life - Data Science
  • |
  • Massachusetts, United States
  • |
  • Jul 9, 2020
Insurance
RESPONSIBILITIES
  • Lead a cross-functional product team with a long-term focus on creating and measuring value, setting strategy, vision, prioritizing work, and aligning resources.
  • Dive deep into business processes with the goal of improvement and driving change with data.
  • Engage with all levels across the enterprise.
  • Serve as a conduit of knowledge between functional and technical teams.
  • Communicate regularly with individuals both within and outside of our team.
  • Navigate ambiguity to deliver results.
  • Define metrics to quantify value and ideate to find new ways of delivering value with the product.
  • Productize models, platforms, dashboards etc., and influence their utilization throughout the enterprise.
  • Develop plans for continuous service to support implementation of products.
  • Act as a champion for our capabilities by communicating their benefits and how they can be implemented.
  • Take ownership of resolving any outages, including communication with stakeholders, management of resources, ensuring resolution, and continuous improvement.
QUALIFICATIONS
  • Bachelor’s Degree, preferably in Business/Finance or an analytical field such as Economics, Mathematics, Engineering, Computer Science.
  • 5 years of product management experience or complex, cross functional, strategic based project experience.
  • Experience in working in partnership with a technical role, such as an engineer, developer, data scientist, etc.is a plus.
  • Experience leading cross functional product/ project teams to execute and achieve success in complex and high value deliverables.
  • Outstanding communication skills, including handling executive communication.
  • Ability to influence others.
  • Experience in working in an agile work environment and with Jira and Confluence preferred.
  • Experience in the cyber security and fraud space preferred.
  • Experience building, utilizing, or maintaining an enterprise data asset preferred.