Manager

  • 39037
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Feb 3, 2021
Insurance
RESPONSIBILITIES
  • Build a comprehensive product strategy for data science.
  • Close collaboration with our business stakeholders across different areas of the business in building a strategy focused on driving automation, growth and profitability.
  • Lead a team of product managers in developing and delivering on the product strategy.
  • Possess an in-depth understanding of the insurance business and internal business processes across focused strategic areas.
  • Drive discussions, engage business partners and identify areas of opportunity for data science.
  • Be able to develop compelling business cases that show expected costs and benefits with a clear understanding of return on investment.
  • Focus on the customer journey, simplicity and ease of doing business throughout all phases of discovery, strategic planning and implementation.
  • Have a good technical understanding of implemented solutions, allowing you to balance technical requirements with business priorities and develop roadmaps that take into account complexity of implementation and technical debt remediation.
  • Regularly monitor and report on project outcomes, performance trends and insights in order to measure effectiveness of the implemented solutions.
  • Build a product practice within data science and collaborate across teams to build a cohesive understanding of product management best practices across the company.
QUALIFICATIONS
  • 6+ years of industry experience directly involved in leading product delivery.
  • 2+ years in a leadership role in which you have led other product managers and a product management practice.
  • Great leadership skills coupled with expertise in the field of product management. The ideal candidate has a strong understanding of how to turn business needs into compelling technical solutions with a keen eye for customer outcomes and user experience.
  • A proven track record in successfully delivering end-to-end products in an Agile environment.
  • Excellent communication skills with the ability to influence, collaborate and drive adoption.
  • Ability to work closely with technical teams to develop technical solution strategies.
  • Experience working in the Insurance industry and developing products in the areas of underwriting, pricing, claims, fraud or data science.
  • Experience with artificial intelligence or Machine Learning methodologies.