Senior Product Manager – Data and Analytics

Job Category: Product Manager
Job Type: Full Time
Job Location: Canada
Company Name: D2L

We are looking for a Senior Product Manager to join our team

Responsibilities:

  • Develop and maintain the product and feature roadmap for Analytics products that consider business viability, value to the customer, feasibility and usability in collaboration with engineering and design;
  • Solicit inputs for your roadmap by collaborating with engineering, marketing, sales, customer engagement and other stakeholders that addresses pressing customer requirements;
  • Work closely with the leadership and strategy teams to translate the organizational strategy, business/market requirements, product backlog into a product roadmap;
  • Effectively translate the product vision and roadmap into product requirements for each initiative, including functional needs, supported use cases/workflows constraints, and success criteria;
  • Lead the complete product development lifecycle in an agile environment from developing use cases to product delivery in market, to post release and end of life;
  • Collaborate with engineering, design, functional areas with senior management or executives to ensure unit objectives are met;
  • Demonstrate the ability to drive product innovation, advocate for product direction and build new industry-leading analytics products or cloud services;

Education and/or Job Knowledge or Skill Requirements:

We are looking for a highly motivated, results-driven strategic thinker, who has strong business and technical skills. You should have demonstrated expertise in Product Management including product planning, market research, competitive analysis, product positioning, enablement, evangelism and product marketing.

  • 3-5 years’ experience in software product management;
  • Strong interest in Education and learning analytics. Educational space experience an asset but not essential;
  • In-depth experience in at least one of the following areas:
  • Leveraging Big Data and Data Warehousing tools and techniques to generate business value
  • Using Business Intelligence (Reporting, Basic Analytics, Predictive Analytics and Prescriptive Analytics) to provide actionable insights and stories to business users

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