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Position Details: Lead Product Associate (822038FI)

Location: Beaverton, OR
Openings: 1
Job Number:



Must have: Experience with Price Analysis, Forecasting, Price Elasticity and Analytics.


Works independently with minimal guidance from Product Management outside of prioritization; works on a team which supports a complex, highly integrated, or higher risk product with multiple customers; may help stand-up a new product; may work on more than one product

  1. Be a Product advocate; can describe the Product, its value, how it works, how it is adopted, speak to upcoming changes and tailor the information to the audience
  2. Understand the Product Roadmap and use knowledge of future features to improve current stories and tests
  3. Assist in customer adoption through personal interaction and written documentation
  4. Identify, escalate, and remove roadblocks, triage defects, and provide clarity from customers on issues where appropriate
  5. Work directly with customers and team members to capture details of Feature requirements, understand use cases, collect samples, and find tests; apply knowledge of Product and business drivers to enhance work
  6. Write and refine stories for clarity, business value, and acceptance criteria with guidance from Product Management
  7. Work with Team to translate any internal "Enablers" into value driven stories
  8. Assess, provide input and potential improvements to Product Owner on impact to business partners' current processes and their current use of the Product
  9. Conduct feature mapping, gap analysis, data flow to help assess business implications of feature, tool, or platform
  10. Conduct analysis to determine how features are performing, level of customer satisfaction, and provide innovative suggestions for improvements
  11. Highlight risks, escalate impacts and assist in developing and analyzing possible innovative solutions for complex issues
  12. Conduct Product demos


·         Typical Office: This is a typical office job, with no special physical requirements or unusual work environment.

·         Familiarity with SQL, AWS & SAS


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