About The Position

Is both business and technical savvy with the leadership skills and gravitas to influence direction and work collaboratively across the organization. Is well-versed in data governance, protection, and privacy1 Is inquisitive and curious … gets excited about solving problems Is comfortable working autonomously (in support of a function or BU) but with strategic direction from the center (the Data COE) Is always thinking how the data can be monetized and/or differentiate Sysco in the marketplace. Will lead a team of ~ 5-7+ but deal with a much larger stakeholder group. Extended team of shared engineers, architects, data scientists and functional analysts will be much larger and project dependent.

Requirements

  • 8+ years of experience – 3-5 years as Product Owner, preferably in Data Analytics; or Sysco relevant experience
  • BA/BS - Business, Math, Statistics, Analytics
  • Is well versed in statistics, mathematics, data science but also understands business models, finances and data security / compliance.
  • Understands the standard data processes and can teach and coach the organization to emulate those concepts in both critical thinking and in how they report and analyze their data.
  • Has the appropriate / relevant experience and/or educational background.
  • English, Bilingual a plus

Nice To Haves

  • 5-7 years as Product Owner, preferably in Data Analytics, or Sysco relevant experience
  • MBA - Business, Math, Statistics, Analytics
  • Statistics, Analytics, Data Science

Responsibilities

  • Break down the product vision into actionable user stories, prioritize the backlog, and ensure the development team delivers incrementally.
  • Act as the primary point of contact for the POD facilitating communication between the team and Product Manager to clarify requirements and resolve roadblocks.
  • Manage POD team and capacity– ensuring a collaborative and business-aligned deliverable.
  • Develop strategy to better leverage the capabilities and analytics while rationalizing the reports and further cleansing the data.
  • Assist in defining and developing KPIs that are focused on business outcomes and are predictive and prescriptive in nature.
  • Build out the data catalog and work with Data Stewards to ensure proper data quality and lineage.
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