Senior Product Owner - Business Intelligence Center at Sysco
Houston, TX 77001, USA -
Full Time


Start Date

Immediate

Expiry Date

01 Dec, 25

Salary

0.0

Posted On

01 Sep, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Analytics, Data Analytics, Critical Thinking, English, Finances, Data Science, Mathematics, Statistics

Industry

Information Technology/IT

Description

Job Summary:

  • Is both business and technically 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 (Global Data and Analytics)
  • Is always thinking about 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.The extended team of shared engineers, architects, data scientists, and functional analysts will be much larger and project dependent.

Duties and 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, business stakeholders and SMEs, and the product manager to clarify requirements and resolve roadblocks.
  • Manage POD team and capacity, ensuring a collaborative and business-aligned deliverable.
  • Develop a strategy to better leverage the capabilities and analytics while rationalizing the reports and enhancing insights.
  • Assist in defining and developing KPIs that are focused on business outcomes and are predictive and prescriptive in nature.
  • Work with data scientists and ML Ops team members to influence AI solution strategy and translate output to drive business comprehension, feedback collection, and solution adoption.
  • Design experiments and execute them through the team to evaluate and measure the impact of prioritized initiatives.

EDUCATION REQUIRED:

BA/BS - Business, Math, Statistics, Analytics

EDUCATION PREFERRED:

MBA - Business, Math, Statistics, Analytics

EXPERIENCE REQUIRED:

8+ years of experience – 3-5 years as Product Owner, preferably in Data Analytics; or Sysco relevant experience

EXPERIENCE PREFERRED:

5-7 years as Product Owner, preferably in Data Analytics, or Sysco relevant experience

TECHNICAL SKILLS AND ABILITIES:

  • 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.

LANGUAGE REQUIREMENTS:

English, Bilingual a plus

TRAVEL REQUIREMENTS:

5-10%

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, business stakeholders and SMEs, and the product manager to clarify requirements and resolve roadblocks.
  • Manage POD team and capacity, ensuring a collaborative and business-aligned deliverable.
  • Develop a strategy to better leverage the capabilities and analytics while rationalizing the reports and enhancing insights.
  • Assist in defining and developing KPIs that are focused on business outcomes and are predictive and prescriptive in nature.
  • Work with data scientists and ML Ops team members to influence AI solution strategy and translate output to drive business comprehension, feedback collection, and solution adoption.
  • Design experiments and execute them through the team to evaluate and measure the impact of prioritized initiatives
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