Technical Data Product Manager- PBNA Smart Ordering

Job Description

Within D+A’s Enterprise Data Operations organization, the Technical Data Product Management Manager delivers three critical dimensions:

• End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, allocation
• Oversee the design, building, and managing of how business-ready data lives within the Enterprise Data Foundation
• Drive coordination between Domains, Products and Projects to help drive re-use and reduce redundancy/duplication in the D+A and broader PEP portfolio

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to  To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

• 5+ years experience in product management, understanding data and analytics methodologies
• Experience in understanding queries in SQL and Databricks using Azure cloud
• 2+ years of experience working in Food & Beverage, Consumer Products or Retail industries
• Experience building, leading and designing data-based solutions on large scale projects
• Experience working in a data-centric environment
• End to end data sets
• Sequence of data
• Data road mapping
• Enterprise data warehousing
• Experience in directing and managing scrum teams of data engineers and data governance
• Help in forecast planning for production with internal data products
• Agile experience