Treehouse Foods | Senior Product Data Scientist | Remote | United States | BigDataKB.com | 21 Oct 2022

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Job Location: Remote

Employee Type:

Full time

Location:

IL Works from Home

Job Type:

Research and Development

Job Posting Title:

Senior Product Data Scientist

Job Description:
Position Summary:
This position is responsible for leading Product Lifecycle Management (PLM) specification management activities, PLM team members and functional users to efficiently create and maintain high quality specifications for all active materials in support of business requirements and ensure excellence in service to PLM team customers. Key responsibilities include leading day-to-day PLM user support and management of continuous improvement opportunities related to PLM systems. In addition, position requirements include supporting functional Subject Matter Experts /Division Functional Leads in training new hires and on-going proficiency development for team members as applicable, as well as ensuring functional users receive excellent change management support during the implementation of new data fields and changes to applicable processes.
Position Responsibilities:
  • Utilize deep understanding of SAP PLM systems to lead functional users and less experienced team members in on-boarding and addressing issues related to PLM systems.
  • Serve as backup for system functionality and workflow task updates as requested and to minimize risk of PLM team single resource knowledge support.
  • Lead best in class user support through active completion of level 1 requests via SharePoint PLM User Request site, adherence to stated to timelines and management of user support materials.
  • Allocate PLM user requests to PLM team members on a day-to-day basis and collaborate with the team to ensure internal customer satisfaction based on priority.
  • Manage completion of accuracy checks of data for assigned specification types across THS network (Ingredient, Packaging, WIP, and/or Finished Goods)
  • Partner with MDM and appropriate data owners to identify and address data gaps and ensure compliance for PLM owned data in alignment with THS data governance initiatives
  • Create and publish monthly specification KPIs that include audit findings and corrective actions
  • Lead project management support for data input for newly added fields with appropriate functional owners
  • Lead PLM team members in working with functional users to review and shepherd data workflow activities to ensure effective and efficient creation and change management for speed to market and best in class customer support
  • Partner with SMEs & functional users to maintain applicable SAP PLM functional training materials across network and communicate via SharePoint and/or MS Teams
  • Manage refresher training with current users and PLM team members based on solicited input
  • Conduct training on new functionality and/or support functional SME to do so when applicable
  • Partner with cross functional teams on process improvements related to specification data management across multiple categories
  • Provide business support for IT enhancement requests as applicable
Qualifications and Requirements:
  • 10-15 years’ experience in Specification Management, Product Development, Labeling, Regulatory, Data Science/Governance and/or Project Management/Commercialization
  • Customer service orientation
  • Aptitude for meeting facilitation/project management
  • Ability to partner with all THS cross functional teams
  • Continuous improvement mindset
  • Passion for data quality
  • Detail oriented, data driven mindset
  • Self-motivated, independent contributor
  • Knowledge of SAP Material Master and BOMs
  • Demonstrates THS core values: Better Together, Speak Up, Own It, Commit to Excellence, Be Agile
  • MS Office, PowerPoint, word, advanced excel required
  • O365 SharePoint, MS Teams required
  • SAP, SAP PLM required
  • Power BI or other reporting/analytics programs preferred
  • HP ALM system experience required
Education:
  • Bachelor’s Degree Required – Type: Food Science, Engineering, Culinary or related field, Data Science
TreeHouse Use Only: #IND1




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