Data Quality Lead

Company: Simplot Company
Location: Boise
Posted on: February 23, 2021

Job Description:

The J.R. Simplot Company is a diverse, privately held organization, with roots firmly planted in agriculture and agriculture-related businesses. The J.R. Simplot Company is a true farm-to-table company with operations that touch every aspect of agriculture, including seed production, farming and ranching, plant sciences, fertilizer manufacturing, food processing, commercial product development, and distribution. Summary Through extensive data profiling, standardization, and on-going monitoring, the Data Quality Lead serves a critical role in maximizing the utility of Simplot's master data. The Lead must have a deep curiosity for exploring how master data is used across the company, and a drive to improve the quality of the data to support operational efficiencies and complex decision making. This role requires broad business acumen coupled with a strong technical skill set for transforming data. The Data Quality Lead will establish strong partnerships with business stakeholders and capture detailed requirements to enable effective engagement in projects, stakeholder meetings, and end user processes. Maintaining on-going awareness of changing business needs and systems as they relate to master data usage is essential. Once standardized master data is in place, the Lead will develop reporting and tools to actively monitor the data to ensure the standards are upheld. Key Responsibilities

• Educate data stakeholders on key data concepts and the value of standardized data.
• Lead the creation of master data standardization requirements that support system to system conversions.
• In partnership with business and IT stakeholders, build a robust schedule of deliverables and milestones to ensure that data can be standardized in a timely manner.
• Develop automated data transformations that conform source system data to meet the standardization requirements in the target system. Partner with business users to develop manual transformation methods when automation is not possible.
• When master data required by a target system does not exist, partner with business users to construct such data in a timely manner.
• Prior to loading data into production environments, partner closely with business and IT to ensure adequate testing and validation is conducted to ensure the data is complete and accurate.
• Implement data standardization, including business rules, data validation, and matching strategies, using a master data management platform.
• Lead meetings with stakeholders to map data attributes from source to target systems to enable standardization and system to system conversions.
• Build a thorough understanding of the use case for each in-scope attribute to ensure all business rules are captured. Work with stakeholders to simplify attributes where multiple use cases exist to create enterprise alignment.
• Collaborate with Enterprise Master Data to stage the mapped data and establish exception reporting as required.
• Profile data to ensure each source to target attribute is properly mapped based on its definition and use case. Additionally, understand the extent to which each attribute is standardized (e.g., naming conventions, value formats, domain of values, etc.), accurate, complete, and unique (e.g., duplicates, records not accurately categorized).
• Partner with Enterprise Data Governance to define data quality metrics relevant to each master data domain.--
• For approved data quality improvements requiring substantial resources, partner with IT and business stakeholders to develop a project plan that implements the changes in an agreed upon timeframe. Typical Education
  • Bachelor's Degree (B.A. or B.S.) from 4 year college or university
  • Master's Degree (M.A. or M.S.) is preferred
  • 8-10 years of relevant job experience.
  • Excellent interpersonal and communication skills with the ability to cultivate professional business partnerships
  • Ability to act independently and as part of a team
  • Highly skilled at facilitation and building consensus among diverse groups of stakeholders
  • Track record of dealing well with ambiguity, prioritizing needs, planning and managing multiple projects, and delivering measurable results in a fast-paced environment-----
  • Demonstrated partnering skills with both technical and non-technical partners, including senior leadership
  • Experience (and preferably enjoyment of) balancing numerous priorities and demands
  • Self-motivated and results-oriented
  • Skilled at using SQL scripts to analyze and transform data
  • Experience using Profisee MDM is preferred.
  • Willingness to travel up to 15% during safe travel conditions (may include international travel) Job Requisition ID:--3714 Travel Required:--Up to 25% Country:--United States **The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status.** If you require technical assistance, please email us at careers.contact@simplot.com.

Keywords: Simplot Company, Boise , Data Quality Lead, Other , Boise, Idaho