Data Governance Lead

Simplot•Boise, ID

2d•Onsite

About The Position

The Data Governance Lead will drive data accountability by facilitating data decisions and creating data standards and quality metrics for several core master data domains. The role will partner closely with business stakeholders, IT data teams, and end-users to improve the core data assets needed to support daily operations and strategic programs. The Data Governance Lead will be instrumental in creating and monitoring adherence to the standards, processes, and data quality metrics required by the business stakeholders to govern Simplot's data for the long term.

Requirements

Skilled at facilitation and building consensus among diverse groups of stakeholders
Demonstrated ability to research, write, and verbally communicate about technical topics for a broad audience
Track record of dealing well with ambiguity, prioritizing needs, planning and managing multiple projects, and delivering measurable results in a fast-paced environment
Experience in coordinating data or process improvement initiatives
Demonstrated understanding of data governance concepts
Demonstrated partnering skills with both technical and non-technical partners, including senior leadership
Ability to query and profile data to extract insights using SQL

Nice To Haves

Master's Degree (M.A or M.S.) is preferred

Responsibilities

Articulate the data governance mission, strategy, and the value of managing data as an asset
Lead the set up of data domain groups formed to make enterprise-wide decisions about data
Facilitate a consistent and transparent data decision-making process that brings together business and IT data stakeholders
Publish and maintain data governance rules and approvals
Draft and gain approval for clear, accurate, and succinct data standards that capture data governance rules and requirements for the data
Lead the design of master data authoring processes
Provide data governance education and training on core data concepts, practices, standards, and guidelines
Propose and gain approval of metrics to monitor data quality against data standards
Ensure that the data management strategies are implemented and reflected in data standards and practices
Coordinate data cleansing efforts by identifying business requirements and collaborating with business, IT, and Enterprise Data teams to improve data quality
Design data quality reporting requirements and collaborate with members of the IT Data teams to implement new data quality reports
Communicate the state of data quality with data stakeholders and assist with resolving questions and resulting action items