Data Steward
Tasks
• Provide leadership to design sessions with Stewards, Data Engineers, Engineering teams, Data Scientists, Product Managers, business and/or IT stakeholders, that result in design documentation and business metadata capture.
• Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders.
• Ability to identify gaps in requirements based on business subject matter domain expertise.
• Participates in data scraping, data curation and data compilation efforts. Ensures high quality of the data to end users. Ensures high quality of the inhouse data via data stewardship.
• Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies.
• Lead discussions across business organizations, lines of business, countries/hubs to document business logic and sources of data.
• Lead Open Data efforts, making data FAIR (Findable, Accessible, Interoperable and Reusable) to strengthen company's effectiveness in carrying out its mission.
• Lead trainings and discussions to evangelize these frameworks and objectives – Governance, Data Quality, Data Wrangling and Best Practices.
• Lead multi-functional and multi-business stewardship network in which to evangelize these frameworks and objectives – Governance, Data Quality, Data Wrangling, and Best Practices.
• Assist Senior data stewards by sharing best practices in data stewardship management.
• Serve as point of contact for other stewardship resources.
• Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts.
• Define data quality rules and implement automated monitoring, reporting, and remediation solutions.
• Influence the vision of Data Stewardship, advocate for stewardship teams, socialize the mission of data stewardship and mentor stewards to align with the mission.
• Set strategy for implementation of automated data quality monitoring based on engagement with stakeholders and technical partners.
• Utilize root cause analysis to identify trends and assess impact of data quality issues.
• Coordinate intake and resolution of data support tickets.
• Support data migration from legacy systems, data inserts and updates not supported by applications.
• Partnership with the Data Governance organization to ensure data is secured and access is being managed appropriately.
• Identification of gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures.
• Creation of mapping documents and templates to improve existing manual processes.
• Exploratory data analysis, data cleaning & processing.
• Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process.
• Help answer questions from the end-users and coordinate with technical resources as needed.
• Build prototype SQL and continuously engage with end consumers with enhancements.
• Ability to deliver detailed technical documentation.
• Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc..
• Knowledge of data management best practices.
• Knowledge of business or data domain within a business unit.
Required Qualifications
• Bachelor's Degree in Computer Science, Engineering, Science, Agriculture or other related field with min 4 years proven experience.
• Demonstrated ability to deliver detailed technical documentation.
• Experience participating in the build and support of APIs using resource-based design principles.
• Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
• Considered domain expert in providing insight and authority to working groups.
• Applied experience with agile development, continuous deployment, DevOps, and decision science.
• Experience mentoring and guiding activities of junior team members
• Data Warehousing experience.
• Soft Skills – multiple organizational communication and influencing
• Process Improvement – a new platform is being created and support is in question.
• Strong written and verbal communication skills.
• Comfortable balancing demands across multiple projects/initiatives.
• Time management skills.
Preferred Qualifications
• Bachelor's Degree in Computer Science, Engineering, Science, Agriculture or other related field.
• 6 years experience (or 4 years with Master’s Degree or 1 year with PhD)) in areas such as:
• Expert level experience in relevant business domain
• Experience querying SQL and/or NoSQL databases
• Experience managing data using APIs
• Experience manipulating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot, ETL applications)
• Experience profiling data, summarizing and reporting data quality metrics
• Agriculture domain knowledge and/or Big Query experience