Senior Lead Data Architect - System Excellence
Inactive
Anywhere in the U.S.Full-TimeLead
Salary132232 - 193940 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- AgileOracleSAPJiraData modeling
Requirements
- Bachelor’s degree in computer science, engineering, or related field
- 10+ years of relevant experience
- Experience building data models
- Experience performing complex queries
- Experience implementing Master Data Management (MDM) practices and solutions
- Experience with product management disciplines
- Experience with program management disciplines
- Experience with Agile delivery methodology
- Experience working with Aha!
- Experience working with Clarity
- Experience working with Jira
- Experience with SAP
- Experience with Oracle
- Experience with other enterprise level financial systems and tools
Responsibilities
- Own and drive data strategy for all data generated and used in STEPN business operations, including product management, program management, Agile work delivery, and financial management
- Translate business needs into data needs and drive data architecture within business process and system design efforts, including Aha!, Clarity, Jira, and others
- Design, develop, and maintain canonical data model in support of STEPN business operations
- Identify, implement, and apply the appropriate level of Master Data Management (MDM) principles and a supporting solution into the STEPN Business Operations technology ecosystem
- Partner closely with operations, application, and reporting teams to ensure data alignment and maximize value throughout the operational lifecycle
- Lead data governance and establish best practices that ensure data quality, standardization, and compliance
- Mentor team members and influence stakeholders to promote data awareness and improve organizational maturity
- Select and implement the appropriate tools, software, applications, and systems to support the data strategy
- Oversee the mapping of data sources, data movement, and supporting interfaces to ensure data quality
- Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration
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