Work Flexibility: Hybrid
What you will do:
- Support development, documentation, and maintenance of enterprise data strategy artifacts, standards, and frameworks.
- Research industry trends, tools, and leading practices in data management, governance, and analytics to inform strategic recommendations.
- Assist with roadmap planning, milestone tracking, and reporting on data strategy initiatives.
- Develop and maintain reference materials, playbooks, templates, and standards documentation for enterprise data practices.
- Compile and analyze metrics that measure adoption, maturity, and value of enterprise data capabilities.
- Partner with governance, engineering, delivery, and business teams to gather input and align on strategic priorities.
- Support enablement and communication activities, including training materials, internal marketing content, and stakeholder updates.
- Assist with evaluation of data platform, catalog, and data management tooling to support capability decisions.
- Support responsible use of AI tools, including Microsoft Copilot, to accelerate research, analysis, and documentation.
- Follow enterprise governance, security, privacy, and quality expectations for assigned work.
- Works effectively across teams and maintains a customer- and stakeholder-focused approach.
What you will need:
Required Qualification:
- Bachelor’s degree in computer science, Information Systems, Analytics, or related discipline required.
- 1+ years of experience in data analysis, data strategy, data governance, analytics, or a related data discipline.
- Experience researching, documenting, and communicating standards, processes, or recommendations.
- Ability to analyze data and information, draw conclusions, and present findings clearly.
- Familiarity with data management, governance, and analytics concepts and enterprise data platforms.
- Strong attention to detail and ability to manage assigned tasks, deadlines, and follow-ups.
Preferred Skills / Tools:
- Experience with SQL, data cataloging, or data governance and quality tooling preferred.
- Exposure to modern data platforms (e.g., Databricks, cloud analytics) and metadata or catalog tools preferred.
- Data management, governance, or analytics certification (e.g., DAMA/CDMP, cloud data fundamentals) preferred.
Travel Percentage: 10%