Lead Data Architect

Lead Data Architect

Remote Job |   2024-02-23 15:24:48

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Job Code : VT001

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Position: Lead Data Architect

Location: Remote

Duration: Long Term

Client: State of Vermont/Dept of Vermont Health Access Data Lead - MMIS and IE&E
 

Job Description:
For this request, knowledge requirements include:

• A minimum of 10 years of experience as Data Scientist, Data Architect, or similar role, including experience in both the fields of data design/implementation and data use/analysis.
• Must be self-sufficient and provide thought leadership across data capabilities.
• Expert knowledge of data ingestion, modeling, mastery, management, and governance techniques.
• Proven experience in leading data governance work.
• Proven experience in the use of Data Quality tools, and in documenting,
• prioritizing and resolving data quality related issues.
• Proven experience implementing MDM solutions.
• Proven experience in development of data models, ideally in the Medicaid or another healthcare domain.
• Proven experience navigating large and complex projects with multiple stakeholders and project teams
• Strong organizational and leadership skills
• Excellent communication skills
• Experience preparing executive level presentation materials.

Licensing or Certifications for Data Lead (Preferred) include:

• Certified Data Management Professional (CDMP)
• Master Data Management Certification (MDM)
• Certified in Data Protection (CDP)
• Certified Public Sector Data Governance Professional (PSDGP)
• Certified Analytics Professional (CAP)
• AWS Certified Data Analytics Specialty

Education Requirements for Data Lead

• Bachelor's and/or master’s degree in computer science, Statistics, Engineering,
• Education, Mathematics, Business, Economics, Science, Management, Finance

DATA LEAD RESPONSIBILITIES

The Data Lead will represent the Agency of Digital Services as a member of the MDWAS project team. The role is responsible for ensuring that data management, data quality, and data architecture standards and best practices are adhered to throughout the lifecycle for the project. Specific activities include the following:

• Assists the project team to define the common data model vision, management, and data lifecycle approach.
• Assists the data office to define the standards to use for data modeling and management of data models.
• Partners with business and IT teams to gain consensus, and to establish and implement the solution architecture standards, policies.
• Partners with data governance group, technical architects, and IT leads in the selection of metadata tools
• Provides impact analysis on key data issues to assist with prioritization.
• Ensures the architectural vision, roadmap, and standards for governing, modeling, storing, and delivering data within the enterprise are adhered to.
• Assists the data office to develop and implement data stewardship practices and a shared responsibility model of data governance.
• Ensures solution design addresses the data standards and principles both from a functional and technical requirement perspective.
• Leads data architecture design sessions and drive resolution of design issues as appropriate.
• Leads the design of solutions to enable the external stakeholder community to use data, both Open Data and under Data Sharing Agreements.
• Prepares documentation, including system flow charts and business processes.
• Conducts data architecture reviews and issue resolution.
• Develops reference data models and documentation for the project team to implement.
• Works with Data Stewards to identify Critical Data Elements.
• Lead and/or participate in Data Management initiative across business units as required.
• Define and implement policies and processes for data quality, data security, and governance for the project.
• Develop and implement strategy for Data Mastery and Master Data Management.
• Develop governance process for data stewards to manage Master Data.
• Partners directly with IT development teams and technical architects in the implementation of the logical data models.
• Ensures data quality and integrity; interprets, analyzes, and drives resolution of data problems.
• Tests performance of data-driven products.
• Raises Data Quality issues to the project team and State leadership.
• Attends relevant data meetings where specific knowledge is required.
• Conducts reviews to ensure quality, standards compliance, reusability, and ease of maintenance.
• Other assignments as required to achieve the successful completion of the project.