Lead Data Architect
Jobright.ai
Join to apply for the Lead Data Architect role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Lead Data Architect role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Sevita is a leading provider of home and community-based specialized health care, dedicated to helping individuals live well. The Head of Strategy & Architecture, Data Management will define the enterprise data architecture and lead a team to align solutions with business and IT strategies, ensuring scalable and reliable data management practices. Responsibilities:
- Translates strategic requirements into a usable enterprise information architecture, which may include an enterprise data model, associated metadata, common business vocabulary, and taxonomies to be used to guide enterprise solution development and achieve consistency of information assets across the application portfolio
- Engages with business functions, acting as visionary to proactively assist in defining the direction for future projects
- Applies business strategy and enterprise architecture principles while driving data strategy, balancing short term and long term needs to ensure scalable, reliable, and extendable data architecture that can evolve with changing needs
- Leads the Enterprise Data Architecture and related technical strategies in the areas of data management, BI analytics, advanced analytics, master data management, data quality, transformations, enrichment and data integration
- Defines data/information architecture standards, policies and procedures for the organization, structure, attributes, and nomenclature of data elements, and applies accepted data content standards to technology projects
- Works with the Director of BI and Data in translating business vision, strategy and objectives into an enterprise data architecture
- Develops, owns and communicates the enterprise data architecture artifacts for integrations, analytics, business intelligence and master data management solution architectures showing the following views: Abstraction Level - Conceptual, Logical; Scope - Enterprise, Domain, Capability/Process; Time - Current, Transitional, Target
- Drives the development of the enterprise data, integration, analytics and business intelligence technology strategy and roadmap which include: Gaps between current and target states; Recommended initiatives; Strategy and timeline for implementing initiatives
- Understands the company's data and how it is used, identifies its source (system of record, gold copy source) and designs its movement across the enterprise
- Guides solution architects in promoting best practices, using reference architectures, ensuring standardization across solution architectures, and reflecting the enterprise data and integration architecture strategy in their solutions
- 15+ years of experience architecting data management, analytics, business intelligence and application integration solutions
- 3-5 years of experience in building data strategy for a large global company required
- Experience using Azure PaaS and SaaS services for building data management solutions
- Experience using and/or extensive knowledge of various technologies in the areas of data modeling (conceptual, logical, physical), data storage (lifecycle management, archiving), data warehousing, data governance (taxonomy, stewardship, data quality, metadata management, lineage), master data management (master and reference data), data integration, data migration, data operations (error handling, monitoring, security), business intelligence (reporting, dash boarding) and advanced analytics (predictive analytics, machine learning, artificial intelligence)
- Experience using and/or extensive knowledge of various application integration technologies such as cloud integration, SaaS integration, API management, enterprise service bus, messaging, streaming, event management, managed file transfer, micro services, and service-oriented architecture
- Ability to think strategically and apply abstract architectural concepts at an enterprise level
- Excellent interpersonal, verbal and written communication and presentation skills with the ability to effectively convey architectural concepts to business and technology peers as well as senior management
- Effective leadership, influencing and negotiating skills
- Ability to work simultaneously on multiple large, complex projects with minimal supervision
- Bachelor's degree in Computer Science or related discipline and/or equivalent work experience
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