Government and Public Sector - AI and Data - Data Architect - Manager
EYAbout the role
From strategy to execution, the Government and Public Sector practice of Ernst & Young LLP provides a full range of consulting and audit services to help our Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world.
EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals.
The opportunity
You will help our clients navigate the complex world of modern data engineering and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.
Our Data Architect opportunity requires skills in design, development, deployment, and maintenance of the data layer. This role will require working with a wide variety of clients to deliver professional services and manage business development activities.
Your key responsibilities
You’ll spend most of your time working with client(s) to deliver the latest data focused technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich, and analyze data from multiple sources.
Also included:
- Foster relationships with client personnel at appropriate levels; Consistently deliver quality client services.
- Drive high-quality work products within expected timeframes and on budget. Monitor progress, manage risk, and ensure key stakeholders are kept informed about progress and expected outcomes. Manage expectations of client service delivery; Stay abreast of current business and industry trends relevant to the client's business.
- Demonstrate in-depth technical capabilities and professional knowledge. Demonstrate ability to assimilate new knowledge; Remain current on new developments in advisory services capabilities and industry knowledge.
- Assist in the strategy and implementation of Data Governance and Knowledge Management.
- Design and create ontology models to represent data objects, attributes, relationships, and semantics, promoting efficient data integration.
- Play a key role in implementing a data mesh architecture, ensuring easier access to data, improved scalability and flexibility
- Oversee the migration of data pipelines from legacy systems to the new platform, ensuring the accuracy and integrity of data
- Create conceptual, logical, and physical data models to ensure data consistency and structure throughout the organization.
Skills and attributes for success
- Experience designing and managing data architecture and ontologies including defining concepts, properties and relationships for data integration, data mining, and text analysis purposes
- Experience in ontology development, semantic web technologies, and data modeling
- Experience integrating disparate data sources using ontology as a framework
- Collaborate and consult with project managers, developers, data engineers, or and users to ensure common understanding and get buy-in for approach
- Experience testing and validating to data architecture and ontology to make sure it
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