Agile-EY GDS Consulting AI And DATA BI Architect Manager

As a Data Visualization Architect at EY, you will play a crucial role in creating compelling data visualizations and dashboards that effectively communicate data insights and trends. Your responsibilities will include: - Collaborating with stakeholders, such as data engineers and analysts, to gather, clean, and integrate data from various sources. It is essential to ensure the accuracy and reliability of the visualizations. - Applying user-centric design principles to ensure that the visualizations are intuitive and cater to the needs of different stakeholders. Conducting usability testing and incorporating feedback into design iterations. - Establishing best practices for data visualization architecture and setting guidelines and standards for creating and maintaining visualizations. - Working closely with cross-functional teams, including data scientists, analysts, and business leaders, to understand their data requirements and translate them into actionable visual insights. - Optimizing the performance of data visualizations to efficiently handle large datasets and ensure quick load times. - Demonstrating expertise in Requirements Gathering, analyzing user needs, estimating efforts/timelines, and providing solutions for proposals. - Providing training and support to end-users on how to interact with and interpret visualizations. Creating necessary documentation and user guides. - Staying abreast of industry trends, emerging technologies, and best practices in data visualization. Proposing and implementing new tools and techniques to enhance visualization capabilities. Qualifications: - Proven experience in data visualization and dashboard development with a strong portfolio showcasing your work. Proficiency in tools like Tableau, Power BI, or similar platforms is required. - Proficiency in SQL and experience in data manipulation and transformation. Knowledge of programming languages like Python or R is a plus. - Strong understanding of design principles, including layout, color theory, and typography. Experience with design tools like Adobe Creative Suite is advantageous. - Ability to analyze complex data sets, identify key insights, and possess strong problem-solving skills with attention to detail. - Excellent verbal and written communication skills to effectively convey technical concepts to non-technical stakeholders. - Project management skills to handle multiple projects, prioritize tasks, and meet deadlines. Exposure to RFPs, estimation, and planning is preferred. Preferred Skills: - Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). - Knowledge of statistical analysis and data modeling techniques. - Familiarity with user experience (UX) and user interface (UI) design principles. Join EY in building a better working world where new value is created for clients, people, society, and the planet by fostering trust in capital markets. With data, AI, and advanced technology, EY teams shape the future with confidence, addressing today's and tomorrow's most pressing issues across assurance, consulting, tax, strategy, and transactions. Operating in more than 150 countries and territories, EY offers a full spectrum of services fueled by sector insights and a globally connected network. As a Data Visualization Architect at EY, you will play a crucial role in creating compelling data visualizations and dashboards that effectively communicate data insights and trends. Your responsibilities will include: - Collaborating with stakeholders, such as data engineers and analysts, to gather, clean, and integrate data from various sources. It is essential to ensure the accuracy and reliability of the visualizations. - Applying user-centric design principles to ensure that the visualizations are intuitive and cater to the needs of different stakeholders. Conducting usability testing and incorporating feedback into design iterations. - Establishing best practices for data visualization architecture and setting guidelines and standards for creating and maintaining visualizations. - Working closely with cross-functional teams, including data scientists, analysts, and business leaders, to understand their data requirements and translate them into actionable visual insights. - Optimizing the performance of data visualizations to efficiently handle large datasets and ensure quick load times. - Demonstrating expertise in Requirements Gathering, analyzing user needs, estimating efforts/timelines, and providing solutions for proposals. - Providing training and support to end-users on how to interact with and interpret visualizations. Creating necessary documentation and user guides. - Staying abreast of industry trends, emerging technologies, and best practices in data visualization. Proposing and implementing new tools and techniques to enhance visualization capabilities. Qualifications: - Proven experience in data visualization and dashboard development with a strong por