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• H1B Work Permit

• Corp-Corp

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• UG :- - Not Required

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• No of position :- ( 1 )

• Post :- 14th Dec 2024

The Global Data and Solution Architect – Data & Analytics, will work to lead multiple initiatives, solutions, and teams within Global Data & Analytics technology organization. 
Reporting directly to the Global Data & Analytics Technology Lead, this role contributes to the overall mission of establishing a future-proof architecture and associated IT services supporting data, analytics, and AI for globally.
The technology lead will work collaboratively with global EIT leaders and peers, business stakeholders, consultants, technology vendors, and managed service providers to deliver successful technical projects that meet complex business requirements providing a cohesive and unified data strategy and implementation.
Responsible for the co-creation, architecture, design, development, and implementation of the data, analytics, and AI architectures and reference frameworks supporting global businesses. 
Will lead and be responsible for participating in the strategic planning and hands-on engineering of solutions and cloud environments that support advanced analytics, data science, AI, and other data platform initiatives.  
This will include supporting commercial, R&D, and corporate analysis initiatives as examples as well as the associated personas such as enterprise users, data analysts, and data scientists.
The global technology lead also serves as the big data expert and advisor for global EIT and manages technical teams and projects supporting growth and strategic business objectives. 
Responsible to present to leadership throughout the lifecycle of associated projects to ensure continued alignment with business initiatives across platforms.
Deep Databricks and Informatica experience required.
Essential Functions
Inspires, leads, and directs the technical data & analytics teams to promote the capabilities and adoption of business intelligence, analytics, and AI solutions throughout the company.
Manages, advises, and coaches where appropriate, peers, technical product owners, IT business analysts, data scientists, data architects & engineers, solution architects, and application/report developers regarding the activities of data & analytics across.
Co-creates (designs and implements) enterprise operating models for data and analytics for both global and federated capabilities and how they interact. 
Goal is an effective, efficient, scalable, and agile model driving value from standardization and reuse of advanced capabilities while supporting regionally relevant flexibility and delivery autonomy.
Coaches and mentors operational support teams on technical concepts, designs, and system functionality.
As a technology strategist, they contribute to the Data and Analytics business strategy, while owning the technology enablement strategy, including the execution plan and associated budget planning.
Works collaboratively across the organization to build the data ingestion, storage and/or virtualization structures needed to support our next generation of data products, self-service analytics, and data democratization initiatives.
Works iteratively to define a future state technology architecture to support data and analytics (ingestion, integration, storage, consumption, governance, and security).
Should enable operational efficiency and effectiveness providing governed data democratization as an output.