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What you'll be doing:

This role is an integral part of the Unified Data and Insights team within the Verizon Business Group(VBG). This Division within Verizon is developing a new Data Insights Platform to deliver products that bring value to the customer with a differentiated AI layer. ambitious new business growth targets and an expansion of products and services offered by VBG.

This individual is a key contributor to the VBG team's work on the data insights platform and coordination with senior technical and program leads. This individual will define the next generation use cases and architectures that power the insights platforms to be used internally to champion investments and identify necessary changes to products and services. S/he will be working on the next generation use cases and data architecture for supporting the Insights platform in a hybrid-network utilizing both on-premise and cloud architectures for data collection, transformation, correlation, model execution, and API delivery of insights and data. The ideal candidate will have a strong understanding of AI strategy and network & cloud architectures, network services, cloud, applications, and security products, and be able to identify, analyze, and understand big data networks to support actionable insights in support of network-centric programs. The candidate will contribute to new business activities, user cases/story generation, concept notes, reports, presentations, and other important data dissemination products as well as strategy-setting for our SD-WAN, SASE, Wireless, and Wireline products and services.

The role is responsible for 1) identifying strategic AI initiatives, 2) developing hybrid big data architectures, 3) defining connectivity options for new data sources, 4) analyzing data workflows for efficient data delivery in a real-time environment; 5) partnering with VBG teams, the Verizon Network teams, and Verizon Technology teams to identify AI and network architecture needs; 6) documenting AI use cases and architecture solution; and 7) monitoring data flows and network performance.

Responsibilities will include:

• Define strategic direction for next generation AI use cases, partnership, technology trends, and Generative AI application for automated actions.

• Designing and implementing robust, scalable big data architectures for both cloud and on-premise environments, ensuring seamless integration and processing across multiple platforms.

• Defining data flows, including ingestion, storage, processing, and delivery, ensuring data integrity and accessibility.

• Monitoring data flows and architecture performance, identifying bottlenecks and opportunities for optimization.

• Collaborating with security teams to implement and maintain data security measures, ensuring compliance with industry best practices.

• Documenting the data architecture, processes, and standards to ensure consistency and clarity across projects.

• Providing technical leadership and guidance to data engineering teams, facilitating knowledge sharing and best practices in big data management. Including user case/story generation for building out network architectures to meet internal and customer needs.

• Representing the VBG team on appropriate cross-divisional initiatives and coordinates with other Divisions on specific projects.

• Staying abreast of emerging technologies and trends in big data, cloud computing, and op-premise solutions, recommending and implementing improvements to our architecture and processes.

You'll need to have:

• Bachelor's Degree in Computer Science, Engineering, Information Technology, or or four or more years of work experience.

• Six or more years experience in Network Architectures focusing on developing data driven products and services.

• Three or more years experience in Business Strategy with experience in Applied AI and Generative AI

• Experience with Use Case/User Stories generation, SCRUM, and lean product development.

• Five or more years experience in designing and implementing big data solutions, with a comprehensive understanding of both cloud (AWS, Google Cloud Platform, Azure) and on-premise environments

• Proficiency in big data technologies (e.g., Hadoop, Spark, Kafka, Cloudera).

• Deep knowledge of database systems (e.g., NoSQL, SQL).

• Familiarity with data modeling, data security principles, and data integration techniques.

• Knowledge of implementing data security measures and ensuring compliance with industry standards and regulations.

• Network Architecture experience in Software Defined Networking(SD-WAN, etc.), Wireline and Wireless Networking, and Cloud Application and Services

• Big Data Architecture experience in data handling, process, and insight development, model development, model execution, and visualization.

• Demonstrated experience in big data analytics, data insight, and machine learning modeling.

• Experience with use case creation and story development in an agile environment to meet internal needs as well as customer requirements.

Even better if you have one or more of the following:

• Masters in Computer Science, Engineering, or Information Technology preferred.

• AI Business Strategy utilizing next generation AI Technologies

• Experience working with Cloud & Premise Architecture in a big data environment

• Ability to synthesize project findings and translate into architecture recommendations.

• Strong drive for results; ability to effectively prioritize, adjust quickly to changing priorities and execute while under pressure

• Demonstrated experience in project management and balancing priorities.

• Ability to work independently and as part of a team

• Proven effectiveness working in a team-based environment, but capable also of working independently.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.