Senior Manager-Data Engineering

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.

What you’ll be doing...

The Data Architecture and Strategy team is looking for a Senior Data Leader who is passionate about innovating and delivering high quality, differentiated enterprise data solutions across Verizon. The Data Architecture and Strategy team establishes the data architecture, Design and Data management policies, processes, products and technologies to ensure data is TAP (Trusted, Available, and Protected).

Verizon builds the network that moves the world and the Data Architecture and Strategy team is fueling Verizon’s ability to do so with data as a key competitive advantage. This presents continuous opportunities to design strategic data management solutions that drive spend, build customer loyalty, identify new opportunities / threats, and guide product strategies for Verizon.

Your responsibilities encompass:

In this role the Senior Manager will manage and lead a highly talented team of Data Architects, Data Engineering Analysts and design teams to drive delivery of strategic data management solutions

• Defining Data Architecture Strategy (Enterprise & Domain level) and Enterprise Data Model Standards & Ownership

• Defining the scope and purpose of data product solutions, collaborating with stakeholders to finalize project blueprints, and overseeing the design process through all phases of the release lifecycle

• Designing data ingestion for both real-time and batch processing, ensuring efficient and scalable data acquisition for creating an effective data warehouse/lakes

• Designing and managing framework to discover/organize enterprise data using business taxonomy and metadata descriptions

• Defining and documenting data architecture and design, non - functional (architectural) requirements, preparing estimates and defining technical solutions to proposals (RFPs)

• Identifying and Driving Automation opportunities to optimize data architecture tasks using GenAI/ML solution

• Defining the Data Architecture Strategy for GenAI Data requirements

• Providing technical & functional leadership to the project team to perform design to deployment related activities, provide guidance, perform reviews, prevent and resolve technical issues

• Building and managing a Data Architecture CoP to drive development of class data products and assets

• Sharing and incorporating best practices from the industry using new and upcoming tools and technologies in data management & analytics

• People leadership, engagement, mentoring and growth

• Building a strong vendor model, vendor governance, and management

What we’re looking for...

You’re curious about data and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise in Data Architecture to solving business problems. You thrive in a fast-paced, innovative environment working as a phenomenal teammate to drive the best results and business outcomes.

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.

• Six or more years of relevant work experience.

• Experience in defining and implementing Data Architecture strategy for large enterprise data.

• Experience in defining data standards, data quality and implementing industry best practices for scalable and maintainable data models using data modeling tools like Erwin.

• Experience designing data products, enterprise taxonomies, data catalog and metadata management solutions to organize and manage data.

• Experience with data lake, warehouse and cloud technologies such as Tera data, Hadoop, GCP.

• Experience building data solutions for Machine learning and Artificial Intelligence.

• Experience of working with as well as influencing stakeholders to balance business needs with IT standards and processes.

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

• Master’s degree in computer science, information systems, engineering, or business administration

• Proven track record of leading large projects in data

• Knowledge and experience in building Data Fabric or Data Mesh based Data Products

• Experience in defining solution architecture for enterprise systems

• Knowledge/ certifications of data management concepts and frameworks like DCAM/DAMA.

• Knowledge on GenAI solutions, Data Engineering Development life cycle, and AI & Data Project Management approaches

• Certifications in GCP

• Critical thinker and ability to demonstrate logical approach to problem solving.

• Ability to negotiate and influence stakeholders particularly at senior levels of an organization.

• Knowledge of business process management best practices.

• Business intelligence concepts and data science principles.

• Predictive AI and Gen AI experience

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.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Diversity and Inclusion

We’re proud to be an equal opportunity employer. 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.