- Building a diverse team with a strong leadership pipeline and an inclusive culture and also attract and retain top Engineering talent.
- Contributing to driving world class employee satisfaction through the implementation of relevant organizational initiatives that build on employee commitment.
- Mentoring and guiding Senior Data experts and people leaders.
- Defining & continuously measuring the objectives & key results to drive an outcome-oriented practice across the team.
- Enabling career development via access to training resources, on-the-job coaching and mentoring.
- Creating the strategy for the problem space in line with the overall vision of the organization and through feedback from internal & external stakeholders.
- Implementing reusable and fit-for-future data optimization techniques and services through an automate-first mindset.
- Implementing modern Data industrialization practices across Cloud, Big Data and Relational database platforms & services.
- Driving a “Data Product” first mindset and building solutions aligning with those principles
- Applying an AI first approach to building data that delivers intelligent insights
- Serving as a technical thought leader and advisor to the organization
- Having an external presence in the industry
- Establishing best practices and governance routines to ensure adherence to SLA and FinOps.
- Staying informed on the latest advancements in AI and Data technology space, finding ways to deliver value by applying and customizing these to specific problem statements in the enterprise.
- Fostering an innovation culture where our employees are engaged in pioneering work that can be shared externally in a number of ways like patents, open source, publications, etc.
- Inspiring our team to create monetizable services that can be leveraged both within Verizon and externally with Verizon’s partners.
What we’re looking for...
You are a dynamic leader with outstanding analytical capabilities and strong technology leadership along with hands-on and leadership experience in Data engineering areas along with end-to-end product development and delivery experience. You are constantly challenging the status quo and identifying new innovative ways to drive your team towards new ways of working that creates efficiencies.
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 leading and building Data and Full stack engineering teams with specific focus on GCP, AWS and Hadoop.
- Experience in Data Architecture
- Experience in applying AI to the lifecycle of data
- Experience in delivering business outcomes in large and complex business organizations.
- Experience in communicating complex designs and outcomes to a non-technical audience.
- Willingness to travel up to approximately 15% of the time.
Even better if you have one or more of the following:
- Master’s degree in Computer Science or an MBA.
- Strong knowledge on Consumer and Business enterprise domain with expertise in Telecom
- Experience in Relational Database Management Systems (RDBMS)
- Experience in implementing Gen AI and Agentic AI solutions
- Experience in end-to-end Product lifecycle management
- Experience in driving significant cost optimization on Google Cloud