L2 VP, Data Engineering


L2 is looking for a Vice President of Data Engineering who is interested in managing and further innovating the data application architecture at L2. This person will be responsible for the oversight and development of the front end, back end and reporting layers. The VP of Data Engineering will work closely with product managers, data scientists, engineers, researchers and data quality analysts to understand data needs, enable accessibility to the data, and set standards to improve the organization and the scaling of our data applications overall.

As a team leader, you should enjoy getting your hands dirty coding, problem solving, mentoring junior and mid-level engineers, and fostering innovative thinking. You will help to drive the right technology choices (e.g. languages, libraries, frameworks), have the opportunity to define how we work as a team, and help to prioritize the products and tools we build.

Specifically, we are looking for an individual who has a background in data application development in a business intelligence, analytics, or research environment. A strong background working with various databases and systems is needed. Experience with AWS operations management is a strong plus.

Responsibilities Include:


  • Lead the architecture and the development of data and analytics enterprise applications.

  • Collaborate with peers in Research, Strategy, Product, Finance, and Enterprise Technology to prioritize, plan and release products within L2’s data product suite and across the broader Gartner marketing practice.

  • Define vision, drive team execution, and oversee the architecture and engineering process. This will require strong leadership capabilities, and the ability to ensure alignment across the organization.

  • Mentor and guide the professional and technical development of your team members. Help develop their careers, ensure they progress their skill levels, understand their work styles and apply that understanding toward helping them set and reach professional goals.

  • Identify structural and process improvement opportunities, overseeing the development and implementation of best practices for modern development principles and methodologies.

  • Innovate with and expand the organization's insight, intelligence and analytics products, emerging approaches, skills and technologies.

  • Research and develop new data solutions and tools sets.

  • Oversee the development and release of an enterprise BI platform.
Job Requirements:

  • The ideal candidate will have a B.S. degree in Computer Science, Data Science or equivalent. Master’s degree preferred.

  • 10-12 years’ experience in a software development role in Enterprise data applications (i.e. big data, data warehousing, data science, and analytics solutions) including 3+ years in a technology leadership position, digital media experience is preferred.

  • Preferred candidates have an established track record of defining solutions and leading the implementation of large-scale high quality enterprise solutions.

  • Proven ability to assess an existing business process and implement a next generation solution using a services-based approach.

  • Proven track record of developing and evolving data and analytics capabilities in the cloud (preferably using AWS).

  • 3+ years of experience building enterprise applications with JavaScript frameworks (specifically React) is a plus.

  • Proven problem solving skills, and the ability to interact with all levels of technical and non-technical staff.

  • Data analytics experience a plus (R, Python).

  • Solid understanding and experience in the Agile methodology, hands on management of agile, iterative development spanning specification, prototyping, architecture, QA, operations and support.


Job ID 00018834


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