What are the responsibilities and job description for the VP, Data Solutions Engineering position at Cond Nast?
Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Cond Nast Traveler / Traveller, Allure, AD, Bon Apptit and Wired, among others.
Job Description
Location : New York, NY
Cond Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting more than 100 million consumers across its industry-leading print, digital and video brands.
Cond Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Cond Nast. Our mission is not only to inform readers but to ignite and nourish their passions.
We are seeking a VP of Data Solutions Engineering to lead our global data engineering & data warehousing practice and drive the development of a customer 360 initiative across our revenue lines of business. Your extensive experience in data engineering, big data management, media, and digital technology will be instrumental in building and scaling our data platforms and products while ensuring compliance with data privacy regulations. You will spearhead the strategic planning, organizational management, and execution of our data engineering roadmap, collaborating with cross-functional teams to deliver a unified customer view and enable data-driven decision-making.
RESPONSIBILITIES
Responsibilities include, but are not limited to :
- Lead and manage a diverse team of data engineers, fostering a culture of
collaboration, innovation, and continuous growth
practice, aligning it with core business functions and global growth objectives
experience to deliver
objectives and global engineering principles
feature engineering and model serving
across all data engineering pipelines and data warehousing models
evaluating and recommending suitable technologies and tools.
QUALIFICATIONS :
technology, with a focus on media and analytics.
enterprise level.
microservices-based architectures and platforms.
frameworks like Spark on the Databricks data platform.
preferred.
engineering with business objectives.
The expected base salary range for this position is from $250,000 - $300,000 Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.
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What happens next?
If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
Salary : $250,000 - $300,000
