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Dow Jones

We break stories, influence ideas, and advance business intelligence and cultural interest. We expose the events that turn markets, the digital breakthroughs that transform art, the demand that drives invention, as well as the political and societal passing moments and lasting consequences. We are the people of Dow Jones. From different fields, backgrounds and viewpoints we invite you to join us.

Examine the world and bring it to others.

reach out to us at <a href="mailto:TalentResourceTeam@dowjones.com" target="_blank">TalentResourceTeam@dowjones.com </a>. Please put “Reason

Job Information

Dow Jones VP, Data Engineering in PRINCETON, New Jersey

Job Description:

Dow Jones is seeking a VP of Data Engineering to lead and manage our Data Engineering team and develop their capabilities. Reporting to the Chief Data Officer, you will work closely with product, marketing, membership, advertising, and editorial groups to provide data platform capabilities allowing the company further effective, data-driven decisions. Candidates for this role will need demonstrated experience in large-scale, cloud-based technologies and data architectures. A strong focus on data quality is also required for success in this role.

Responsibilities

  • Recruit, lead, and mentor a world-class data engineering team

  • Oversee the architectural and technical design of Dow Jones’ data systems, applications, and processes, creating innovative data-driven insights

  • Manage and extend existing cloud data lakes with multi-system data; grow the footprint of data captured; ensure that data pipelines and resulting datasets are well-maintained and accurate

  • Set data standards and ensure that all Dow Jones products contain complete, accurate, and detailed measurement throughout the customer journey. Be an expert in the data structure of both raw and processed datasets within our ecosystem

  • Grow Dow Jones’ data maturity, leveraging modern data technologies and building advanced analytics capabilities within the organization.

  • Lead and organize teams that can effectively maintain and develop data platforms on the petabyte scale

  • Work with stakeholders to define priorities and new tasks for the data engineering team

  • Identify potential blockers and dependencies of data engineering activities with other teams

  • Develop trust with technical and non-technical stakeholders through communication and collaboration

  • Propose new strategies to improve the stability of the real-time pipelines and batch processes

  • Propose and ensure delivery of data platform capabilities for the enterprise

  • Keep track of tech-debt in data engineering so it can be addressed in tandem with new development

  • Produce operational metrics to measure throughput and to build scale within a growing organization

  • Drive the technical solution for providing appropriate data governance, observability, and quality.

  • Work with your leadership team to communicate, properly resource, and plan strategic roadmaps

  • Attract and retain the high-caliber Data Engineering talent

  • Manage current vendors and selection of new vendors

  • Build and model a culture of excellence, inclusivity, and innovation

Qualifications

  • 10 years experience with large-scale, consumer product data engineering

  • 7+ years leading multi-layered teams

  • Extensive experience designing, building, and evaluating analytical datasets & overseeing enterprise analytics, BI, and marketing tools

  • Demonstrated ability to grow high-performing teams

  • Be a skilled collaborator who can build relationships & influence internal teams and

stakeholders at all levels of the organization

  • Experience with CPD, digital marketing and/or digital advertising datasets

  • Deep knowledge of the cloud computing and data engineering best practices

  • Hands on and working experience with Agile development methodology

  • Experience managing globally distributed teams

  • Experience with CPD, digital marketing and/or digital advertising datasets a plus

  • ETL experience with cloud-based or traditional tools needed

  • Multi-cloud experience

  • Experience in SQL, Python and / or Scala

  • Strong written and oral communications needed

Dow Jones , Making Careers Newsworthy

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets .

Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, please reach out to us at TalentResourceTeam@dowjones.com. Please put “Reasonable Accommodation" in the subject line.

Business Area: TECHNOLOGY - PRODUCT DEVELOPMENT

Job Category: Data/Content Group

Union Status:

Non-Union / No clear and likely Internal Candidate (Employee Only) has been identified

Since 1882, Dow Jones has been finding new ways to bring information to the world’s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron’s, MarketWatch and Financial News.

This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.

If you are a current employee at Dow Jones, do not apply here. Please go to the Career section on your Workday homepage and view "Find Jobs - Dow Jones." Thank you.

Req ID: 34089

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