Search the 89 jobs at Dow Jones

As a Research Editor at Dow Jones, you will create high-quality reports on companies and individuals by utilizing publicly-available sources and proprietary databases. Your role includes ensuring report accuracy, summarizing complex information from multiple sources, and supporting R&C with translation services. You'll also assist in training new staff and contribute to team and product projects.

The Technology Executive Coordinator will support the SVP of Technology Operations at Dow Jones by managing calendars, coordinating travel and expenses, planning meetings and events, and aiding in the execution of cultural initiatives to enhance team dynamics.

In this role, you will support sales specialists by generating new leads, conducting cold calls, assisting with marketing campaigns, and maintaining accurate sales records. You'll collaborate closely with the Risk and Compliance team to align sales strategies and contribute to overall revenue growth.

The Lead Software Engineer, Web/SEO will architect, develop, test, and deploy web applications for various Dow Jones publications, focusing on improving SEO practices and application performance. Responsibilities also include enforcing SEO best practices and collaborating with cross-functional teams.

As a Product Manager at Dow Jones, you will oversee the launch of new consumer products and features, collaborating with cross-functional teams. Your role involves defining product initiatives, writing user stories, analyzing audience feedback, and enhancing product capabilities to improve revenue.

The Program Manager will support the execution of strategic initiatives for marketing transformation and enhance business management. Responsibilities include collaborating with teams, developing program plans, managing risks, tracking progress, maintaining documentation, and providing leadership updates.

As a Senior ML Data Engineer at Dow Jones, you will design, develop, and maintain robust data pipelines for data scraping, processing, and storage. You will collaborate with data scientists to ensure efficient data retrieval and integration for analysis and decision-making, applying best practices and industry standards in data engineering.

The Operations Analyst will focus on enhancing operations effectiveness by managing budgeting, tracking spending, and forecasting expenses for the Technology Team. Responsibilities include preparing analyses and reports for management, managing purchase requisitions and contracts, and supporting departmental tasks.

The Taxonomy Manager will collaborate with Editorial, Product, and Engineering teams to design and implement a taxonomy system for categorizing media content. Responsibilities include managing taxonomy changes, providing feedback, and ensuring accurate metadata tagging while establishing a strategic vision for taxonomy evolution.

The Marketing Manager will lead the go-to-market strategy for CMA's energy solutions, executing marketing programs targeting various clients. Responsibilities include developing integrated campaigns, collaborating with Sales, analyzing marketing effectiveness, managing resources, and producing content to drive conversions.

The Data Editor will lead efforts to create and integrate data for WSJ Pro products, enhance data journalism, oversee datasets, and collaborate with bureau chiefs. They will facilitate the development of usable data for financial professionals and engage in data visualization strategies.

The VP of Technology, Data & AI is responsible for leading a team of data and AI engineers, shaping data strategies, overseeing data architecture, and driving innovative AI solutions. This role involves collaboration across teams to ensure project delivery aligning with business goals, while fostering a culture of innovation and excellence.

The Senior Software Engineer will work with product teams to deliver effective solutions, design scalable data architectures, implement and maintain database systems, and participate in an Agile environment. Responsibilities include coding, analyzing application requirements, addressing legacy applications, and ensuring the performance of applications.

As a Software Engineer, you will build and maintain core systems, work with product teams for effective solutions, design scalable data solutions, implement database systems, and enhance applications while adhering to best practices in software development.

The QA Specialist role involves testing software products, participating in Agile ceremonies, ensuring products meet business requirements, documenting testing results, and collaborating with development teams to improve product quality. You will also engage in manual testing, validate data, and aid in bug tracking.

The Content Quality Analyst ensures content accuracy and data quality by overseeing content tagging, monitoring data accuracy, and performing analyses. Main responsibilities include evaluating automated tagging systems, managing data performance, conducting quality tests, and addressing client queries. The role also involves collaborating with technical teams and preparing training sessions on quality best practices.

The Data Engineer will design, develop, and maintain database architecture, support software solutions, and ensure data requirements are met. Responsibilities include building scalable data solutions, creating automated pipelines, and mentoring junior engineers while collaborating with product teams to deliver effective data systems.

The Product Manager, AI role is responsible for managing AI-powered products within the B2B portfolio, requiring collaboration with engineering teams to prioritize product roadmaps, monitor product usage, and drive engagement strategies. The position demands strong analytical skills, attention to detail, and expertise in AI technologies to enhance product success and customer retention.

The Senior Data Analyst will extract actionable insights from complex datasets to support informed decision-making across the organization. Responsibilities include creating analytics visualizations and dashboards, designing advanced data models, conducting deep-dive analyses, and communicating insights to stakeholders.

As a Software Engineering Manager at OPIS, you will oversee a team of software developers, ensuring timely and effective delivery of solutions. Your role includes managing scalable data architecture and automated pipelines, maintaining database systems, fostering team growth through coaching, and adhering to best development practices while collaborating within an Agile environment.