The Chief Data Officer is responsible for developing and governing the collection, management and storage of data across the organization and analyzing and deriving insights from data to inform business strategy and value in order to drive business decisions, growth and new products. This role will evolve the data platform and develop extended data capabilities including machine learning, applied AI, data science, data engineering, BI, and strategic analytics to drive continuous business growth. In addition, the Chief Data Officer will provide vision and strategy for data initiatives across the organization and will be responsible for setting enterprise data strategy, governance, standards and quality in collaboration with data stakeholders from across the organization.
Lead the data team to deliver data and strategic data science approaches that help optimize Dow Jones’ products, customer experience and guide ongoing product and business decisions to strengthen the company's competitive edge.
Partner with business and key stakeholders to evaluate and implement the tools and processes necessary to aggressively drive our data needs for both new and existing products and services and track business KPIs and product OKRs
Lead the buildup of customer 360 to develop a holistic view on customer interaction with Dow Jones brands for better customer experience and product development
Guide the establishment of high-performance, scalable, and reliable data platform and machine learning infrastructure that enable content and experience personalization to enhance relevance and value of our product
Drive the development of machine learning models to drive personalization, traffic conversion, customer churn prevention, and increased customer LTV
Establish and enhance an experimentation platform and provide analytical support on experiment design and metrics innovation
Define a long-term data strategy that enables sophisticated decision-making across business; establish best practices of data governance and management
Foster a collaborative, enterprise digital transformation innovation across the organization focusing on cost reduction and revenue generation
Lead and develop a high-performing, cross-functional team in support of strategic and growth initiatives.
Support analytics and reporting on products, customers, operations, and markets
Implement, monitor and govern enterprise data privacy policies and complying with data protection regulations
Establish data standards for analytical data over business terms, business definitions, enterprise code sets, data elements and business rules
Drive issues to resolution. Inspire teams to over-achieve in a fast-paced, distributed environment.
Enable data usability, availability and efficiency to create product strategies to address market needs and translate into a product roadmap.
Define business and investment cases for new products.
Work collaboratively across the business and with an experienced leadership team to lead short and long range data planning processes.
Coach the organization around best practices for data collection, transformation, quality testing and storage; oversee development of data certification techniques
Grow a diverse, inclusive, multidisciplinary, and high performing data team through recruiting and mentorship; promote a growth-mindset for all team members
Coach and mentor the next generation of Dow Jones data leaders
Preferred Qualifications :
Passionate and knowledgeable about data products, platforms, and the evolving landscape.
Intellectually curious out-of-the-box thinker who is passionate about brainstorming innovative ways to use data to solve business problems
15+ years of progressive experience in data management, product development, and/or data governance.
Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or equivalent field. Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science preferred (graduate degree is a plus).
Experience with extracting and aggregating data from large data sets using SQL, Hive or other tools
Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or related technology)
Technical background in data with deep understanding of issues in multiple areas such as data acquisition and processing, data management, distributed processing, and high availability is required. Experience in statistics, data mining, machine learning and operational excellence of production systems is a plus.
Strong at technical goal setting for a project with actionable success metrics. Good knowledge and experience on measuring a service from a user experience angle.
Excellent communication and negotiation skills, capable of building enthusiastic support for new ideas and converting resistance to endorsement with robust collaboration with various stakeholders, leaders and agile team(s) across the organization.
Experience in attracting, developing and mentoring diverse talent
Strong interpersonal and communication skills; ability to communicate effectively across the full spectrum of internal stakeholders and customers.
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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: Information Technology
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: 27929