As Senior Principal Product Manager - Data Platform, you will be the portfolio owner of our data and content engineering platform within the Technology department. You will set the visionary strategy for the core data systems that all Dow Jones data and content flow through. In this highly strategic role, you will act as a partner to business, engineering, and newsroom leads - translating complex challenges into a clear enterprise data architecture. You will report to the VP of Product Management - Platforms.
About the Team:Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.
You Will:Drive Systemwide AI Readiness: Build the scalable, trusted, and well-governed data foundation (including the data lake, Snowflake ecosystem, and data governance) Transform Internal Decision-Making: Strengthen the analytics engineering and semantic layer
Optimize Organizational Execution: Audit and rationalize a sprawling platform backlog
Establish Rigorous Decision-Making Frameworks: Cut low-leverage work and translate downstream needs into clear, unified platform paradigms
12+ years’ product management experience overseeing complex data engineering platforms, content pipelines, or data infrastructure at scale
Advanced technical knowledge of modern data stack architecture, specifically Snowflake, data lakes, and analytics infrastructure
Deep domain expertise in enterprise data governance, regional privacy compliance (including European user constraints), and DataOps
Technical proficiency in pipeline orchestration, compute optimization, and semantic modeling
Bachelor's degree in Computer Science, Information Systems, Business, or equivalent experience
Background in media, information services, or content-rich businesses (preferred)
Direct experience architecting data layers that support internal AI agents or ML models (preferred)
Comprehensive Healthcare Plans
Paid Time Off
Retirement Plans
Comprehensive Insurance Plans
Lifestyle programs & Wellness Resources
Education Benefits
Family Care Benefits & Caregiving Support
Commuter Transit Program
Subscription Discounts
Employee Referral Program
Learn more about all our US benefits
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Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets
Reasonable Accommodation
We are 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 or participating in an interview due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.
Business Area:
Dow Jones - TechnologyJob Category:
Software Product EngineeringUnion Status:
Non-Union roleBase Pay Range: $175,000 - $215,000
We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.
For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
Skills Required
- 12+ years product management experience overseeing complex data engineering platforms, content pipelines, or data infrastructure at scale
- Advanced technical knowledge of modern data stack architecture, specifically Snowflake, data lakes, and analytics infrastructure
- Deep domain expertise in enterprise data governance, regional privacy compliance (including European user constraints), and DataOps
- Technical proficiency in pipeline orchestration, compute optimization, and semantic modeling
- Bachelor's degree in Computer Science, Information Systems, Business, or equivalent experience
- Background in media, information services, or content-rich businesses
- Direct experience architecting data layers that support internal AI agents or ML models
What We Do
When you join Dow Jones, you become part of the most dynamic, creative and savvy news and information companies in the world. As a global leader in news and business intelligence, we're newswires, websites, newspapers, apps, newsletters, databases, magazines, and video --including some of the widest-read and most-respected brands, like The Wall Street Journal, Factiva, Barron’s, MarketWatch, Financial News, DJX, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones VentureSource. Our products inform the discussions and decisions that are vital to the world's commerce, while our databases make the business world more transparent. We continually develop technology to transform information into insight and prosperity. We enlighten and inspire audiences around the globe with authoritative, differentiated and trusted content.
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