Senior Principal Product Manager - Data Platform

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. 

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.

• 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

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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.