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Senior Principal Product Manager - Data Platform

ExperiencedNo visa sponsorship
Dow Jones logo

at Dow Jones

Other

Posted 8 days ago

No clicks

**Senior Principal Product Manager - Data Platform:** Strategize and lead our core data systems, partnering with business, engineering, and newsroom leads. Oversee complex data engineering platforms (Snowflake, data lakes), strengthen analytics, and optimize decision-making. Requires 12+ years' experience in data infrastructure management, technical proficiency in modern data stack, and preferably ML model integration. You'll audit, rationalize, and optimize our sprawling platform backlog. Join our agile Technology team driving digital innovation across media platforms.

Compensation
$175,000 – $215,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Full Job Description

About the Role:

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

You Have:

  • 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)

Our Benefits

  • 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

#LI-Hybrid



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 talentresourceteam@dowjones.com. 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.

Non-Union role

Base Pay Range: $175,000 - $215,000

Were 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 candidates 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.

Req ID: 53452

Senior Principal Product Manager - Data Platform

Compensation

$175,000 – $215,000 USD

City: New York City

Country: United States

Dow Jones logo
Other

8 days ago

No clicks

at Dow Jones

ExperiencedNo visa sponsorship

**Senior Principal Product Manager - Data Platform:** Strategize and lead our core data systems, partnering with business, engineering, and newsroom leads. Oversee complex data engineering platforms (Snowflake, data lakes), strengthen analytics, and optimize decision-making. Requires 12+ years' experience in data infrastructure management, technical proficiency in modern data stack, and preferably ML model integration. You'll audit, rationalize, and optimize our sprawling platform backlog. Join our agile Technology team driving digital innovation across media platforms.

Full Job Description

About the Role:

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

You Have:

  • 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)

Our Benefits

  • 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

#LI-Hybrid



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 talentresourceteam@dowjones.com. 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.

Non-Union role

Base Pay Range: $175,000 - $215,000

Were 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 candidates 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.

Req ID: 53452