Pay
In line with similar jobs
$160K–$190K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
New York, NY
Actively hiring, first seen by us 7 days agoThe annual base pay range for this role is between: $160,000—$190,000 USD Candidate Use of GenAI Tools:Read the full posting
Analytics Data Products (ADP) is an enablement team in the Data Platform mission. We support Product Engineering teams across The Times in creating, operating, and stewarding data products by providing onboarding workflows, developer experience, modeling expertise, and data-lifecycle standards. We also build shared behavioral data products, such as Pageviews, Sessions, and client-side Interactions, so core reader behaviors can be measured consistently across missions and standalone experiences. Mission teams remain accountable for their domain data while we work alongside them as a forward-deployed team to help them onboard and publish. You will report to the Senior Director of Data Platform. This is a hybrid role based in our New York City headquarters. You can expect to come into the office 3+ days/week. Responsibilities:Read the full posting
Analytics Data Products (ADP) is an enablement team in the Data Platform mission.
This is a hybrid role based in our New York City headquarters.
Hire, develop, and lead a high-performing engineering team
Own developer experience and tooling such as onboarding, CLI, and templates
Oversee roadmap execution and technical decisions
Build and manage budgets, forecasts, and cloud cost attribution for the team
Partner with product managers to define requirements and retire legacy systems
Analytics Data Products (ADP) is an enablement team in the Data Platform mission. We support Product Engineering teams across The Times in creating, operating, and stewarding data products by providing onboarding workflows, developer experience, modeling expertise, and data-lifecycle standards. We also build shared behavioral data products, such as Pageviews, Sessions, and client-side Interactions, so core reader behaviors can be measured consistently across missions and standalone experiences. Mission teams remain accountable for their domain data while we work alongside them as a forward-deployed team to help them onboard and publish. You will report to the Senior Director of Data Platform.
This is a hybrid role based in our New York City headquarters. You can expect to come into the office 3+ days/week.
Hire, develop, and lead a high-performing engineering team
Own developer experience and tooling (onboarding, CLI, templates, validation, automation)
Oversee roadmap execution, architectural guidance, technical decisions
Develop and maintain budgets, forecasts and a cost attribution model for your team's cloud solutions
Partner with product managers and stakeholders to define requirements and manage change while systematically retiring legacy systems.
1+ years of formal people management experience
4+ years building and supporting production data pipelines
Demonstrated experience managing or leading technical teams with diverse skill sets and backgrounds
Experience enabling successful collaborations across engineering teams and have a knack for bringing engineers together to achieve shared goals
Ability to jump in as needed to assist technically with code reviews, design discussions, and analysis
Experience using SQL to transform data and a working knowledge of at least one of: Python, Java or Go
Experience building developer tooling, onboarding workflows, or internal platforms that other engineering teams adopt
Experience with distributed systems and event-driven architectures and event instrumentation
Experience leading migrations or retiring legacy systems
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$160K–$190K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
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From 7,804 similar postings that came down. Coming down is not always a hire.
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- Ability to jump in as needed to assist technically with code reviews, design discussions, and analysis - Experience using SQL to transform data and a working knowledge of at least one of: Python, Java or Go - Knowledge of relational, columnar, and key-value storage technologies as well as data modeling for analytics
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.
About the Role:
Analytics Data Products (ADP) is an enablement team in the Data Platform mission. We support Product Engineering teams across The Times in creating, operating, and stewarding data products by providing onboarding workflows, developer experience, modeling expertise, and data-lifecycle standards. We also build shared behavioral data products, such as Pageviews, Sessions, and client-side Interactions, so core reader behaviors can be measured consistently across missions and standalone experiences. Mission teams remain accountable for their domain data while we work alongside them as a forward-deployed team to help them onboard and publish. You will report to the Senior Director of Data Platform.
This is a hybrid role based in our New York City headquarters. You can expect to come into the office 3+ days/week.
Responsibilities:
Basic Qualifications:
Preferred Qualifications:
#LI-Hybrid
REQ-020813
Compensation and Benefits For This Role:
In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
Candidate Use of GenAI Tools:
We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.
If you’re an engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.
The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
For information about The New York Times' privacy practices for job applicants, click here.
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Selected passages from the saved posting. Check the full description for conditions and exceptions.
The annual base pay range for this role is between: $160,000—$190,000 USD Candidate Use of GenAI Tools:
New York, NY
Analytics Data Products (ADP) is an enablement team in the Data Platform mission. We support Product Engineering teams across The Times in creating, operating, and stewarding data products by providing onboarding workflows, developer experience, modeling expertise, and data-lifecycle standards. We also build shared behavioral data products, such as Pageviews, Sessions, and client-side Interactions, so core reader behaviors can be measured consistently across missions and standalone experiences. Mission teams remain accountable for their domain data while we work alongside them as a forward-deployed team to help them onboard and publish. You will report to the Senior Director of Data Platform. This is a hybrid role based in our New York City headquarters. You can expect to come into the office 3+ days/week. Responsibilities:
- Experience leading migrations or retiring legacy systems #LI-Hybrid REQ-020813
This passage needs a closer read in the full description.