Engineering Manager, Analytics Data Products

Digitailor; New York (NY); Hybrid; USD 160,000 - 190,000; Full time

Benefits offered by this job

Medical, dental and vision benefits

Company 401(k) plan

Employee stock purchase plan

Paid vacation

Paid sick days

Parental leave

Tuition reimbursement

Job summary

The New York Times is seeking a senior Analytics Data Products leader in New York City to guide an enablement team within the Data Platform mission. The role focuses on onboarding workflows, developer experience, and data lifecycle standards across product engineering teams.

You will report to the Senior Director of Data Platform and work in a hybrid mode, coming into the NYC headquarters 3+ days per week to drive roadmap execution and architectural decisions that support journalistic

Qualifications

• 1+ years of formal people management experience
• 4+ years building and supporting production data pipelines
• Experience enabling successful collaborations across engineering teams
• Strong SQL skills and knowledge of Python, Java, or Go

Responsibilities

• Hire, develop, and lead a high-performing engineering team, fostering collaboration and high productivity
• Own developer experience and tooling (onboarding, CLI, templates, validation, automation) and define success metrics
• Oversee roadmap execution, architectural guidance, and technical decisions
• Develop and maintain budgets, forecasts and a cost attribution model for cloud solutions
• Partner with product managers and stakeholders to define requirements and manage change while retiring legacy systems
• Demonstrate commitment to journalistic independence and mission

Job description

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

Hire, develop, and lead a high-performing engineering team, fostering a culture of collaboration, innovation, and high productivity Own developer experience and tooling (onboarding, CLI, templates, validation, automation) and define and track success metrics such as producer adoption and data reliability 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. Develop and maintain budgets, forecasts and a cost attribution model for your team's cloud solutions Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

Basic Qualifications

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 Knowledge of relational, columnar, and key-value storage technologies as well as data modeling for analytics Passion for the Times' mission and desire to join us at a moment in history where our data has the power to transform every aspect of creation and practice of journalism

Preferred Qualifications

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 #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. The annual base pay range for this role is between: $160,000 — $190,000 USD 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.