Technical Product Manager II, Data Platforms

Thenewyorktimes; New York (NY); On-site; USD 120,000 - 142,000; Full time

Benefits offered by this job

Medical benefits

401(k) matching

Paid vacation

Job summary

The New York Times is looking for a Technical Product Manager to develop the product management function within its Data Platform. You will collaborate with engineers, data scientists, and analysts in New York City to enhance data products and infrastructure.

The ideal candidate should have 4+ years of relevant experience, strong communication skills, and a solid background in data analysis and governance. Competitive salary and benefits are provided.

Qualifications

• 4+ years of experience designing and building data products.
• Experience in implementing complex data systems.
• Understanding of data handling and infrastructure.

Responsibilities

• Collaborate to create a data products roadmap.
• Deliver high-quality data products for media-based decision-making.
• Engage with teams to understand data needs.

Skills

Data product design

Data analysis

Data governance

Technical communication

Education

4+ years of experience as a product manager

Tools

SQL

Python

AWS

BigQuery

Spark

Job description

The Mission

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.

Mission Overview & Responsibilities

The Data Platform Mission aims to empower the organization to access and use data to answer important questions, power user experiences, and to make strategic decisions.

We are looking for a Technical Product Manager that can help develop the product management function within Data Platform. You will partner with many different teams and roles to develop data products, capabilities, and technologies. This role is based in our New York City office in Times Square.

As a Technical Product Manager, you'll work with teams of engineers, data scientists, and analysts to build a strategy for improving end-to-end data infrastructure to make collecting data, processing it, and using it to make data-driven decisions and experiences as efficient as possible. You will create impact through reusable, extensible, and scalable platform capabilities that can address different use cases.

Responsibilities

• Collaborate with data leaders to create a coordinated data products roadmap.
• Deliver high-quality, easy-to-use data products across many domains that enhance data-driven decision-making.
• Deliver data products that help data analysts, scientists, product managers, and others to discover and consume information about our content and business.
• Establish product lifecycle and processes to ensure data product quality.
• Partner with teams across the organization to understand and address data and analytics needs.
• Collaborate with product and engineering teams to prioritize requests, communicate progress, and deliver impactful work.
• Deliver iterative products that provide incremental value and gather quick feedback from partners.
• Use qualitative and quantitative methods to measure the impact of your work.
• 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.
• You will report to the VP of Data Platform Product.

Basic Qualifications

• 4+ years of experience designing and building data products as a product manager or equivalent role.
• Track record implementing complex data systems applying supporting data analysis, reasoning, and optimization as part of the decision-making process.
• Experience in data handling approaches and technologies.
• Understanding of data governance, data modeling, data pipelines, and data infrastructure.
• Experience communicating complex technical concepts to a variety of audiences.

Preferred Qualifications

• Background in software development, engineering, data science, or analytics.
• Hands-on experience developing data products.
• Familiarity with data querying languages and technologies (ex: SQL, python, BigQuery, AWS, or Spark).

Salary and Benefits

Annual base pay range: $120,000—$142,000 USD. For roles in the U.S., you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process.

Equal Opportunity Employer

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.

Accommodation

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 [e-mail]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

Fair Chance Hiring

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.