New York Times Company logo
New York Times Company

Publisher of the internationally recognized daily newspaper, The New York Times , The New York Times Company is a global media organization whose mission is to

Engineering Manager, Content Data Products

Location

New York

Posted

2 days ago

Salary

$152K - $190K / year

Seniority

Lead

No structured requirement data.

Job Description

Engineering Manager, Content Data Products

New York Times Company

Title: Engineering Manager, Content Data Products Location: New York, NY 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: The New York Times is looking for an Engineering Manager to lead the Content Data Products team. You will report to an Engineering Director and manage a team of engineers who partner with product and project managers, data scientists, newsroom along with other partners. This team builds systems that turn NYT's archive of publishing content into data products. Our teams and external partners will use these tools to obtain insights and build experiences based on NYT content. This team sits within the Publishing group at the New York Times, which is responsible for the content management system for all of the Times. It empowers development teams to build and evolve experiences with speed and quality. This provides editors and creators with a unified and interconnected suite of tools they can use with confidence. The goal is to make the world's best journalism. This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 2 days/week. Responsibilities: - Develop the Team: Manage a team of 6–9 backend engineers. - Promote a culture of collaboration, engineering excellence, and psychological safety. - Oversee Technical Strategy: Guide the team in developing high-throughput, low-latency services and pipelines for data delivery and warehousing. Guide decisions on architecture and technology selection - Build and Deliver: Collaborate with different teams to define roadmaps, plan sprints, and deliver impactful projects. Ensure the team's work is aligned with broader goals. - Ensure Operational Excellence: Lead the reliability, scalability, and performance of the team's services. Champion monitoring, alerting, and on-call practices to maintain high availability for our critical systems. - Collaborate Across Boundaries: Build relationships and coordinate projects across other teams and organizations to ensure successful outcomes. Represent the team in technical discussions and communicate technical challenges and risks. - Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission. Basic Qualifications: - 2+ years of experience in an engineering management or people leadership role - 5+ years of hands-on experience as a software engineer - Demonstrated technical leadership in the delivery of enterprise-scale software projects - Experience hiring, developing and retaining software engineers - Familiarity with cloud-based infrastructure (AWS preferred) Preferred Qualifications: - Leadership & Delegation: Experience developing new talent and delegating complex projects to empower engineers to grow into technical owners - Technical Expertise: Experience with Golang, Python, Java or similar within event-driven architectures, and distributed systems at scale such as Spark or Flink - Data Expertise: Experience working with large-scale data storage and analysis tools such as Postgres, S3, Glue, and Athena - Collaboration: Experience working on projects with non-engineering partners (e.g., Data Science, Legal, External Partnerships) #LI-Hybrid REQ-020307 The annual base pay range for this role is between: $152,000 - $190,000 USD For roles in the U.S., dependent on your role, 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. 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 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. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

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NPR logo

Manager, Mobile Software Engineering

NPR

An extra dose of NPR: the stories behind the stories plus corporate news and announcements.

Full TimeRemoteTeam 1,001-5,000Since 1970H1B No Sponsor

Title: Manager, Mobile Software Engineering Location: Remote Job Description: OVERVIEW A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR. This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR. Intro to Position Do you want to play a major role in the future of public media? Do you have a passion for mobile technology, open-source software, and serving the public? As our Mobile Software Engineering Manager on the Audience Technology team, you will lead a highly collaborative team of mobile software engineers building, testing, and delivering award-winning features for NPR's flagship mobile applications. You will partner closely with our Product, Design, Data, and Editorial teams to identify priorities, architect new features, and continuously improve existing applications. In this role, you will act as a primary champion of team health, career progression, and technical excellence. Responsibilities - People Leadership & Coaching: Manage, mentor, and coach a team of Mobile Software Engineers, actively investing in their career growth, professional development, and psychological safety. - Talent Acquisition & Onboarding: Lead recruitment and hiring efforts for software engineering vacancies on your team, and manage the structured onboarding and training of new engineering staff. - Cross-Functional Collaboration: Partner with product managers, UX designers, data analysts, and editorial partners across all stages of the product development lifecycle. - Agile Delivery Management: Lead the technical planning, scoping, and execution of future software projects, facilitating Agile ceremonies (stand-ups, backlog refinements, sprint planning, and retrospectives) as needed. - Technical Quality & Code Review: Conduct thorough software design and code reviews, providing constructive and substantive feedback to maintain code health, architectural integrity, and security standards. - Continuous Process Improvement: Analyze, propose, and implement engineering workflow improvements to enhance the speed, safety, and quality of software delivery. - Developer Experience Automation: Identify common engineering blockers and pain points, writing helper tools or automation scripts to optimize team developer experience (DX). - Incident & Production Support: Oversee and coordinate the team's response to critical mobile production bugs or infrastructure incidents. - Vendor & Contributor Management: Coordinate workflows, code standards, and deliverables for external contributors and specialized development vendors. The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time. Minimum Qualifications - 2+ years of experience directly managing, mentoring, or leading mobile software engineers within an agile organization. - Prior experience as an individual contributor in engineering, testing, and shipping robust code for at least one large-scale mobile application. - Hands-on proficiency in modern mobile platform languages, specifically Swift/Objective-C (iOS) or Kotlin/Java (Android). - Strong working knowledge of native mobile release infrastructures (such as Apple App Store Connect/provisioning profiles or Google Play Console/staged rollouts). - Hands-on experience working with modern version control systems (primarily Git). - Demonstrated experience collaborating within cross-functional Agile/Scrum product teams. Preferred Qualifications - Professional experience managing both internal employees and external agency vendors/contractors. - Experience with native mobile media streaming frameworks (such as AVKit/AVFoundation for iOS, or Media3/ExoPlayer for Android). - Familiarity with modern responsive design architectures (SwiftUI/Combine or Jetpack Compose/Coroutines), design patterns (MVVM), and automotive platforms (CarPlay/Android Auto). Required Skills/Competencies - Technical Design & Communication: Ability to translate complex technical concepts, system architectures, and engineering trade-offs to non-technical stakeholders. - Inclusive Leadership: Demonstrated competency in fostering an equitable, supportive, and inclusive team culture. - Systemic Problem Solving: Strong analytical skill set with an "automation-first" mindset for resolving manual bottlenecks and production issues. - User-Centric Empathy: A strong focus on quality and empathy for end-users, ensuring highly performant, accessible mobile application experiences. - Agile Operations: Deep fluency in Agile methodologies and software project delivery management. Education Requirements - Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical work experience. Work Location & Requirements - NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or (c) a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position. Job Type - This is a full-time, exempt position. Compensation Salary Range: The U.S.-based anticipated salary range for this opportunity is $165,000 - $175,000 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees. Does this sound like you? If so, we want to hear from you. #LI-REMOTE The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Pay Range $165,000 - $175,000 USD NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law. If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org. You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application. Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.

United States
$165K - $175K / year
Veolia Environnement SA logo

Senior Business Development Manager

Veolia Environnement SA

Veolia Environnement SA is an environmental services company that strives to be the ecological transformation benchmark in the industry. As an employer, the com

Title: Senior Business Development Manager Location: 909 Fannin St, Houston, TX 77010, USA Job Description: - temprop="jobLocation" itemscope="" itemtype="http://schema.org/Place">Employees can work remotely - temprop="employmentType">Full-time - Contract type: Standard Company Description Veolia Group is a global leader in environmental services, operating across all five continents with nearly 218,000 employees. Specializing in water, energy, and waste management, Veolia Group designs and implements innovative solutions for decarbonization, depollution, and resource regeneration, supporting communities and industries in their ecological transformation. Within this framework, Veolia's Water Technology Business brings together a dedicated team of experienced professionals committed to tackling the world’s most complex challenges related to water scarcity, quality, productivity, and energy. Together, we pursue a shared mission to create a more sustainable future. Job Description As a Business Development Manager, you'll be the driving force behind commercial growth in our CMS business segment for the Chemical Process Industry (CPI). Working remotely, you'll lead sales and account management for assigned territories, building lasting client relationships while identifying and closing new business opportunities. This is a strategic role where your expertise will directly influence both short-term wins and long-term business goals. What You'll Do Business Growth & Strategy: - Drive new business development and revenue growth through strategic market analysis - Identify and capitalize on opportunities to increase profitability - Conduct competitive analysis to capture greater market share - Negotiate and close deals that generate sustained revenue Client Relationship Management: - Develop and nurture relationships from initial concept through project completion - Strengthen existing partnerships while acquiring new clients - Manage client contracts ensuring compliance and exceptional satisfaction - Lead client meetings, presentations, and professionally resolve service issues Technical & Project Execution: - Execute process engineering deliverables aligned with contracted design criteria - Prepare and coordinate designs, studies, reports, and proposals - Collaborate across multidisciplinary project teams - Optimize opportunities across Veolia organizations Qualifications What You Bring Education & Experience: - Bachelor's degree in Engineering (Chemical, Industrial, Mechanical), Biology, Chemistry, or related field OR High School Diploma/GED with 4+ years in Water Treatment/Water Process industry - 15+ years of progressive sales experience with proven success in complex business transactions, pricing, and project finance - 5+ years in refinery, chemical plant, or water/wastewater treatment environments - Demonstrated expertise in technical and proposal writing - Track record of managing proposals through commercial closure Skills & Competencies: - Strong knowledge of water and process treatment methods and principles - Familiarity with REGAGEP standards (ISA, API, etc.) - Exceptional organizational skills with ability to manage multiple projects under tight deadlines - Detail-oriented with excellent communication abilities - Self-motivated with proven ability to inspire and lead others - Advanced proficiency in Microsoft Office and Google Suite Requirements: - Willingness to travel within assigned territory - Ability to reside in assigned region or near customer locations - Comfortable working in industrial environments with appropriate safety equipment - Valid driver's license and clean driving record - Ability to pass stringent drug testing and background checks Additional Information Why Veolia? - Make an Impact: Your work directly contributes to solving global environmental challenges - Flexibility: Remote work arrangement supporting work-life balance - Growth: Join a company investing in innovation and sustainability - Purpose: Be part of a team dedicated to creating a more sustainable world Ready to make a difference? Apply today and help us build a more sustainable future for all. Veolia is an equal opportunity employer committed to diversity and inclusion. At Veolia, we realize diverse teams make smarter decisions, deliver better results, and build stronger communities. We’re an organization that champions diversity and inclusion at every rung of the ladder and are proud to be an equal opportunity workplace. Because our people are our greatest assets, we also offer competitive compensation and benefits that include: - Compensation - The salary range is tied to the market for similarly benchmarked roles. The range is not an absolute, but a guide, and offers will be based on the individual candidate’s knowledge, skills, experience, and market conditions, as well as internal peer equity. Depending upon all the preceding considerations for the final selected individual candidate, the offer may be lower or higher than the stated range: $ 145K -165K annually. This role also includes a 25% sales incentive plan (SIP). - Medical, Dental, & Vision Insurance Starting Day 1! - Life Insurance - Paid Time Off - Paid Holidays - Parental Leave - 401(k) Plan - 3% default contribution plus matching! - Flexible Spending & Health Saving Accounts - AD&D Insurance - Disability Insurance - Tuition Reimbursement Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Texas
$145K - $165K / year

Title: Credit Model Development Quantitative Expert Location: Buffalo, NY Washington, DC Baltimore, MD Iselin, NJ Wilmington, DE New York, NY time type Full time Hybrid job requisition id R87678 Job Description: ** Work Arrangement/Location: This is a hybrid position requiring in-office work three days every week. Ideally the position will be based in Buffalo, NY but may be in an M&T office in Buffalo, NY, Baltimore, MD, Bridgeport, CT, Wilmington, DE, Iselin, NJ, Washington, DC, Iselin, NJ, or possibly NY, NY. There is potential for a remote work arrangement, within the United States, if the final candidate is not near one of the above locations OR another M&T corporate office. Overview: Independently develops, implements, maintains, analyzes and manages quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. Serves as Bank-wide or industry expert in key area(s) of quantitative risk management. Provides mentoring, training and guidance to less experienced analysts and may lead/manage teams on a project basis, providing performance feedback to management as appropriate. Primary Responsibilities: - Lead research and development of quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning, including but not limited to, loan delinquency, default and loss models, loan prepayment and utilization models, deposit attrition models, and financial instrument valuation methods. - Prepare, manage and analyze large customer loan, deposit or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool to properly specify and estimate econometric models to understand customer or Bank behavior for the purposes of credit, interest rate, liquidity or stressed capital risk management. Understand context of the Bank’s data and businesses to ensure properly developed models. - Run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software; communicate results, including graphic and tabular forms, to fellow team members, Treasury management and Bank-wide stakeholders, including the business lines and Risk Management colleagues to demonstrate key risk drivers and dynamics of model output. - Execute models in production environment; communicate analytical results to Bank-wide stakeholders. Track portfolio performance, model performance, campaign tracking and risk strategy results. Incorporate observations and data in to existing models to improve predictive results. - Develop, maintain, and manage satisfactory model documentation, including process narratives and performance monitoring guidelines to serve as reference source. - Lead financial analysis and data support to other groups/departments across the Bank as required, serving as Bank-wide expert in area(s) of quantitative risk management. Lead engagements with colleagues in Model Risk Management for model validation exercises. - Provide guidance and direction to less experienced personnel regarding all aspects of data and financial analysis and the development and management of predictive statistical models. - Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc. Adhere to applicable compliance/operational/model risk controls and other second line of defense and regulatory standards, policies and procedures. - Serve as lead in managing Treasury projects and initiatives under guidance and direction of management. Present data, results and/or recommendations to Senior Management as necessary. May lead teams on a project basis, providing performance feedback to management as appropriate. - Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management. - Promote an environment that supports belonging and reflects the M&T Bank brand. - Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. - Complete other related duties as assigned. Scope of Responsibilities: The position serves as a quantitative expert in use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of behavioral models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand analysis and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. The position often leads team-based projects related to model development or implementation. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives within Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions while directing the work of others on the team is a key factor of success in this role. The position may supervise the work of interns and/or lead teams on a project basis, providing performance feedback to management as appropriate. The position also provides guidance and direction to less experienced personnel. Education and Experience Required: - Bachelor’s degree and a minimum of 6 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 10 years’ higher education and/or work experience, including a minimum of 6 years’ proven quantitative behavioral modeling experience - Credit model development experience - Logistic Regression AND Linear Regression experience required - Minimum of 6 years’ on-the-job experience with pertinent statistical software packages, including Python experience (mandatory) - Minimum of 6 years’ on-the-job experience with data management environment, such as SQL Server Management Studio - Minimum of 6 years’ on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs Education and Experience Preferred: - Masters’ of Science or Doctorate degree in statistics, economics, finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management - Minimum of 8 years’ statistical analysis programming experience - Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation - Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression - Experience in balance sheet management and mathematical modeling of financial instruments offered by banks - Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management - Proven track record for being able to work autonomously and within a team environment - Proven leadership skills - Strong desire to learn and contribute to a group - Previous experience leading and directing the work of less experienced personnel M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $123,600.00 - $206,000.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. Location Buffalo, New York, United States of America

New York + 4 moreAll locations: New York | District Of Columbia | Maryland | New Jersey | Delaware
$123.6K - $206K / year
Mastercard logo

Director, Software Engineering

Mastercard

Founded in 1966, Mastercard is a worldwide transaction, payment-processing, and consulting company best known for its line of personal and business credit cards. As an employer, Ma

Full TimeRemoteTeam 38,800Since 1966

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Software Engineering About Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Role Summary Lead Quality Engineering as a strategic function across all CNPF products and platforms. Build and lead a global team of quality engineers obsessively focused on customer experience and product reliability - operating across the full stack (frontend, backend, APIs, data pipelines, AI/ML, infrastructure). Define QE strategy and ensure its execution at pace. The role is responsible for designing, developing, testing, maintaining, and enhancing Mastercard's software solutions to ensure quality, security, scalability, and performance to deliver measurable business value. Key Responsibilities - Develop and execute short-term and medium-term strategic plans for Quality Engineering - Lead the design and delivery of complex testing solutions across full-stack applications, data systems, and infrastructure - Drive test automation strategy - define what to automate, at what layer, with what tooling - Embed quality earlier in the lifecycle (shift-left) and extend into production (shift-right) - Define QE strategy for data products - pipeline validation, data contracts, schema drift detection, ML model quality - Establish evaluation and quality frameworks for AI and agentic products - guardrail testing, hallucination detection, prompt regression testing - Own release quality gates and define ship-or-hold criteria - Drive root cause analysis on production incidents and escaped defects - Manage budget, resource planning, and vendor relationships for QE - Hire, develop, and retain world-class QE talent; build compelling career paths - Evaluate, select, and manage QE tooling; drive build-vs-buy decisions - Stay current with industry QE practices and represent Mastercard externally Qualifications Required: - 12+ years of software engineering experience, with 7+ years focused on Quality Engineering at increasing levels of scope and leadership - 5+ years managing engineering teams, including managing people leaders (managers of managers) - Demonstrated expertise across full-stack application quality (API, UI, microservices) and data/ML system quality (pipelines, models, data platforms) - Track record of defining and executing QE strategy at scale - not just running a test team, but transforming how an organization approaches quality - Experience in financial services, payments, or other highly regulated technology environments - Strong communication skills including the ability to assert quality positions to senior leadership, present to executives, and influence without authority - Experience with budget and resource management, including forecasting, vendor management, and build-vs-buy decisions - Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: - Abide by Mastercard's security policies and practices; - Ensure the confidentiality and integrity of the information being accessed; - Report any suspected information security violation or breach, and - Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Ireland