Data Engineering Manager, Audience Lifecycle

Role Description

As our Audience Lifecycle Software Engineering Manager on the Audience Technology team, you will lead a highly collaborative team of software engineers building, testing, and delivering award-winning features for NPR's flagship audience lifecycle technologies including our data warehouse, data pipeline tools, business intelligence, and personalization technology. 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 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 production bugs or infrastructure incidents.
• Vendor & Contributor Management: Coordinate workflows, code standards, and deliverables for external contributors and specialized development vendors.

Qualifications

• 3+ years of experience directly managing, mentoring, or leading data engineers within an agile organization.
• Prior experience as an individual contributor in engineering, testing, and shipping robust code for at least one large-scale data application or service.
• Demonstrated experience collaborating within cross-functional Agile/Scrum product teams.
• Experience with GCP, AWS or other similar cloud computing platforms.
• Experience managing high availability, distributed and fault tolerant applications, services and APIs.
• Proficiency in SQL and at least one other general purpose programming language such as Python.
• Hands-on experience working with modern version control systems (primarily Git).

Preferred Qualifications

• Professional experience managing both internal employees and external agency vendors/contractors.
• Experience implementing, managing and maintaining data lakes, data warehouses and data ingestion pipelines.
• Experience working with and managing large datasets in platforms such as Salesforce, BigQuery and Looker.
• Experience with audience segmentation, targeting systems, or marketing data infrastructure at scale.
• Strong interpersonal skills with a focus on leadership of cross functional teams.
• Proven ability to manage multiple projects effectively and succeed in a fast-paced environment.

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 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

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

• The U.S. based anticipated salary range for this opportunity is $165,600-$188,000 plus benefits.
• NPR offers access to 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.

NPR Benefits

• Medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees.

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.