Manager, Engineering

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available to consumers and markets worldwide. We help clients drive growth by providing a comprehensive understanding of what consumers buy and why. Our innovative solutions and services empower businesses to make informed decisions and stay ahead in a competitive market.

Engineering Manager (M6)

We are seeking an Engineering Manager to lead a team of engineers delivering high-quality services on a stack that includes Java, Spring Boot, Python (NumPy), REST APIs, Flask APIs, and Azure.

Responsibilities

Manage a team of engineers, often including early-career professionals, coordinate resources and set short-term priorities to meet operational objectives; Set performance and productivity expectations, coach team members on performance, growth, and career development; Ensure the team’s integration with related areas to deliver programs, services, and results; Apply business practices and methods within the engineering discipline, make decisions that improve the quality, efficiency, and effectiveness of your own team and related teams, guided by policies, procedures, and cascaded goals; Identify, anticipate, troubleshoot, and resolve day-to-day functional, technical, operational, and service problems, establish new techniques where needed to ensure the team meets its objectives; Provide technical direction on services built with Java, Spring Boot, Python (NumPy), REST/Flask APIs, and Azure, guide design and code review practices; Own delivery commitments: sprint planning, PI planning participation, estimation quality, and predictability; Drive engineering quality: CI/CD maturity, quality gates, unit and integration test coverage, and DevSecOps practices (SAST, DAST, secrets management); Manage production health for owned services: monitoring, incident response, root cause analysis, and continuous improvement; Collaborate with Product, Architecture, and PMO to align team roadmap with business priorities; Explain information to team members, internal clients, and peers, convey performance expectations and handle complex, sensitive issues with professionalism; Foster adoption of AI-assisted engineering tools across the team’s SDLC

Requirements

8- 12 years of relevant software engineering experience, including 1+ years of people management or formal team leadership experience; Strong hands-on background in Java, Spring Boot, and Python, with working knowledge of NumPy-based data processing; Solid understanding of REST API design and API service ecosystems, including Flask-based services; Experience delivering and operating applications on Azure with Docker and Kubernetes; Experience with RDBMS and NoSQL databases, messaging/queuing, and caching; Working knowledge of DevSecOps pipelines, quality gates, and security tooling; Demonstrated ability to coach engineers, manage performance, and grow talent; Experience in Agile/SAFe delivery environments, including sprint and PI planning; Strong communication skills and the ability to handle complex, sensitive issues; Excellent problem-solving skills and sound judgment under delivery pressure

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)