NielsenIQ
Senior Director, Engineering
Toronto, ON, Canada · Director
Sponsorship not specifiedDetected 1 day ago
PythonJavaAngularDistributed SystemsAzureCI/CDAPI DevelopmentData AnalysisData ScienceRAGAI OrchestrationProduct StrategyAgileStakeholder ManagementTest AutomationLeadershipCommunicationMentoring
About the role
- This is a people leadership role that requires deep software engineering roots.
- The ideal candidate is a constructive challenger who can question legacy assumptions, elevate engineering standards, and guide mature SaaS capabilities toward an AI-first future.
- Apply practical understanding of GenAI tools and AI-assisted engineering practices to improve SDLC effectiveness, developer productivity, software quality, testing, documentation, and modernization efforts.
Responsibilities
- Lead the evolution of customer-facing SaaS product engineering capabilities from a mature SaaS model toward an AI-first product and engineering model.
- Drive AI-enabled product innovation that improves customer workflows, decision support, automation, insight generation, and product differentiation.
- Partner with product, architecture, security, privacy, data governance, and responsible AI stakeholders so AI-enabled capabilities are implemented thoughtfully within enterprise standards.
- Engineering Strategy, Architecture, and System Design
- Provide deep technical leadership in architecture reviews, system design discussions, and critical engineering tradeoff decisions.
- Guide the design and modernization of large-scale distributed systems, cloud-native services, APIs, data-intensive product platforms, and integrated user experiences.
- Raise the engineering bar around system design, design discipline, architectural decision-making, and long-term technical sustainability.
- Drive engineering delivery outcomes across complex, customer-facing SaaS product capabilities while ensuring alignment across Product, Architecture, Engineering, and Business stakeholders.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
Nice to have
- Experience leading AI-driven product transformation initiatives that created measurable customer value or commercial impact.
- Experience with modern AI/GenAI application patterns, orchestration frameworks, model integration, retrieval-augmented generation, agentic workflows, or AI-enabled analytics experiences.
- Experience in retail, CPG, consumer measurement, market intelligence, data analytics, or adjacent data-rich enterprise domains.
- Experience improving engineering operating models through metrics, platform thinking, engineering productivity practices, and production excellence.
- What Success Looks Like
- AI-enabled product capabilities are being delivered with clear customer value, measurable product impact, and strong engineering foundations.
- GenAI-enabled engineering practices are adopted in practical, measurable ways that improve productivity, quality, modernization, and developer effectiveness.
- Mature SaaS capabilities are modernized without compromising reliability, performance, security, customer commitments, or delivery predictability.
Company info
- NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.
- In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach.
- With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™.
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This listing is sourced directly from NielsenIQ's careers page and normalized into a canonical job model.