{"id":1952369,"url":"https://alion.io/job/nielseniq-director-engineering","title":"Director, Engineering","company":{"id":9378,"name":"NielsenIQ","domain":"nielseniq.com","url":"https://alion.io/company/nielseniq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":150000,"max":176000,"currency":"CAD","period":"year","gross":null,"usd_annual":123419},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Angular","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"JavaScript","optional":true},{"name":"RAG","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-06T08:37:02Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-11T18:35:54Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"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™.\n About the Role\nWe are seeking a Director, Software Engineering to lead the engineering teams building and operating customer-facing SaaS product capabilities from our India engineering hub. This leader is accountable for the delivery, quality, and technical health of a significant part of our product engineering portfolio, and for building the engineering leadership and technical talent that sustains it.\nThis is a people leadership role with deep software engineering roots. The successful candidate will lead through Engineering Managers, Senior Managers, and Principal Engineers, remain credible in architecture and system design discussions, and translate product and business priorities into clear, executable engineering direction.\nThe role operates in a globally distributed, matrixed environment and partners closely with Product Management, Architecture, Data, Security, and Quality Engineering. The ideal candidate raises the engineering bar, improves delivery predictability and production quality, and helps move mature SaaS capabilities toward an AI-first product and engineering model.\nKey Responsibilities\nEngineering Delivery and Execution\nOwn engineering delivery outcomes for a defined set of customer-facing SaaS product capabilities, including scope, quality, predictability, and time to market. \nTranslate product roadmaps and business priorities into executable engineering plans, team commitments, and sequenced delivery milestones through subordinate managers and technical leaders. \nSet team and department priorities, allocate engineering resources across competing demands, and manage capacity, staffing plans, and budget inputs for the area. \nBalance new feature development with modernization, technical debt reduction, and continuity of existing customer commitments. \nUse engineering metrics - delivery predictability, cycle time, escaped defects, change failure rate, and availability - to identify systemic issues and drive measurable improvement. \nManage delivery risk proactively, escalating with clear options and recommendations rather than surfacing problems late. \nTechnical Leadership, Architecture, and System Design\nProvide hands-on-credible technical leadership in architecture reviews, design discussions, and critical engineering trade-off decisions across the teams in scope. \nGuide the design, modernization, and operation of large-scale distributed systems, cloud-native services, APIs, and data-intensive product platforms. \nDirect the identification and resolution of complex, multi-dimensional technical and operational problems, leveraging resources within and outside the immediate area. \nChallenge legacy assumptions constructively and drive improvements in scalability, reliability, performance, security, maintainability, and cost efficiency. \nEnsure architectural decisions in the area are documented, consistent with enterprise standards, and aligned to the longer-term platform direction set by senior engineering leadership. \nRaise the standard of design discipline, code quality, and technical decision-making across the teams. \nAI-First Product and Engineering Adoption\nDrive adoption of AI-enabled capabilities within the product area, partnering with Product, Architecture, Data Science, and Responsible AI stakeholders. \nApply GenAI tools and AI-assisted engineering practices across the SDLC to improve developer productivity, code and test quality, documentation, and modernization throughput. \nEstablish practical guardrails for AI usage in engineering workflows in line with NIQ security, privacy, and data governance standards. \nEvaluate AI adoption on measurable outcomes - customer value, quality, and speed - rather than on tooling activity. \nProduction Excellence and Engineering Operations\nEnsure the capabilities in scope are designed, delivered, and operated to strong standards for reliability, availability, scalability, performance, security, and quality. \nStrengthen engineering practices across CI/CD, test automation, observability, operational readiness, and incident management. \nOwn the operational health of the area, including on-call effectiveness, incident response, root cause analysis, and follow-through on corrective actions. \nPromote a production-first mindset in which operability, supportability, resilience, and cloud cost efficiency are treated as core design considerations. \nPeople Leadership and Talent Development\nLead, coach, and develop Engineering Managers, Senior Managers, and Principal Engineers; occasionally manage senior individual contributors directly. \nOwn performance management for the area, including goal setting, performance appraisals, pay review input, development planning, and succession planning. \nBuild the India engineering talent pipeline through hiring, onboarding, internal mobility, and targeted capability building in AI, cloud, and modern engineering practices. \nShape team structure, spans, and ownership boundaries so teams have clear accountability and sustainable workloads. \nCreate a culture of ownership, accountability, constructive challenge, customer focus, inclusion, and continuous learning. \nLead effectively across time zones and cultures within a globally distributed engineering organization. \nStakeholder Partnership and Influence\nPartner with Product Management, Architecture, Design, Data, Security, and Quality Engineering to align on priorities, dependencies, and investment trade-offs. \nInfluence peers, senior engineering leaders, and cross-functional stakeholders to build consensus and adopt recommendations. \nCommunicate clearly with technical and non-technical audiences, translating engineering topics into business-relevant decisions, risks, and outcomes. \nRepresent the India engineering organization in global forums, planning cycles, and technical governance discussions. \n Bachelor’s degree in Computer science, Engineering, or a related technical field; advanced degree preferred. \n12+ years of progressive software engineering experience, including 4+ years of formal people leadership. \nProven experience managing engineering managers and/or principal-level engineers, with accountability for a multi-team area or sub-function. \nDemonstrated success delivering customer-facing enterprise SaaS products, data-intensive platforms, analytics products, or comparable large-scale commercial software. \nExperience improving engineering outcomes in mature SaaS environments through modernization, technical debt reduction, quality improvement, and delivery acceleration. \nExperience leading or contributing to AI-enabled product capability development within enterprise SaaS or comparable environments. \nExperience working in globally distributed, matrixed engineering organizations, including partnering with teams and leaders outside India. \nTechnical Expertise\nStrong software engineering background with practical depth in system design, distributed systems, and architecture. \nSolid understanding of cloud-native architecture, scalable platform design, API design, integration patterns, performance optimization, and reliability engineering. \nPrior hands-on engineering experience and leadership familiarity with technologies used by modern SaaS teams, including Java, Python, Angular, Azure cloud services, and AI/GenAI technologies and frameworks. \nAbility to evaluate architectural options, challenge design assumptions, and guide trade-offs across speed, quality, scalability, cost, security, and maintainability. \nStrong command of modern software development practices, including Agile delivery, CI/CD, automated testing, observability, secure engineering practices, and production operations. \nLeadership Capabilities\nTrack record of building and developing high-performing engineering teams and first-line leaders. \nAbility to challenge the status quo constructively and bring others along through influence, clarity, and technical credibility. \nStrong stakeholder management and communication skills across technical and non-technical audiences, including senior leadership. \nHigh personal accountability for engineering outcomes, customer impact, and business-aligned execution. \nAbility to operate effectively in ambiguity, make decisions with incomplete information, and create alignment across competing priorities. \nSound judgment on people matters, including difficult performance conversations and sensitive employee situations. \nPreferred Qualifications\nExperience scaling an offshore or India-based engineering organization with global product ownership rather than staff augmentation. \nExperience with modern AI/GenAI application patterns, orchestration frameworks, model integration, retrieval-augmented generation, or agentic workflows. \nExperience in retail, CPG, consumer measurement, market intelligence, data analytics, or adjacent data-rich enterprise domains. \nBackground in product-led technology organizations with close partnership across Product Management, Design, Architecture, Data Science, and Security. \nExperience improving engineering operating models through metrics, platform thinking, and developer productivity practices. \n What Success Looks Like\nDelivery in the area is predictable, transparent, and aligned to committed product outcomes. \nCustomer-facing systems show measurable improvement in reliability, performance, quality, and speed of change. \nAI-enabled capabilities and GenAI-assisted engineering practices are adopted in practical, measurable ways. \nModernization progresses without compromising reliability, security, or existing customer commitments. \nEngineering managers and senior technical talent operate at a higher bar, with stronger ownership and technical judgment. \nThe India engineering organization is recognized as a source of end-to-end product ownership and engineering leadership. \nAttrition is controlled, hiring targets are met, and the internal talent pipeline is visibly stronger. \nIdeal Candidate Profile\nThe ideal candidate is a technically grounded engineering leader who has moved from building systems to building teams that build systems - without losing technical credibility. They can hold their own in an architecture review, and they can run a performance calibration the same week.\nThey have delivered customer-facing enterprise SaaS at scale, and they understand what it takes to modernize a mature platform while keeping existing customers whole. They treat AI adoption as a means to improve customer value, quality, and speed rather than as a technology trend in itself.\nThey are a constructive challenger: intellectually curious, self-critical, comfortable questioning legacy approaches, and skilled at bringing people along in a matrixed, globally distributed environment.\nOur Benefits\nFlexible working environment\nVolunteer time off\nLinkedIn Learning\nEmployee-Assistance-Program (EAP)\nNIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accomm...","description_format":"text","description_chars":13825,"description_truncated":true,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning","Equity","Flexible schedule"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Government"],"lifecycle":[{"event":"open","at":"2026-10-06T10:30:43Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.619,"p_room":1,"age_days":3,"expected_fill_days":14,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":123419,"is_top_pay":false},"html_url":"https://alion.io/job/nielseniq-director-engineering","json_url":"https://alion.io/job/nielseniq-director-engineering.json","meta":{"generated_at":"2026-10-11T20:15:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7957,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":9378},"rest":"https://alion.io/mcp/rest/get_company?id=9378"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnielseniq-director-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnielseniq-director-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnielseniq-director-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nielseniq-director-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnielseniq-director-engineering"}]}