Jobs at Target

Leads complex, cross-functional projects and programs across Target’s financial products portfolio, including payments, credit, debit, and stored value. Partners with Product, Finance, Technology, Risk, Compliance, and external stakeholders to define priorities, manage roadmaps, mitigate risks, drive execution, and deliver business outcomes. Uses data, industry insights, and structured program-management processes to improve efficiency, profitability, guest experience, and enterprise alignment. May coach team members and manage timelines, dependencies, and decisions.

Lead quantitative UX research for Target's enterprise products: own measurement programs (SUS, Voice of Vendor/Partner, intercepts, benchmarking), design and run large-scale surveys and experiments, perform statistical and driver analyses, develop dashboards and reusable measurement frameworks, partner with cross-functional teams to connect attitudinal and behavioral data, and translate quantitative findings into actionable product and business insights.

Participates in Target’s Financial Analyst Development Program and performs Financial Planning & Analysis work, providing analytical insights, problem-solving, financial decision support, and cross-functional collaboration. The program includes case studies, job shadows, presentations, and leadership panels across FP&A, preparing analysts for future career growth.

Leads the architecture, engineering, and evolution of an enterprise Windows endpoint platform using Microsoft Intune. Responsibilities include Autopilot and Intune migrations, endpoint standards, compliance, security baselines, application deployment, automation with PowerShell and Microsoft Graph, incident root-cause analysis, testing, stakeholder alignment, and mentoring. The role also evaluates Microsoft capabilities, drives platform quality controls, and may develop APIs or internal tooling using Go or Java Spring Boot.

Lead design and implementation of scalable, high-performance application architecture. Drive code and design reviews, mentor engineers, triage and resolve operational issues, lead disaster recovery, embed data quality protocols, evaluate new technologies, and manage product lifecycle and cost of ownership.

Leads financial strategy and planning for Target’s international and domestic first-mile transportation operations. Responsibilities include annual planning, forecasting, performance management, financial modeling, evaluating transportation investments, improving analytical processes and reporting, and presenting executive-level recommendations. The role partners extensively across Supply Chain and the enterprise to optimize efficiency, capacity, service, and costs while supporting strategic and operational decision-making.

Develop and maintain scalable, secure software components; participate in architecture, design, code reviews, automation, debugging, testing, disaster recovery, and lifecycle management. Resolve technical issues, monitor system capacity, support incident and change management, evaluate emerging technologies, and contribute to proof-of-concept initiatives while maintaining software quality and operational reliability.

Provide SOX IT subject-matter expertise by assessing ITGCs (access, change management, operations), performing technical testing, onboarding applications, advising on control design and remediation, and partnering with auditors and technology teams to maintain SOX compliance.

As a Lead Engineer, you will enhance the Kafka/Streaming platform, develop infrastructure solutions, troubleshoot issues, and mentor team members.

As a Lead Engineer, you will design scalable architectures, lead development efforts, integrate AI features, ensure product reliability, and promote security and observability practices.

Design and own high-throughput, low-latency AdTech components (SSP/DSP/Ad Servers). Drive architecture, mentor engineers, collaborate with Product/Data, debug distributed systems, and ensure scalability, reliability and operational excellence.

The role involves leading engineering initiatives in cybersecurity AI, developing architectures, collaborating cross-functionally, and integrating AI capabilities into solutions, ensuring operational readiness and standards compliance.

The Lead Specialist Payroll FinOps manages payroll activities, resolves complex payroll issues, coaches specialists, and ensures compliance with payroll policies.

As a Lead Engineer in Cyber AI, you will lead engineering initiatives in cybersecurity, develop AI solutions, and collaborate with teams to enhance capabilities.

Leads software architecture, development, code and design reviews, testing, debugging, automation, implementation, disaster recovery, and technical issue resolution. Evaluates emerging technologies, manages service lifecycle and costs, ensures scalable and secure deliverables, embeds data quality standards, and coaches engineers. Requires strong software development expertise, distributed programming knowledge, framework proficiency, Agile understanding, and the ability to design and implement high-performance systems.

Develop and maintain scalable, secure software components; contribute to architecture, code and design reviews, automation, debugging, testing, disaster recovery, and system monitoring. The role evaluates emerging technologies, supports lifecycle management, resolves technical issues, follows change and incident standards, and builds domain-specific solutions using package technologies and programming languages.

Develop and maintain scalable, secure software components; contribute to architecture, technology evaluations, proofs of concept, code and design reviews, automation, testing, debugging, disaster recovery, and incident management. Monitor system capacity, resolve technical issues, manage metadata and metrics, and follow operational and change-management standards.

Lead Available to Promise product portfolios (Availability and Guest Fulfillment Optimization Engine). Set strategy, OKRs, budgets, and roadmaps; manage and mentor product managers; partner with Data Science, Engineering, and cross-functional teams to deliver data-driven optimization, improve digital purchasability, reduce fulfillment costs, and enhance guest experience.

Design and build scalable, resilient backend microservices; lead hands-on development; integrate LLMs/GenAI and agentic automation; ensure observability, security, CI/CD, testing, and cloud-native deployment; mentor teammates and drive operational reliability.

Lead an engineering team building strong authentication and IAM capabilities. Own product roadmap, architecture, secure scalable solutions, stakeholder partnerships, DevOps/CI/CD practices, and career development while balancing security and user experience.