Top IT Jobs in Detroit, MI

The IT Lead for Legal Operations oversees technology strategy and delivery, ensuring legal systems are scalable, secure, and aligned with enterprise standards. Responsibilities include application ownership, service delivery, project management, and technology evaluation to support legal processes and foster digital transformation initiatives.

Lead and manage an IT team to deliver strategic IT initiatives, provide subject-matter expertise, drive process improvements, oversee staff performance and budgets, coordinate cross-functional projects, and ensure compliance with security and regulatory standards.

Lead solution design and architecture for application modernization efforts, translating business needs into scalable cloud-based solutions. Facilitate stakeholder communication, create technical artifacts, guide technical teams, troubleshoot system issues, and drive implementation using Agile, Azure/AWS, UI/UX and mobile technologies while ensuring workflows, data models, interfaces, and long-term scalability.

Manage company devices, provisioning, lifecycle, and SaaS accounts; administer SharePoint and shared drives; implement IT security (MFA, endpoint controls); provide day-to-day support; coordinate vendors; develop IT policies, SOPs, and automation to scale internal IT operations.

The Project & IT Budget Analyst manages project coordination and IT budget oversight, supporting strategic initiatives and ensuring financial accuracy.

Provide onboard IT systems support, maintenance, monitoring, backups, inventory, hardware shipping/receiving, equipment repairs, user support and training, and escalate issues to the IT Officer while maintaining security and service standards.

Lead delivery and oversight of internal and client projects, ensuring on-time, on-budget completion. Manage resources, risks, scope, finances, stakeholders, vendor relationships, project documentation, performance tracking, and reporting. Apply project management methodologies (Agile/Waterfall) and leverage AI platforms to increase efficiency.

Design, deploy, and maintain a secure cloud-native Enterprise Data Warehouse using DevSecOps practices. Build and operate automated CI/CD pipelines, IaC, containerized workloads, security/compliance integrations, continuous monitoring, vulnerability management, and change-control. Document processes, provide training, coordinate standards across stakeholders, and produce metrics to drive improvement.

Build and maintain internal platforms, automations, and integrations to scale IT operations. Own identity, access, lifecycle automation, endpoint trust, SaaS provisioning, and operational reporting. Develop scripts and services (Python, Bash), partner with Security and Engineering for secure AI, Zero Trust, HIPAA and SOC 2 compliance, and apply DevOps/SRE/ITIL practices for monitoring and incident response.

Lead and execute IT audit engagements across APAC, evaluating IT infrastructure, cybersecurity, applications, and controls. Use data analytics to design and perform data-driven audit procedures, validate remediation, prepare audit reports and working papers, support continuous auditing and automation, and collaborate with regional/global audit teams and governance forums.

Define and execute enterprise strategy for data, analytics, AI, automation, and innovation. Build data governance, architecture, engineering, BI, and AI adoption (including Generative and Agentic AI). Identify high-value use cases, scale emerging technologies, partner with IT functions, lead high-performing teams, advise executives and board-level stakeholders, and ensure security, privacy, governance, and responsible AI compliance.

Lead IT projects for NHLBI, ensuring planning, execution, and compliance with federal policies. Manage infrastructure, service desk, and cybersecurity initiatives, mentor junior PMs, control scope/schedule/cost/risk, and communicate status to stakeholders. Use Agile/Kanban/Scrum and Waterfall with tools like Jira, MS Project, and Smartsheet; obtain Public Trust clearance.

Manage and coordinate software releases across development, QA, operations, and business teams. Maintain release schedules and listing documents, obtain approvals, enforce rollback and contingency plans, align processes with ITIL 4, participate in ECCB/ECAB, and produce release status reports. Ensure smooth transitions between environments and act as primary release liaison.

Lead day-to-day IT operations and the DLP program: monitor and tune DLP policies, investigate alerts, administer endpoint management (Jamf), remediate vulnerabilities (CrowdStrike), support Okta/SSO provisioning, assist onboarding/offboarding, and collaborate with Security and cross-functional teams to improve IT and security processes.

Senior IT operations leader shaping enterprise operational strategy, disaster recovery, and infrastructure roadmaps. Leads large cross-functional programs, governs standards, advises executives, manages vendor strategy, and mentors engineering staff to improve reliability, performance, and continuity.

Own vendor procurement, contracts, provisioning, and IT strategy for employee hardware/software. Manage SSO/onboarding/offboarding, device management, SOC2 audit evidence, vendor negotiations, cost audits, and automation of provisioning processes.

Lead end-to-end delivery of concurrent IT projects (systems, infrastructure, security, applications), managing lifecycle from intake to stabilization. Develop plans, governance, risk mitigation, schedules, and communications. Coordinate vendors and cross-functional teams, support change management, report to stakeholders, and ensure smooth transition to production while aligning projects to strategic objectives.

Manage and coordinate software release processes including scheduling, approvals, risk mitigation, rollback planning, deployment orchestration, and stakeholder communication. Align release practices with ITIL4, maintain release listings, participate in ECCB/ECAB, and provide visibility reports. Coordinate across development, QA, operations, and business teams to ensure smooth transitions between environments.

Support IT risk management and controls by identifying and assessing IT/security risks, assisting remediation and monitoring plans, supporting audits, documenting controls and processes, and providing training and advisory support to business owners and project teams.

Support federal clients with organizational assessment, data analytics, and visualization. Develop and implement analytic tools/reports, prepare briefings, maintain SharePoint/Teams, collaborate with stakeholders, manage project tasks, and support implementation of recommendations. Remote role with occasional travel; Power Platform experience preferred.

The IT Supervisor will manage IT projects, infrastructure support, team performance, budget, and resource allocation, while ensuring effectivecommunication throughout the organization.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

Design, build, and deploy GraphQL subgraphs: analyze requirements, propose and design schemas, create prototypes, implement resolvers and unit tests, set up CI/CD pipelines with security tooling, enable UI/QA integration, support UAT, and monitor production.

Design, build, and maintain automated test frameworks and scripts. Lead test strategy, planning, and execution across functional, load, integration, security, server-side, and ETL testing. Create test artifacts, run automated tests, analyze results, report defects, participate in CI/CD, code reviews, and agile ceremonies, and drive issue resolution.

Develop prototypes, PoCs, and MVPs for GenAI solutions. Apply deep learning and ML principles using Python, Hugging Face, LangChain, OpenAI API, TensorFlow/Keras/PyTorch, and cloud model services. Work with multi-modal data and intelligent agent tools. Be self-motivated, collaborative, and focused on solving hard AI/GenAI problems.