Enterprise Applications Manager Jobs
Enterprise Applications Manager jobs are open across manufacturing, healthcare, financial services, and higher education, covering specializations in ERP, CRM, and ITSM, at every level from analyst-track manager to director and VP. Scan the live roles below and apply to whichever ones fit.
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Position Purpose
Lead TAIT's Enterprise Data, Integration and AI Engineering organization, responsible for enterprise applications, data platforms, cloud engineering, system integrations, analytics and AI enablement. This hands-on technology leader drives delivery across Databricks, AWS, MuleSoft, data engineering, application development and enterprise architecture while building scalable platforms, modernizing legacy systems and enabling business growth through trusted data and governed AI solutions.
Responsibilities
Lead people and enterprise IT engineering
- Own the roadmap delivery with the VP, Enterprise Applications and Transformation Architect, prioritizing business value, risk, dependencies, cost and capacity. Coach teams and partners; establish standards, accountability, career development and knowledge sharing.
- Contribute directly to architecture, code, reviews, pipelines, integrations and troubleshooting. Partner with business, application, Cybersecurity, Infrastructure and change leaders to deliver maintainable solutions and reduce key-person dependency.
- Lead multidisciplinary teams across software engineering, data engineering, analytics, cloud engineering, enterprise integration and AI solutions.
Build modular platforms and integrations
- Use commercial platforms for transactions and controls, favoring configuration over customization. Build TAIT differentiators through loosely coupled services, common enterprise objects and governed data exchange.
- Lead MuleSoft adapters, custom connectors and orchestration (directors), separating system mappings from business logic. Require authenticated APIs, semantic versioning, events, idempotency, retries, reconciliation, monitoring, mocks and contract tests; expose approved capabilities through Model Context Protocol (MCP).
- Establish enterprise integration architecture standards supporting ERP, CRM, PLM, HCM and operational systems using API-led connectivity and event-driven architecture principles.
Review and modernize legacy custom application
- Assess legacy custom applications, scripts and integrations with business owners to confirm business value, usage, dependencies, security, supportability and cost. Prioritize what to retain, replace with commercial capabilities, modernize or retire; preserve valuable business logic and institutional knowledge
- Modernize and redeploy selected solutions using current platforms, supported frameworks, cloud services and AI-assisted engineering where appropriate. Refactor into maintainable components with governed APIs and data access, automated testing, CI/CD, monitoring and documentation; validate business outcomes and data reconciliation before transition, with clear ownership, training and rollback plans.
- Drive application modernization and digital transformation initiatives that improve scalability, reliability, user experience and operational efficiency.
Curate trusted enterprise data
- Mature Databricks Lakehouse Platform on AWS, leveraging Delta Lake, Unity Catalog, Bronze raw data, Silver cleaned and historical data, and certified Gold products for projects, labor, finance and operations. Build batch, change-data-capture and streaming pipelines; define common objects, authoritative sources and metrics with business owners.
- Lead governance with data owners and stewards. Align Unity Catalog with existing Microsoft Purview catalogs and glossaries; maintain classifications, source-to-report lineage, access approvals, quality checks, remediation ownership and retention, archiving, backup and secure destruction controls.
Deliver analytics and governed AI
- Migrate SQL warehouse, ETL and Power BI workloads to Databricks through reconciled phases. Enable employee self-service analysis, dashboards and ChatGPT/Claude experiences over certified Gold data and shared semantic models; preserve permissions, traceability and consistent business definitions.
- Build reusable TAIT Intelligence Layer services using retrieval-augmented generation (RAG), governed tools and agentic orchestration for quoting, engineering reuse, project forecasting and operational exceptions. Turn prototypes into supported products with ownership, service levels, release criteria and measurable value.
- Lead enterprise adoption of Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and intelligent automation solutions to improve productivity and decision-making.
- Engineer AI for security, privacy and resilience: least-privilege agent identities, segregation of duties, approved vendor/data-use terms, prompt-injection defenses, human approvals, audit evidence, tested recovery and non-AI fallback. Version prompts/models; evaluate accuracy, latency, cost and drift. Keep authoritative posting in commercial systems.
Lead migration and reliable delivery
- Publish a systems and people transition plan covering dependencies, delivery waves, training, hiring and partners. Plan coexistence, reconciled migrations, cutover rehearsals and rollback; retire temporary bridges, redundant reports and agreed legacy/Autodesk dependencies.
- Support ERP, PLM, MES, rental and HCM/payroll modernization and acquisitions through reusable interfaces. Develop SQL, BI and application specialists for cloud data, integration and AI; enable senior engineers to supervise partner delivery.
- Balance quality and speed through Jira, small releases, acceptance criteria, code review, automated testing and CI/CD. Own monitoring, incidents, runbooks and recovery; manage technical debt and cloud/AI costs. Track lead time, defects, data freshness, adoption and verified benefits.
Management Responsibility
Directly manage Engineering, Data and Analytics employees and specialist partners, with accountability for hiring, performance, development, succession, capacity and delegated budgets.
Position Requirements
- Bachelor’s degree in computer science, engineering, information systems or a related field, or equivalent practical experience;
- 8+ years of progressive experience in software engineering, data engineering, enterprise applications, cloud platforms or systems integration, including 3+ years leading technical teams, managers, or cross-functional engineering organizations.
Hands-on expertise with Python, SQL, Databricks Lakehouse Platform, cloud-native data engineering and enterprise analytics solutions; AWS cloud architecture including IAM, S3, networking, orchestration, observability and performance optimization.- MuleSoft Anypoint or similar, DataWeave, REST/JSON, event-based integration and secure API lifecycle management and enterprise integration patterns; Git, Jira, DevOps, automated testing, infrastructure as code and CI/CD.
- Successful data platform modernization, cloud migration, Power BI modernization, analytics transformation and production AI/Generative AI deployments, including governance, model evaluation and operational support; experience leading workforce development, organizational change, technology transitions and strategic partners.
- Must possess the right to work in the US.
Preferred Experience
- Global project-based or engineer-to-order manufacturing; integrations across ERP, Salesforce, Kantata/PSA, Autodesk Vault/Fusion Manage, MES/EAM, rental, HCM/payroll and collaboration platforms.
- Purview governance, master data, semantic models, full-stack/quoting applications, enterprise ChatGPT/Claude, identity federation, FinOps or M&A integration. Relevant Databricks, AWS or MuleSoft certifications.
TAIT Benefits:
- Competitive medical, dental, and vision insurance plans
- Health Savings Account (HSA) with employer contributions (HDHP plans)
- Flexible Spending Accounts (Medical & Dependent Care)
- Employer-paid life insurance with optional supplemental coverage
- Employer-paid Short-term with optional long-term disability insurance
- 401(k) retirement plan with company match
- Paid parental leave
- Employee Assistance Program (EAP)
- Wellness stipends
- Voluntary benefits (e.g., accident, critical illness
- Paid vacation and 12 holidays
#LI-AB1
Position Purpose
Lead TAIT's Enterprise Data, Integration and AI Engineering organization, responsible for enterprise applications, data platforms, cloud engineering, system integrations, analytics and AI enablement. This hands-on technology leader drives delivery across Databricks, AWS, MuleSoft, data engineering, application development and enterprise architecture while building scalable platforms, modernizing legacy systems and enabling business growth through trusted data and governed AI solutions.
Responsibilities
Lead people and enterprise IT engineering
- Own the roadmap delivery with the VP, Enterprise Applications and Transformation Architect, prioritizing business value, risk, dependencies, cost and capacity. Coach teams and partners; establish standards, accountability, career development and knowledge sharing.
- Contribute directly to architecture, code, reviews, pipelines, integrations and troubleshooting. Partner with business, application, Cybersecurity, Infrastructure and change leaders to deliver maintainable solutions and reduce key-person dependency.
- Lead multidisciplinary teams across software engineering, data engineering, analytics, cloud engineering, enterprise integration and AI solutions.
Build modular platforms and integrations
- Use commercial platforms for transactions and controls, favoring configuration over customization. Build TAIT differentiators through loosely coupled services, common enterprise objects and governed data exchange.
- Lead MuleSoft adapters, custom connectors and orchestration (directors), separating system mappings from business logic. Require authenticated APIs, semantic versioning, events, idempotency, retries, reconciliation, monitoring, mocks and contract tests; expose approved capabilities through Model Context Protocol (MCP).
- Establish enterprise integration architecture standards supporting ERP, CRM, PLM, HCM and operational systems using API-led connectivity and event-driven architecture principles.
Review and modernize legacy custom application
- Assess legacy custom applications, scripts and integrations with business owners to confirm business value, usage, dependencies, security, supportability and cost. Prioritize what to retain, replace with commercial capabilities, modernize or retire; preserve valuable business logic and institutional knowledge
- Modernize and redeploy selected solutions using current platforms, supported frameworks, cloud services and AI-assisted engineering where appropriate. Refactor into maintainable components with governed APIs and data access, automated testing, CI/CD, monitoring and documentation; validate business outcomes and data reconciliation before transition, with clear ownership, training and rollback plans.
- Drive application modernization and digital transformation initiatives that improve scalability, reliability, user experience and operational efficiency.
Curate trusted enterprise data
- Mature Databricks Lakehouse Platform on AWS, leveraging Delta Lake, Unity Catalog, Bronze raw data, Silver cleaned and historical data, and certified Gold products for projects, labor, finance and operations. Build batch, change-data-capture and streaming pipelines; define common objects, authoritative sources and metrics with business owners.
- Lead governance with data owners and stewards. Align Unity Catalog with existing Microsoft Purview catalogs and glossaries; maintain classifications, source-to-report lineage, access approvals, quality checks, remediation ownership and retention, archiving, backup and secure destruction controls.
Deliver analytics and governed AI
- Migrate SQL warehouse, ETL and Power BI workloads to Databricks through reconciled phases. Enable employee self-service analysis, dashboards and ChatGPT/Claude experiences over certified Gold data and shared semantic models; preserve permissions, traceability and consistent business definitions.
- Build reusable TAIT Intelligence Layer services using retrieval-augmented generation (RAG), governed tools and agentic orchestration for quoting, engineering reuse, project forecasting and operational exceptions. Turn prototypes into supported products with ownership, service levels, release criteria and measurable value.
- Lead enterprise adoption of Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and intelligent automation solutions to improve productivity and decision-making.
- Engineer AI for security, privacy and resilience: least-privilege agent identities, segregation of duties, approved vendor/data-use terms, prompt-injection defenses, human approvals, audit evidence, tested recovery and non-AI fallback. Version prompts/models; evaluate accuracy, latency, cost and drift. Keep authoritative posting in commercial systems.
Lead migration and reliable delivery
- Publish a systems and people transition plan covering dependencies, delivery waves, training, hiring and partners. Plan coexistence, reconciled migrations, cutover rehearsals and rollback; retire temporary bridges, redundant reports and agreed legacy/Autodesk dependencies.
- Support ERP, PLM, MES, rental and HCM/payroll modernization and acquisitions through reusable interfaces. Develop SQL, BI and application specialists for cloud data, integration and AI; enable senior engineers to supervise partner delivery.
- Balance quality and speed through Jira, small releases, acceptance criteria, code review, automated testing and CI/CD. Own monitoring, incidents, runbooks and recovery; manage technical debt and cloud/AI costs. Track lead time, defects, data freshness, adoption and verified benefits.
Management Responsibility
Directly manage Engineering, Data and Analytics employees and specialist partners, with accountability for hiring, performance, development, succession, capacity and delegated budgets.
Position Requirements
- Bachelor’s degree in computer science, engineering, information systems or a related field, or equivalent practical experience;
- 8+ years of progressive experience in software engineering, data engineering, enterprise applications, cloud platforms or systems integration, including 3+ years leading technical teams, managers, or cross-functional engineering organizations.
Hands-on expertise with Python, SQL, Databricks Lakehouse Platform, cloud-native data engineering and enterprise analytics solutions; AWS cloud architecture including IAM, S3, networking, orchestration, observability and performance optimization.- MuleSoft Anypoint or similar, DataWeave, REST/JSON, event-based integration and secure API lifecycle management and enterprise integration patterns; Git, Jira, DevOps, automated testing, infrastructure as code and CI/CD.
- Successful data platform modernization, cloud migration, Power BI modernization, analytics transformation and production AI/Generative AI deployments, including governance, model evaluation and operational support; experience leading workforce development, organizational change, technology transitions and strategic partners.
- Must possess the right to work in the US.
Preferred Experience
- Global project-based or engineer-to-order manufacturing; integrations across ERP, Salesforce, Kantata/PSA, Autodesk Vault/Fusion Manage, MES/EAM, rental, HCM/payroll and collaboration platforms.
- Purview governance, master data, semantic models, full-stack/quoting applications, enterprise ChatGPT/Claude, identity federation, FinOps or M&A integration. Relevant Databricks, AWS or MuleSoft certifications.
TAIT Benefits:
- Competitive medical, dental, and vision insurance plans
- Health Savings Account (HSA) with employer contributions (HDHP plans)
- Flexible Spending Accounts (Medical & Dependent Care)
- Employer-paid life insurance with optional supplemental coverage
- Employer-paid Short-term with optional long-term disability insurance
- 401(k) retirement plan with company match
- Paid parental leave
- Employee Assistance Program (EAP)
- Wellness stipends
- Voluntary benefits (e.g., accident, critical illness
- Paid vacation and 12 holidays
#LI-AB1
Enterprise Applications Manager Jobs by Experience Level
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Find JobsEnterprise Applications Manager Job Market
Who's Hiring
Top Industries Hiring
- Manufacturing
- Automotive
- Technology & Software
- Education
- Electronics & Hardware
What Employers Look For
The qualifications that appear most often in enterprise applications manager jobs.
- Five or more years managing enterprise applications such as ERP, CRM, or ITSM platforms
- Hands-on experience with at least one major platform such as SAP, Oracle, Workday, or Microsoft Dynamics
- Proven ability to lead cross-functional system implementations and upgrades
- Bachelor's degree in information systems, computer science, or a related field
- Experience managing vendor relationships, contracts, and service-level agreements
- Familiarity with ITIL frameworks, change management processes, and application lifecycle management
Tips for Your Enterprise Applications Manager Job Search
Align your resume to ERP platforms
Hiring managers scan for the specific platform first, SAP, Oracle, Workday, or Microsoft Dynamics. Name your version experience, upgrade projects, and module ownership explicitly rather than listing enterprise software as a general category.
Quantify your system integration outcomes
Vague claims about 'improving processes' won't stand out. Document the number of integrated systems, reduced manual steps, or deployment timelines you owned so reviewers can gauge scope and complexity before the first call.
Target postings that match your governance experience
Many enterprise applications manager roles split between hands-on configuration and IT governance work. Read each posting carefully to see which side dominates, then mirror that language in your application materials to pass the initial screen.
Apply early to roles that fit
Migrate Mate lists enterprise applications manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a technical panel interview
Expect at least one round with a solutions architect or IT director who will probe your integration methodology, change management approach, and vendor negotiation experience. Prepare concrete examples for each, not general descriptions of your team's work.
Negotiate scope before discussing compensation
In enterprise applications roles, title and compensation often follow the number of systems and direct reports you own. Clarifying portfolio scope early in the offer conversation positions you to make a stronger case for a higher band.
Enterprise Applications Manager Jobs: Frequently Asked Questions
Which companies are hiring the most enterprise applications managers?
The companies hiring the most enterprise applications managers right now include Integrated Project Management Company, Infosys, and Parts Town, with the largest share of openings in California, Texas, and New Jersey, based on current listings on Migrate Mate as of November 2026. Healthcare systems, large manufacturers, and financial institutions consistently drive the highest volume of openings in this role.
How many enterprise applications manager jobs are remote?
About 84% of enterprise applications manager openings are fully remote or hybrid as of November 2026, with remote availability concentrated in roles focused on cloud-based platforms like Workday and Salesforce rather than on-premises ERP environments, which more often require periodic on-site presence for system maintenance and stakeholder meetings.
How do you become an enterprise applications manager?
Start by building hands-on experience with a major enterprise platform as a business analyst, systems administrator, or application specialist. From there, take on project lead responsibilities during upgrades or integrations, pursue a relevant certification such as SAP or Workday credentials, and demonstrate cross-functional stakeholder management. Most hiring managers want to see a clear progression from individual contributor to ownership of a system or portfolio before considering you for the manager level.
Can you get hired as an enterprise applications manager with limited experience?
It's possible to move into this role without a full manager title on your resume if you can show direct ownership of a major platform, project leadership during an implementation or migration, and experience coordinating with business stakeholders. Roles at smaller organizations or those focused on a single platform are the most accessible entry points, since they typically require less multi-system oversight than enterprise-wide positions.
What does the enterprise applications manager interview process look like?
Most processes run three to four rounds. The first is a recruiter screen covering your platform background and team size. The second is usually a hiring manager conversation focused on your implementation approach and how you handle competing business priorities. Later rounds typically include a technical panel with IT leadership and sometimes a business stakeholder interview to assess how well you can translate between technical and operational teams.
Where can I find and apply to enterprise applications manager jobs?
You can find and apply to enterprise applications manager jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your platform experience and seniority level, then apply directly to each listing that fits your background and target industry.
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Find roles that match your experience and apply in just a few clicks.
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