Description

Key Responsibilities

Enterprise Application Support

• Provide day-to-day operational support and administration for enterprise line-of-business applications.
• Troubleshot application, integration, data, and user access issues across multiple business units.
• Coordinate with software vendors, infrastructure teams, cybersecurity teams, and external partners to resolve complex production issues.
• Support SaaS, cloud-hosted, on-premises, internally developed, and hybrid application environments.
• Lead application upgrades, migrations, patching initiatives, and enhancement projects.

Business Analysis & Solution Delivery

• Serve as both a Functional Business Analyst and Technical Business Analyst.
• Conduct stakeholder interviews, requirements gathering sessions, process discovery workshops, and solution design reviews.
• Develop Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user stories, process maps, use cases, workflows, and technical specifications.
• Analyze existing business processes and identify opportunities for automation, optimization, and modernization.
• Facilitate User Acceptance Testing (UAT), defect resolution, training, and change management activities.

Project & Portfolio Support

• Manage multiple concurrent projects, initiatives, and support activities.
• Coordinate project activities across multiple business units and technical teams.
• Provide project status reporting, risk management, issue tracking, and executive communications.
• Support Agile, Waterfall, and Hybrid project delivery methodologies.

AI & Digital Transformation

• Identify opportunities to leverage Artificial Intelligence (AI), Generative AI, Machine Learning, and Microsoft Copilot technologies to improve business operations.
• Support AI solution integration using APIs, connectors, and modern integration frameworks.
• Understand Model Context Protocol (MCP) concepts, AI orchestration platforms, and emerging AI-enabled enterprise application technologies.
• Collaborate with development and architecture teams to enable AI-driven business capabilities.

Required Qualifications

• Bachelor’s degree in information technology, Computer Science, Business Information Systems, Engineering, or a related field.
• Minimum of 6 to 10 years of experience in IT operations, enterprise application support, business analysis, or related technology roles.
• Proven experience supporting enterprise applications across multiple business units.
• Strong interpersonal, communication, facilitation, and stakeholder management skills.
• Demonstrated ability to manage multiple simultaneous projects and competing priorities.
• Experience supporting executive-level stakeholders and business leadership teams.

Technical Requirements

Enterprise Application Platforms

• Enterprise Application Support
• SaaS Applications
• Cloud-Based Platforms
• Hybrid Application Architectures
• Custom/In-House Developed Applications
• Vendor Management and Application Lifecycle Support

Atlassian Tool Suite

• Jira Administration and Usage
• Confluence Documentation and Knowledge Management
• Jira Service Management (JSM)
• Workflow Configuration and Process Automation
• Agile Project and Backlog Management

Identity & Access Management

• Microsoft Entra ID (Azure Active Directory)
• Active Directory Domain Services
• Azure Federated Services
• Single Sign-On (SSO)
• Identity Governance and Access Management Concepts

Infrastructure & Networking Knowledge

• Network Infrastructure Fundamentals
• TCP/IP Networking
• DNS
• DHCP
• Proxy Technologies
• Firewall Concepts
• Cybersecurity Systems
• Microsoft Windows Operating Systems
• Linux Operating Systems
• F5 Big-IP Load Balancers
• Virtual IP (VIP) Concepts
• Secure Network Architecture Fundamentals

Integration Technologies

• REST APIs
• SOAP Web Services
• Application Integration Design
• API Authentication Methods
• Middleware Platforms
• Data Exchange Technologies
• Enterprise Integration Patterns

AI & Emerging Technologies

• Generative AI Concepts
• Large Language Models (LLMs)
• AI Application Integration
• MCP (Model Context Protocol) Concepts
• Microsoft Copilot Ecosystem
• AI-Powered Automation Solutions

Data & Reporting

• SAP Business Intelligence (SAP BI)
• Sisense
• Microsoft Power BI
• SQL Query Development
• Data Analysis and Reporting
• Dashboard Creation and Visualization

Database Technologies

• Oracle Database
• Microsoft SQL Server
• Progress Database
• Data Modeling Concepts
• Data Extraction and Analysis

Automation Technologies

• Microsoft Power Platform
• Power Automate
• Workflow Automation
• Business Process Automation
• SharePoint Online Integration
• Multi-System Data Synchronization

Preferred Qualifications

• Experience supporting Legal, Claims, Finance, Corporate Real Estate, Compliance, Asset Management, Land Management, or Risk Management applications.
• Experience with cloud modernization and digital transformation initiatives.
• Experience with Azure cloud services and Microsoft 365 ecosystem technologies.
• Knowledge of enterprise architecture principles and application integration strategies.
• Experience supporting AI-enabled business solutions and automation platforms.
• Professional certifications such as Azure Fundamentals, Power Platform, or related certifications

Key Skills

Education

Bachelor's degree