Enterprise Applications & Technology Strategy
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Own the roadmap for the organization's Enterprise Application ecosystem, including SaaS, on-premise, cloud, legacy, and internally developed applications.
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Oversee business-critical platforms including Project Management, Collaboration, HRMS, Payroll, ATS, LMS, Telephony, and internally developed applications.
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Evaluate existing technology capabilities and determine whether requirements should be addressed through configuration, integration, automation, AI, or custom software development.
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Drive application lifecycle management, modernization, consolidation, and optimization.
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Lead technology evaluations, vendor selection, RFI/RFP processes, POCs, negotiations, renewals, and vendor performance management.
Software Development, Integration & Bridge Systems
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Lead and mentor application and software engineering teams responsible for developing, integrating, and supporting business-critical solutions.
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Oversee the complete software lifecycle from requirements and architecture through development, integration, testing, deployment, and operations.
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Define and oversee enterprise integration architecture across applications, including APIs, middleware, data pipelines, SSO, event-driven integrations, and workflow orchestration.
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Identify gaps between existing platforms and oversee the development of bridge applications, middleware, APIs, and integration services to connect disparate systems.
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Ensure new applications and solutions integrate into the broader enterprise ecosystem rather than creating additional technology silos.
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Establish standards for software architecture, development, testing, security, deployment, observability, and maintainability.
AI & Intelligent Automation
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Identify practical opportunities to apply AI, AI agents, LLMs, intelligent automation, and workflow orchestration across the existing application ecosystem.
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Use AI to enhance application integration, automate data movement and business processes, and create intelligent interfaces between systems.
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Oversee the development of AI-enabled bridge solutions that can interpret, transform, route, and orchestrate information across multiple applications.
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Evaluate AI solutions alongside conventional integration and automation approaches, selecting the appropriate technology for each business problem.
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Establish appropriate governance around AI, data access, security, privacy, and operational reliability.
IT Infrastructure Strategy & Operations
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Provide strategic and operational oversight of the organization's IT infrastructure, including networks, endpoints, cloud services, collaboration platforms, Microsoft 365, identity, and core technology platforms.
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Ensure infrastructure is scalable, resilient, secure, and capable of supporting the organization's application and digital transformation roadmap.
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Partner with infrastructure and engineering teams to design and maintain reliable application and infrastructure environments.
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Oversee infrastructure modernization, cloud adoption, capacity planning, lifecycle management, and technology resilience.
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Ensure infrastructure architecture supports the organization's integration, software, data, and AI initiatives.
IT Operations, Service Management & Reliability
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Provide leadership across IT Operations, Service Desk, Application Support, Infrastructure Operations, and technology service management.
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Ensure high availability, reliability, performance, and supportability across applications, infrastructure, integrations, and critical technology services.
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Establish and monitor SLAs, operational KPIs, incident management, problem management, change management, release management, and service improvement processes.
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Establish appropriate monitoring and observability across applications, APIs, integrations, infrastructure, and AI-enabled workflows.
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Drive automation and data-driven operational practices to improve service quality and reduce manual intervention.
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Ensure a strong employee technology experience across the organization.
Security, Compliance & Technology Governance
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Ensure application, infrastructure, integration, data, and AI environments adhere to applicable security, privacy, and regulatory requirements.
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Partner with cybersecurity teams to maintain appropriate controls across applications, infrastructure, integrations, cloud environments, and endpoints.
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Ensure compliance with frameworks including ISO 27001, SOC 2, and applicable data protection regulations.
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Establish technology governance covering architecture, applications, integrations, AI, infrastructure, vendors, and operational risk.
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Own and optimize the technology budget across applications, software development, infrastructure, and operations.
Data, Analytics & Automation
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Define and oversee enterprise data architecture and data engineering pipelines across business systems.
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Build analytics and dashboards providing visibility into application usage, operational performance, adoption, service levels, integration health, and technology costs.
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Drive automation across application, infrastructure, and service management functions.
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Leverage data and AI to identify operational inefficiencies and continuously improve technology services.
Leadership & Cross-functional Collaboration
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Build, lead, mentor, and scale high-performing teams across Enterprise Applications, Software Engineering, Integration, Infrastructure, IT Operations, and Service Management.
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Establish clear ownership, accountability, delivery standards, and performance metrics across technology teams.
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Partner closely with business, security, finance, HR, and other stakeholders to translate business requirements into integrated technology solutions.
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Lead cross-functional transformation programs from strategy through execution, ensuring delivery within scope, timeline, and budget.