nexus IT group

Role Description - Define and execute the organization's enterprise AI vision, strategy, and operating model. - Develop a multi-year roadmap for AI adoption, platform investments, business enablement, and technology modernization. - Establish governance, funding, prioritization, and success metrics for AI initiatives. - Build and manage a balanced portfolio of AI programs that drive business value while maintaining appropriate operational, security, and risk controls. - Evaluate emerging technologies and identify opportunities to improve business performance, customer experiences, operational efficiency, and employee productivity. - Serve as a trusted advisor to executive leadership on AI strategy, opportunities, risks, and industry trends. - Lead the development of enterprise AI platform capabilities that support scalable, secure, and reusable AI solutions. - Define architectural standards for intelligent applications, automation platforms, digital assistants, enterprise knowledge solutions, and AI-enabled workflows. - Establish foundational capabilities supporting: - Model access and orchestration - Knowledge retrieval and search - Enterprise data integration - Monitoring and observability - Security and governance controls - Drive adoption of AI-assisted software development practices across the software delivery lifecycle. - Partner with architecture, engineering, infrastructure, operations, security, and data teams to modernize technology delivery through AI-enabled capabilities. - Collaborate with business leaders to identify and prioritize high-value AI use cases. - Lead initiatives focused on: - Intelligent automation - Decision support systems - Document and knowledge management - Workflow optimization - Productivity enhancement - Customer and employee experience improvements - Develop frameworks for evaluating, prioritizing, and scaling AI opportunities across the organization. - Establish adoption strategies, change management programs, and success measurements for enterprise AI initiatives. - Build organizational AI literacy through education, enablement programs, and communities of practice. - Partner with risk, security, legal, compliance, and data governance stakeholders to ensure responsible AI adoption. - Embed security, privacy, transparency, human oversight, and operational controls into AI platforms and business solutions. - Support the development and operationalization of enterprise AI governance frameworks. - Balance innovation and experimentation with appropriate governance and risk management practices. - Promote ethical and responsible use of AI technologies across the organization. - Lead delivery of enterprise AI initiatives from strategy through implementation and adoption. - Establish delivery frameworks, operating models, and performance measures that ensure successful execution. - Manage technology investments, budgets, vendor relationships, and strategic partnerships. - Drive accountability for scope, timelines, quality, adoption, and business outcomes. - Ensure AI initiatives are scalable, supportable, and aligned with enterprise architecture and operational standards. - Build and lead a high-performing team of AI, engineering, architecture, automation, and technology professionals. - Foster a culture of innovation, experimentation, accountability, and continuous learning. - Mentor leaders and technical teams while establishing clear goals, priorities, and performance expectations. - Serve as a catalyst for organizational change and technology transformation. - Promote collaboration across business and technology functions to accelerate enterprise adoption. Qualifications - 15+ years of progressive leadership experience in technology, digital transformation, software engineering, architecture, data, automation, or emerging technologies. - Significant experience leading enterprise-scale AI, automation, analytics, or digital transformation initiatives. - Demonstrated success building and executing technology strategies that deliver measurable business outcomes. - Experience operating within highly regulated or complex enterprise environments preferred. - Strong understanding of modern AI and Generative AI technologies, including: - Large language models and foundation models - AI orchestration and workflow automation - Retrieval and knowledge-based architectures - Prompt engineering and evaluation methodologies - AI application development patterns - Experience with intelligent automation, AI-enabled software development, and enterprise AI platforms. - Familiarity with responsible AI principles, governance frameworks, model lifecycle management, and operational monitoring. - Strong technical foundation across cloud platforms, APIs, distributed systems, data architecture, cybersecurity, identity, and modern engineering practices. - Proven ability to align technology investments with strategic business objectives. - Strong executive communication and stakeholder management skills. - Experience influencing senior leadership and driving enterprise-wide change initiatives. - Demonstrated success managing teams, vendors, consulting partners, and complex delivery portfolios. - Strong financial acumen, including budgeting, investment planning, vendor management, and value realization. Education - Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline required. - Advanced degree preferred. Leadership Characteristics - Strategic thinker with a passion for innovation and emerging technologies. - Hands-on leader who balances vision with execution. - Strong business acumen combined with deep technical credibility. - Collaborative influencer who builds alignment across diverse stakeholder groups. - Results-oriented operator focused on measurable outcomes and sustainable transformation. - Coach and mentor committed to developing talent and building high-performing teams.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Act as the senior technical expert for the organization’s Workday Financial platform, providing direction and hands-on configuration leadership (no direct reports). - Maintain and enhance system configuration across Financial Management and related modules, ensuring accuracy, stability, and alignment with business needs. - Plan and execute system releases and updates, including regression testing, validation of integrations, impact analysis, and early adoption of new features. - Translate business requirements into scalable system solutions that improve process efficiency and data integrity. - Partner closely with Finance, Accounting, Procurement, Payroll, and operational teams to evaluate current workflows and recommend optimized system designs. - Drive enhancements from concept through deployment, including documentation, security review, QA validation, and post-release support. - Develop and maintain detailed configuration documentation, functional specifications, and process maps. - Monitor system health, proactively assess downstream impacts of configuration changes, and maintain strong internal controls. - Support organizational change efforts by developing user guides, configuration notes, and facilitating small-group knowledge sessions. - Troubleshoot complex system issues, identify root causes, and implement sustainable fixes. - Contribute to platform roadmap planning, helping the organization leverage new capabilities strategically. Qualifications - Deep functional knowledge of Workday Financial Management and associated business areas (such as procure-to-pay, general accounting, projects, and expense management). - Strong hands-on experience configuring enterprise SaaS platforms, including business process frameworks, security models, reporting, integrations, and calculated logic. - Background in system ownership, platform administration, or post-implementation application management. - Solid understanding of accounting and financial operations; experience supporting system integrations is highly valued. - Familiarity with structured service delivery environments, including SLAs, ticket management, and continuous improvement practices. - Experience working in iterative or agile delivery models preferred. - 5+ years supporting or configuring enterprise business systems (Finance, ERP, or HR platforms). - Ability to explain technical system design concepts to both business and technical audiences. - Independent problem-solver who can diagnose issues, assess impact, and implement effective solutions with minimal oversight.