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Business Excellence Systems Manager

LBJ TEXpress Lanes

Benefits Competitive insurance benefits, paid time off, and a matching 401(k) program. Job Description The Business Excellence Systems Manager is a cross‑functional leadership role responsible for overseeing the utilization of the organization’s information technology infrastructure, data governance, artificial intelligence (AI) governance, Quality Management System (QMS) platform, and enterprise‑wide process improvement initiatives. This position serves as the primary driver for leveraging technology — including Microsoft Power Platform, AI agents, and legacy systems — to enhance operational efficiency, ensure regulatory compliance, and centralize critical data, quality documentation, procedures, and continuous improvement projects. The ideal candidate combines strong technical fluency with a deep understanding of business operations and quality frameworks to bridge the gap between technology capabilities and organizational objectives. Key Responsibilities Establish and maintain an organizational data governance framework, including data repositories, integration, and standards, and utilize AI agents/tools. Implement master data management practices to eliminate data silos and provide a single source of truth for key business metrics. Lead and maintain the centralization of critical organizational data, quality documents, SOPs, KPIs, and improvement projects into a unified QMS platform. Collaborate with departments to automate and track KPIs and support efficient reporting within the QMS. Develop, implement, and maintain the AI governance framework, including policies for responsible AI use, risk management, and ethical guidelines. Guide evaluation, deployment, and monitoring of AI agents and automated tools across the organization. Partner with functional leaders to identify high‑value AI use cases, build internal capability, and define adoption roadmaps. Establish approval workflows and oversight mechanisms to ensure AI tools align with regulatory requirements and organizational values. Monitor emerging AI regulations and industry standards and update governance practices proactively. Serve as the internal subject‑matter expert and change champion for AI literacy and responsible utilization. Own and administer the QMS platform, ensuring support for the full lifecycle of quality documentation, audit trails, corrective actions, compliance tracking, and process improvement efforts. Manage a portfolio of improvement projects from identification through implementation, ensuring timelines, budgets, and measurable outcomes. Partner with process owners to map current‑state workflows (AS‑IS) and design future‑state solutions (TO‑BE) aligned with strategic objectives. Facilitate organization‑wide process improvement initiatives using structured methodologies such as Lean, Six Sigma, Kaizen, and PDCA. Guide the utilization of Microsoft Power Platform to digitize manual workflows, automate routine tasks, and surface actionable insights. Identify opportunities to rationalize, modernize, or integrate legacy systems to reduce technical debt and improve end‑user productivity. Develop and track metrics to quantify the impact of improvement efforts on cost, quality, cycle time, and compliance performance. Build and mentor a high‑performing team, fostering continuous improvement, accountability, and innovation. Collaborate with department heads, process owners, and end‑users to gather requirements, communicate project status, and drive change adoption. Serve as a strategic partner to organizational leadership, translating business goals into technology and systems roadmaps with clear milestones and ROI. Collaborate with IT teams to ensure data integration aligns with corporate goals, ensuring scalability, security, and operational continuity. Present project updates, risk assessments, and performance dashboards to leadership and governance committees. Champion data‑driven decision‑making culture by promoting access to reliable information and building organizational analytical capability. Qualifications Bachelor’s degree in Information Technology, Computer Science, Engineering, Operations Management, or a related field; Master’s degree preferred. 5+ years’ experience in business systems, quality management, or data management. Demonstrated experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI) and the Microsoft 365 ecosystem. Working knowledge of AI technologies, automation tools, and AI governance frameworks. Familiarity with quality standards such as ISO 9001:2015 or equivalent regulatory frameworks and process improvement frameworks. Proven track record of leading cross‑functional process improvement initiatives from concept to measurable results. Strong analytical skills with experience in data governance, reporting, and business intelligence tools. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Professional Qualities & Competencies Strong initiative, judgment, and problem‑solving skills. Strategic thinking and systems mindset. Technology leadership and digital transformation. Data governance and analytical rigor. Change management and stakeholder communication. Process optimization and continuous improvement. Project and portfolio management. Cross‑functional collaboration and team development. Risk management and regulatory compliance. Computer Skills Advanced knowledge of complex networking, computer systems, and technological business solutions. Proficient with Microsoft Suite products. SQL, Python, JSON, HTML, or equivalent coding skills preferred. Work Environment & Physical Demands Noise level is usually quiet. Local travel between Dallas‑Fort Worth offices is required, with occasional travel to Austin. Employee may occasionally lift or move up to 10 pounds. Specific vision abilities required: ability to adjust focus as necessary to use a computer. Regularly required to talk or hear. Frequently required to stand, walk, and sit. #J-18808-Ljbffr LBJ TEXpress Lanes

Vacancy posted 3 days ago
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