Business Excellence Systems Manager

Ferrovial•Dallas, TX

11h•Hybrid

About The Position

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.

Requirements

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 successfully leading cross-functional process improvement initiatives from concept to measurable results.
Strong analytical skills with experience in data governance, reporting, and business intelligence tools.
Strong initiative, judgment and problem-solving skills
Strategic Thinking & Systems Mindset
Technology Leadership & Digital Transformation
Data Governance & Analytical Rigor
Change Management & Stakeholder Communication
Process Optimization & Continuous Improvement
Project & Portfolio Management
Cross-Functional Collaboration & Team Development
Risk Management & Regulatory Compliance
Advanced knowledge of complex networking, computer systems and technological business solutions
Must be able to demonstrate computer proficiency, especially within Microsoft Suite of products
SQL / Python / JSON / HTML or equivalent coding acumen preferred.

Responsibilities

Establish and maintain an organizational data governance framework, including data repositories, integration, and standards including the utilization of AI Agents / Tools.
Implement master data management (MDM) 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, standard operating procedures (SOPs), KPIs, and improvement projects into a unified accessible platform (QMS Platform).
Collaborate with organizational departments / teams to automate and track KPIs and support efficient reporting requirements within the QMS.
Develop, implement, and maintain the organization's AI governance framework, including policies for responsible AI use, risk management, and ethical guidelines.
Guide the evaluation, deployment, and monitoring of AI agents and automated tools across the organization to drive efficiency while managing risk.
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 are used in alignment with regulatory requirements and organizational values.
Monitor emerging AI regulations and industry standards in alignment with enterprise guidance, updating leadership and governance practices proactively to maintain compliance.
Serve as the internal subject matter expert and change champion for AI literacy and responsible utilization across the organization.
Own and administer the organization's QMS platform, ensuring it supports the full lifecycle of quality documentation, audit trails, corrective actions, and compliance tracking, and process improvement efforts.
Manage a portfolio of improvement projects from identification through implementation, ensuring timelines, budgets, and measurable outcomes are achieved.
Partner with process owners to map current-state workflows (AS-IS) and design future-state solutions (TO-BE) that align with strategic objectives.
Facilitate Teams through organization-wide process improvement initiatives in using structured methodologies (e.g., Lean, Six Sigma, Kaizen, PDCA).
Guide the utilization of Microsoft Power Platform — including Power Apps, Power Automate, Power BI, and AI Agents — 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 a culture of 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 and support Information Technology teams as new technologies are introduced to the organization to ensure the data integration is aligned with corporate goals, ensuring scalability, security, and operational continuity.
Present project updates, risk assessments, and performance dashboards to organizational leadership and relevant governance committees.
Champion data-driven decision-making culture by promoting access to reliable information and building organizational analytical capability.