Job Details: Job Location: TX North Richland Hills - North Richland Hills, TX, Position Type: Full Time, Education Level: 4 Year Degree, Salary Range: Undisclosed, Travel Percentage: Up to 25%, Job Category: Information Technology, Position Summary The Director of AI and Advanced Analytics is responsible for driving enterprise-wide analytics and AI-powered insights strategy. This individual will lead a multidisciplinary team spanning commercial insights, operations insights, and applied AI — transforming data into a strategic asset that fuels proactive decision-making across a global organization.  Reporting to the Senior Director of AI and Data Strategy, this role combines hands-on technical expertise with strategic vision, leveraging Power BI, Microsoft Fabric, AI, and automation to deliver high-impact analysis and scalable, AI-enhanced data solutions.    Essential Duties & Responsibilities Strategic Leadership & Team Management  Lead and develop a cross-functional team encompassing commercial insights, operations insights, and applied AI and analytics professionals  Define and execute the BI and data strategy roadmap aligned with enterprise business objectives  Foster a culture of data-driven decision-making, analytical rigor, and continuous improvement across the organization  Serve as a trusted advisor to executive leadership and business stakeholders on data strategy, analytics capabilities, and emerging opportunities  Be responsive and manage stakeholder expectations with clear timelines, levels of effort and prioritization  Analytics & Reporting  Build and sustain model performance reporting frameworks to measure business impact, track KPIs, and surface actionable insights  Determine the optimal analytic approach and data architecture to deliver high-impact analysis to business stakeholders across a global enterprise  Design and oversee the development of interactive dashboards, self-service reporting, forecasting, and advanced analytics solutions in Power BI  Integrate AI and automation capabilities into reporting workflows to increase speed, accuracy, and scalability of insights delivery  AI-Driven Business Insights  Lead the integration of AI and machine learning capabilities into the BI ecosystem to enhance forecasting, anomaly detection, and predictive analytics  Identify and prioritize high-impact AI use cases across commercial, operations, and financial analytics to accelerate business outcomes  Partner with business stakeholders to translate complex AI/ML outputs into clear, actionable insights that drive strategic decision-making  Evaluate and implement emerging AI technologies (e.g., generative AI, NLP, intelligent automation) to continuously evolve the organization’s analytics capabilities  Establish model performance monitoring, validation frameworks, and feedback loops to ensure AI outputs remain accurate, reliable, and aligned with business objectives  Project & Agile Management  Leverage Jira to prioritize, plan, and track the team’s work using Agile methodologies when required  Manage the team’s backlog, sprint planning, and capacity allocation to ensure timely delivery of high-priority initiatives  Collaborate cross-functionally with IT, sales, digital, operations, and finance teams to scope, prioritize, and deliver analytics projects  Communicate project status, risks, and outcomes to senior leadership with clarity and precision  Qualifications: Education & Experience Requirements 8+ years of progressive experience in business intelligence, data analytics, or data engineering, with at least 5 years in a leadership role  Demonstrated expertise in Power BI development, including DAX, Power Query, and enterprise-scale report/dashboard design  Hands-on experience with Microsoft Fabric (or equivalent modern data platform) for lakehouse architecture, data pipelines, and unified analytics  Advanced proficiency in SQL for complex querying, performance tuning, and data transformation  Proven experience building and managing ETL pipelines and PowerBI Semantic Models  Proven experience identifying, developing, and deploying AI/ML use cases within a business intelligence or analytics function  Experience managing teams and projects using Jira and Agile methodologies  Track record of delivering analytics solutions across a global, multi-business-unit enterprise  Required Skills & Competencies  Category  Details  Data & Analytics  SQL (Advanced) · Power BI · Power Query · Data Modeling · Google Analytics  Architecture & Engineering  Microsoft Fabric · ETL Pipeline Development · PowerBI Semantic Models  AI & Automation  Applied AI/ML for business analytics · Predictive modeling · NLP · Generative AI integration · Automation of reporting and data workflows  Project Management  Jira · Agile/Scrum methodology · Backlog management · Sprint planning  Leadership  Team development · Stakeholder management · Strategic planning · Executive communication  Preferred Qualifications  Experience with Google Analytics for digital/eCommerce performance analysis  Hands-on experience with AI/ML model development, deployment, and integration into BI workflows, including generative AI and NLP applications  Experience with ERP and CRM data ecosystems (e.g., Infor CSD, Infor WebUI, Dynamics 365)  Bachelor’s degree in Computer Science, Data Science, Information Systems, Business Analytics, or relevant experience  Relevant certifications (e.g., Microsoft Certified: Fabric Analytics Engineer, Power BI Data Analyst, SQL, Power Query) are a plus  What Success Looks Like  AI and advanced analytics capabilities embedded across the BI function, delivering measurable business value through predictive insights and intelligent automation  Performance reporting that directly measures and communicates business impact to leadership  A high-performing, engaged team operating with Agile discipline and clear priorities  Scalable analytics architecture that grows with the enterprise and adapts to evolving business needs  AI and automation embedded into workflows, reducing manual effort and accelerating time-to-insight  Physical Requirements: Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards This position requires applicants to be authorized to work in the US without sponsorship; TestEquity does not sponsor applicants for work visas.  TestEquity provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.