Director - AI & Advanced Analytics

TESTEQUITY HISCO GROUP•North Richland Hills, TX

About The Position

The Director of AI and Advanced Analytics drives enterprise-wide analytics and AI-powered insights strategy, leading a multidisciplinary team spanning commercial insights, operations insights, and applied AI. The role transforms data into a strategic asset that supports proactive decision-making across a global organization. Reporting to the Senior Director of AI and Data Strategy, the Director combines technical expertise with strategic leadership, using Power BI, Microsoft Fabric, AI, and automation to deliver high-impact analysis and scalable, AI-enhanced data solutions. The Director defines and executes the BI and data strategy roadmap, advises executive leaders and business stakeholders, and fosters data-driven decision-making and continuous improvement. The role oversees analytics architecture, dashboards, self-service reporting, forecasting, model performance reporting, and AI/ML integration into the BI ecosystem. It also identifies business use cases for AI, ensures model outputs are monitored and validated, and translates complex AI/ML results into actionable insights. The position manages work using Jira and Agile methodologies when required, including backlog prioritization, sprint planning, and capacity allocation. It collaborates with IT, sales, digital, operations, and finance teams to deliver analytics initiatives, and communicates project progress, risks, and outcomes to senior leadership. The position is located in North Richland Hills, Texas, is full-time, and includes travel of up to 25%.

Requirements

At least 8 years of progressive experience in business intelligence, data analytics, or data engineering.
At least 5 years of experience in a leadership role.
Demonstrated expertise in Power BI development, including DAX, Power Query, and enterprise-scale report and dashboard design.
Hands-on experience with Microsoft Fabric or an equivalent modern data platform for lakehouse architecture, data pipelines, and unified analytics.
Advanced SQL proficiency, including complex querying, performance tuning, and data transformation.
Proven experience building and managing ETL pipelines and Power BI Semantic Models.
Proven experience identifying, developing, and deploying AI/ML use cases within a BI or analytics function.
Experience managing teams and projects using Jira and Agile methodologies.
A track record of delivering analytics solutions across a global, multi-business-unit enterprise.
Skills in data modeling, Google Analytics, applied AI/ML for business analytics, predictive modeling, NLP, generative AI integration, reporting and data workflow automation, Agile/Scrum, backlog management, sprint planning, team development, stakeholder management, strategic planning, and executive communication.
Ability to safely and successfully perform the essential job functions and meet qualitative and/or quantitative productivity standards.
Ability to maintain regular, punctual attendance.
Must be authorized to work in the United States without sponsorship; the employer does not sponsor work visas.

Nice To Haves

Experience with Google Analytics for digital/eCommerce performance analysis.
Hands-on experience developing, deploying, and integrating AI/ML models into BI workflows, including generative AI and NLP applications.
Experience with ERP and CRM data ecosystems, such as Infor CSD, Infor WebUI, or Dynamics 365.
Bachelor’s degree in Computer Science, Data Science, Information Systems, Business Analytics, or relevant experience.
Relevant certifications, such as Microsoft Certified: Fabric Analytics Engineer, Power BI Data Analyst, SQL, or Power Query.

Responsibilities

Lead and develop a cross-functional team of commercial insights, operations insights, applied AI, and analytics professionals.
Define and execute a BI and data strategy roadmap aligned with enterprise business objectives.
Promote data-driven decision-making, analytical rigor, and continuous improvement across the organization.
Advise executive leadership and business stakeholders on data strategy, analytics capabilities, and emerging opportunities.
Manage stakeholder expectations by communicating timelines, levels of effort, and priorities.
Build and sustain model performance reporting frameworks to measure business impact, track KPIs, and surface actionable insights.
Determine appropriate analytic approaches and data architectures for high-impact analysis across the global enterprise.
Design and oversee interactive dashboards, self-service reporting, forecasting, and advanced analytics solutions in Power BI.
Integrate AI and automation into reporting workflows to improve the speed, accuracy, and scalability of insight delivery.
Lead the integration of AI and machine learning into the BI ecosystem for forecasting, anomaly detection, and predictive analytics.
Identify and prioritize AI use cases across commercial, operations, and financial analytics.
Work with business stakeholders to translate AI/ML outputs into clear, actionable insights.
Evaluate and implement emerging AI technologies, including generative AI, NLP, and intelligent automation.
Establish model performance monitoring, validation frameworks, and feedback loops to maintain accurate and reliable AI outputs aligned with business objectives.
Use Jira and Agile methodologies when required to prioritize, plan, and track team work.
Manage the team backlog, sprint planning, and capacity allocation to deliver high-priority initiatives on time.
Collaborate with IT, sales, digital, operations, and finance teams to scope, prioritize, and deliver analytics projects.
Communicate project status, risks, and outcomes to senior leadership.