Director - AI & Advanced Analytics

Testequity Hisco Group•North Richland Hills, TX

15h

About The Position

The Director of AI and Advanced Analytics drives enterprise-wide analytics and AI-powered insights strategy. The role leads a multidisciplinary team across commercial insights, operations insights, and applied AI, transforming 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 leadership and business stakeholders, and fosters data-driven decision-making and continuous improvement. The position oversees analytics and reporting, including performance frameworks, KPI reporting, dashboards, self-service reporting, forecasting, and advanced analytics. It also leads the integration and monitoring of AI and machine learning capabilities, prioritizes impactful use cases, and ensures model outputs remain accurate and useful. The role manages team priorities and delivery using Jira and Agile methodologies when required, coordinating with IT, sales, digital, operations, and finance. Success includes embedding AI and advanced analytics across the BI function, communicating measurable business impact, developing an engaged team, and establishing scalable analytics architecture. Applicants must be authorized to work in the United States without sponsorship.

Requirements

8 or more 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 proficiency in SQL for complex querying, performance tuning, and data transformation.
Experience building and managing ETL pipelines and Power BI Semantic Models.
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.
Ability to perform essential job functions safely and successfully, consistent with applicable ADA, FMLA, and other federal, state, and local standards, including meeting productivity standards.
Ability to maintain regular, punctual attendance consistent with applicable ADA, FMLA, and other federal, state, and local standards.
Authorization to work in the United States without sponsorship; the employer does not sponsor work visas.

Nice To Haves

Experience with Google Analytics for digital and 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 spanning commercial insights, operations insights, applied AI, and analytics.
Define and execute the BI and data strategy roadmap in alignment with enterprise business objectives.
Foster 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 prioritization.
Build and sustain model performance reporting frameworks to measure business impact, track KPIs, and surface actionable insights.
Determine analytic approaches and data architecture for high-impact analysis across a global enterprise.
Design and oversee interactive Power BI dashboards, self-service reporting, forecasting, and advanced analytics solutions.
Integrate AI and automation into reporting workflows to improve the speed, accuracy, and scalability of insights delivery.
Lead 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.
Translate complex AI/ML outputs into clear, actionable insights with business stakeholders.
Evaluate and implement emerging AI technologies, including generative AI, NLP, and intelligent automation.
Establish model performance monitoring, validation frameworks, and feedback loops.
Use Jira and Agile methodologies when required to prioritize, plan, and track the team's work.
Manage the team backlog, sprint planning, and capacity allocation to support timely delivery of high-priority initiatives.
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.