About this role
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 organizations 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 teams work using Agile methodologies when required
- Manage the teams 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)
- Bachelors 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.