Director, Business Intelligence & AI Enablement

Weisiger Group•Charlotte, NC
•Onsite

About The Position

The Director of Business Intelligence (BI) and Artificial Intelligence (AI) Enablement leads the Business Intelligence Team within Weisiger Group’s Business Technology department and drives enterprise-wide AI enablement and adoption. The position is responsible for improving BI staff, processes, and technology while establishing a roadmap for evolving from traditional reporting and dashboards to AI-enabled insights, automation, and decision support. The role balances support for existing reporting technologies with the development of AI business solutions and the addition of strategic AI talent. The Director partners with senior business and IT leaders, team members, vendors, and external consultants to deliver measurable value through data, analytics, and AI while maintaining governance, security, and compliance. The role reports to the SVP, Chief Technology Officer, and supervises the Business Technology BI team and future AI staff. As a Shared Services employee, the Director supports two divisions headquartered in different areas of Charlotte, North Carolina, with branches across the Southeast. Occasional project-related travel is required. This is an onsite-dependent role in Charlotte, NC.

Requirements

  • Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Engineering, Business, or a related field.
  • 10 or more years of experience in data, analytics, business intelligence, or related technology functions.
  • 5 or more years of leadership experience managing technical teams and delivering enterprise-scale analytics solutions.
  • Experience leading data engineering, business intelligence, or analytics organizations.
  • Experience developing technology roadmaps and leading organizational transformation initiatives.
  • Strong understanding of data architecture, data warehousing, data integration, reporting platforms, and analytics technologies.
  • Experience partnering with business leaders to identify and deliver data-driven business solutions.
  • Experience implementing enterprise AI, machine learning, generative AI, or intelligent automation solutions.
  • Excellent communication, stakeholder management, and leadership skills.
  • Experience with Microsoft Power BI, Azure Data Platform, Microsoft Copilot, Azure AI Services, Anthropic technologies, Snowflake Platform, Talend Integration Services, and related technologies.
  • Familiarity with AI governance, responsible AI practices, and enterprise AI risk management.
  • Working knowledge of industry-standard AI methodologies and best practices.
  • Ability to solve practical problems and work with concrete variables in situations with limited standardization.
  • Ability to interpret written, oral, diagram, or schedule instructions.
  • Ability to meet the physical demands described, including frequently moving up to 25 pounds, with reasonable accommodations as applicable.

Responsibilities

  • Manage the Business Intelligence Team and mature its staff, processes, and technology.
  • Oversee the design, development, and support of enterprise reporting, dashboards, data pipelines, and analytical solutions.
  • Maintain data quality, governance, security, and compliance standards across analytics platforms.
  • Partner with business leaders to identify opportunities to improve decision-making through data and analytics.
  • Manage data analytics and AI vendor relationships, contracts, and platforms.
  • Establish and execute the enterprise AI enablement vision, strategy, and roadmap in alignment with business priorities and technology objectives.
  • Lead the transition from traditional BI reporting toward AI-driven insights, automation, and decision support.
  • Evaluate, recommend, and govern enterprise AI platforms, tools, and services.
  • Partner with cybersecurity, legal, and risk management teams to establish safe and compliant AI practices, governance frameworks, usage policies, and operational standards.
  • Work with infrastructure teams to implement scalable, resilient, and sustainable solutions.
  • Identify and prioritize AI use cases that deliver measurable business outcomes and operational efficiencies.
  • Collaborate with business stakeholders to define requirements and translate business needs into AI solutions.
  • Oversee AI initiatives from concept through implementation and adoption.
  • Promote an AI-enabled culture by developing AI literacy, awareness, and training programs for business users and technology teams.
  • Establish performance metrics and success criteria for AI programs.
  • Lead data engineers, BI developers, AI enablement resources, automation engineers, and data analysts.
  • Recruit, develop, coach, and retain analytics and AI talent.
  • Foster innovation, collaboration, accountability, and continuous learning.
  • Establish career paths and skill development plans to support progression from BI-focused capabilities to advanced analytics and AI expertise.
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