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 two primary functions at Weisiger Group: managing the Business Intelligence team within the Business Technology department and leading enterprise-wide AI enablement and adoption. The role will mature BI staff, processes, and technology in the near term while defining a roadmap for the organization’s transition from traditional BI to a hybrid BI/AI environment. It will also maintain support for existing reporting technologies while shifting resources toward AI business solutions and hiring strategic AI talent. The director defines and executes a strategic roadmap to advance AI-enabled insights, automation, and decision support. Working closely with senior business and IT leaders, team members, vendors, and external consultants, the director ensures data, analytics, and AI capabilities deliver measurable business value while meeting governance, security, and compliance standards. The role combines AI technical expertise and thought leadership with people management, organizational change management, communications, and training. The position reports to the SVP, Chief Technology Officer, and is part of the Business Technology team. 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-based travel is required. The role is onsite-dependent 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.
  • Good working knowledge of industry-standard AI methodologies and best practices.
  • Ability to solve practical problems and handle situations with limited standardization, and to interpret written, oral, diagram, or schedule instructions.
  • Ability to perform the essential functions, with reasonable accommodations where applicable.

Responsibilities

  • Manage and mature the Business Intelligence team, its processes, and technology, and define the BI roadmap as the company transitions toward a BI/AI technology hybrid.
  • 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 an enterprise AI enablement vision, strategy, and roadmap aligned with business priorities and technology objectives.
  • Lead the transition from traditional BI reporting to AI-driven insights, automation, and decision support.
  • Evaluate, recommend, and govern enterprise AI platforms, tools, and services.
  • Work with cybersecurity, legal, and risk management teams to establish safe and compliant AI adoption practices, governance frameworks, usage policies, and operational standards.
  • Partner 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 a team that includes 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 the evolution from BI-focused capabilities to advanced analytics and AI expertise.
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