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# Senior AI & Data Consultant - Business Intelligence (BI) Delivery

- **Company:** Truist Inc
- **Location:** Greensboro, NC, United States
- **Experience:** Expert
- **Salary:** $130,000 - $158,000
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, JIRA, Business Software, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Machine Learning, Performance Tuning, Power BI, Microsoft Copilot, Software Engineering, Data Streaming, Enterprise Data Management, Feature Store, Qliksense, Snowflake, Gitlab, Information Technology, Data Analytics, Natural Language Understanding, Data Pipelines
- **Published:** November 12, 2026
- **Apply:** https://dejobs.org/x/x/3576DC9ECC4543CB860BAA286BF8E65E/job/

## About the Role

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

 * Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, or related field.
 * Minimum of 7 years of professional experience in AI and data.
 * Strong knowledge of AI models, data architectures, and analytics methodologies., * QlikSense experience, development, and deployment.
 * Snowflake/AWS Cloud experience.
 * Familiarity with observability, monitoring, and data quality practices.
 * Exposure to AI/ML technologies or AI-enabled analytics solutions.
 * Master's degree in a relevant technical discipline.
 * Experience in the financial services industry.
 * Familiarity with regulatory compliance and data governance frameworks.
 * Experience managing complex technical projects.
 * Rally/Jira experience in an Agile environment.
 * Gitlab DevOps experience for software development and deployment.

## Description

Designs, develops, and implements BI, analytics, and AI capabilities and data-driven solutions, and leads large technical initiatives to address complex business challenges. This role supports enterprise business intelligence, analytics, and reporting initiatives within the banking and financial services industry.

The ideal candidate has strong hands-on experience designing, building, and deploying Power BI dashboards, semantic models, and enterprise reporting solutions, along with a solid understanding of cloud technologies, data architecture, and data engineering concepts. The candidate can implement AI on BI and feature store capabilities, understand end-to-end data flows across cloud-based data pipelines, and translate complex business requirements into meaningful analytical insights. Experience supporting banking technology organizations, particularly CIO or executive-level reporting functions, is highly preferred.

***This position is office-based, onsite 5 days/week., Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

 * Designs, builds, and deploys Power BI semantic models and reports that provide governed, performant, and reusable analytics for business users.
 * Demonstrate a strong understanding of Power BI architecture, data modeling, relationships, DAX, and report performance optimization.
 * Implements AI on BI capabilities, such as natural language querying, Co-Pilot integration, AI-assisted insights, and predictive analytics, within Power BI and related analytics platforms.
 * Builds and maintains feature stores to support consistent, reusable features for machine learning and analytics use cases.
 * Translate business requirements into interactive dashboards, meaningful visualizations, and actionable reporting solutions.
 * Collaborates with cross-functional teams to integrate AI solutions into business applications and workflows.
 * Enforces and adheres to AI and data governance standards aligned with organizational goals.
 * Mentors junior team members to build, develop, and deploy BI and AI solutions and promote a data-driven culture.
 * Leads large or complex technical initiatives that involve technically challenging requirements, involving delegation of work and review of work products of the lower-level technical professionals.
 * Work with Architecture team to understand cloud architecture, data pipelines, and enterprise data environments.