Top Tech Jobs & Startup Jobs in Charlotte, NC

The Senior AI Governance Analyst assesses and monitors AI-related risks, validates models, develops quantitative analyses, and recommends controls and mitigation strategies. The role produces reports, visualizations, and communication materials for governance discussions and senior leadership, supports risk and compliance processes, and mentors colleagues through peer review. It collaborates across business, technology, risk, and leadership teams to strengthen responsible AI practices in a regulated environment.

Supports enterprise AI governance by assessing AI-related risks, monitoring controls, applying quantitative analytics, producing data visualizations, and communicating insights to cross-functional teams and governance committees. The role may involve stress testing, model validation, model risk reporting, regulatory and audit support, and risk mitigation planning within a regulated financial-services environment.

Leads AI product solutions from pilot through production across multiple business domains. Develops AI enablement strategies, strategic and tactical roadmaps, feature backlogs, business cases, and user experiences. Partners with business stakeholders, data scientists, engineers, architects, and UX teams to prioritize needs, design solutions, manage dependencies, measure KPIs, mitigate risks, and deliver business value. Guides teams, communicates complex concepts to senior leaders, and mentors team members.

Owns and prioritizes AI product backlogs, translating business needs into features and user stories for data science and AI engineering teams. Manages delivery risks, dependencies, controls, testing, releases, and stakeholder alignment across the AI development lifecycle. Partners with cross-functional teams to deliver compliant AI solutions from pilot through production, coaches other Product Owners, and supports process improvement, change adoption, and measurable business value.

Leads the development of business intelligence and data visualization solutions by gathering requirements, analyzing complex data, identifying trends, and creating dashboards, reports, and insights. Partners with stakeholders and IT teams on data engineering, analytics infrastructure, governance, architecture, and visualization standards. Advises users on effective visualization practices, promotes usability and storytelling, may champion Agile methods, and provides team leadership and guidance on BI tools and processes.

Supports enterprise information management and data governance through metadata maintenance, data asset inventories, data quality rules, repository updates, reporting, corrective action plans, and risk monitoring. Partners with business, governance, and technical teams to ensure data is cataloged, trusted, secured, and managed according to internal standards and regulatory requirements.

Develops and implements information and data governance policies, standards, procedures, metrics, and data quality practices. Analyzes governance issues, maintains metadata, produces reports and dashboards, assesses processes and tools, manages risks, and recommends improvements. Partners with business groups, vendors, Audit, regulators, and risk teams to support data integrity, compliance, issue remediation, and effective use of enterprise data.

Leads AI product development across pilots, productionalization, and delivery. Owns and prioritizes backlogs, writes and accepts features and user stories, manages dependencies, risks, releases, and compliance controls, and partners with data scientists, AI engineers, business stakeholders, and delivery teams. Coaches Product Owners, translates business needs into capabilities, supports change management, and ensures predictable delivery of AI product value across the lifecycle.

Manages enterprise information and data governance processes, including metadata, data quality, retention, reference data, privacy, security, and compliance. Maintains information asset inventories and metadata repositories, develops data quality rules and corrective action plans, monitors data quality metrics, and partners with business and technical teams to identify risks and improve processes. Requires intermediate SQL, data management experience, analytical problem-solving, and strong communication skills.

Provides information and data governance across a business data domain. Responsibilities include developing and enforcing policies, maintaining metadata, monitoring data quality and compliance, resolving governance issues, analyzing trends, supporting risk controls, and collaborating with business, technology, and vendor stakeholders. The role also supports audits, reporting, process improvements, and emerging AI governance initiatives.