Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead the strategy and vision for an AI-powered advisor desktop experience, defining capabilities, improving workflows, and collaborating across functions to enhance advisor effectiveness and client relationships.

The role involves leading technical projects for software development, ensuring quality deliverables, mentoring staff, and addressing technical issues. Responsibilities include stakeholder communication and participation in project evaluations.

Lead product management activities for AI/ML products; drive design improvements, collaboration with cross-functional teams, and manage the product lifecycle with a focus on user experience and innovation.

Oversee compliance inspections, support development of compliance processes, conduct monitoring and testing, provide advisory support, and manage compliance policies.

Lead data architecture efforts across the organization, defining and governing enterprise data strategies, and collaborating with cross-functional teams to enhance data capabilities and support AI-driven initiatives.

The role involves executing marketing attribution products, collaborating with teams, translating business questions into analytical solutions, and influencing stakeholders for effective strategy.

The Data Analyst, Specialist role involves designing dashboards, optimizing SQL queries, and using Python for data transformation to enhance operational reporting and analytics. Key responsibilities include mentoring peers, translating business needs into insights, and managing operational reporting for performance monitoring.

The Senior Specialist Product Manager leads digital product management for strategic products, influences cross-functional teams, and drives the development and implementation of new digital products. They focus on enhancing client experience through qualitative and quantitative analysis, while participating in business planning and departmental activities.

The Senior Data Analyst leads complex analytical projects, collaborates with internal partners to translate business needs into analytical solutions, and develops data quality standards. They mentor analysts, create visualizations, and present insights to senior stakeholders.

Lead and develop a team of data engineers to manage enterprise vulnerability data, ensuring data quality and integration for security decision-making.