Top Tech Jobs & Startup Jobs in Charlotte, NC

Analyzes deposit pricing, competitive intelligence, portfolio performance, client behavior, market conditions, and financial outcomes for Vanguard cash products. Builds forecasting and scenario-planning tools, evaluates pricing and balance-growth drivers, monitors economic and competitor developments, and delivers executive-ready recommendations. Partners with product, finance, risk, analytics, and marketing teams while maintaining strong controls, data quality, and model documentation.

Leads sales compensation strategy, planning, governance, and administration while advising senior executives. The role drives cross-functional initiatives, analyzes financial and business data, develops recommendations, improves operating models and accountability frameworks, and manages implementation risks, dependencies, and stakeholder communications. It also identifies opportunities to improve program scalability, operational efficiency, governance effectiveness, and sales performance.

Manages a team of data scientists delivering diagnostic, predictive, and prescriptive analytics, including conversational AI projects. Leads model development, validation, data quality assessment, research design, and statistical consultation. Partners with stakeholders to translate business needs into analytic solutions, communicates insights to executives, and advances organizational data science capabilities. Oversees hiring, performance management, training, and strategic planning while applying NLP, generative AI, agentic solutions, transformer architectures, and machine learning methods.

Leads enterprise data management strategy, data governance, quality frameworks, master data management, operational oversight, and a team of data analysts. Oversees data integrity, metadata, lineage, controls, incident remediation, vendor coordination, reporting, and domain data product health. Partners with business, product, engineering, and governance stakeholders to improve sales, marketing, and CRM data trustworthiness while managing major initiatives, risks, dependencies, and regulatory requirements.

Drives sales and lead generation for Vanguard investment products and services through proactive outreach, cold calling, relationship management, and consultative needs assessment. Builds relationships with prospective and existing clients, attracts high-value investors, promotes advisor consultations, communicates market and product expertise, and supports outreach strategy. Acts as a team role model and contributes to corporate initiatives and special projects.

Analyzes deposit pricing, competitive activity, portfolio performance, client behavior, market trends, and financial outcomes. Builds forecasting and scenario-planning tools, evaluates pricing and profitability opportunities, monitors economic and competitor developments, and presents executive-ready recommendations. Partners with product, finance, risk, analytics, and marketing stakeholders while maintaining strong data quality, model accuracy, governance, and risk controls.

Provides senior technical leadership for software architecture, full-stack development, cloud engineering, application integration, deployment, and production support. The role directs technology strategy, resolves complex technical issues, establishes engineering standards, mentors technical teams, and ensures secure, reliable, scalable solutions. Responsibilities include designing data integrations across APIs, databases, cloud platforms, and enterprise systems while supporting modernization initiatives and business process improvements.

Lead original quantitative and qualitative research on wealth management, financial planning, taxation, and portfolio construction. Produce thought leadership, inform investment strategy, mentor analysts, consult with senior leaders, and communicate research to clients, advisors, and media.

Identify business-focused AI/ML use cases and develop scalable solutions using machine learning, NLP, generative AI, LLMs, retrieval-augmented generation, and agentic workflows. Collaborate with data science and engineering teams on deployment, evaluation, monitoring, guardrails, and responsible AI standards. Communicate technical concepts to diverse stakeholders and deliver measurable value through practical AI/ML applications.

Provides expert technical leadership for conversational AI orchestration, knowledge management, model governance, and observability platforms. Defines architecture, standards, compliance pipelines, agent onboarding, knowledge ingestion, and model access patterns. Leads technical evaluations and proofs of concept, approves designs, resolves complex issues, supports secure and testable delivery, mentors engineers, and drives responsible AI engineering practices across Workplace Technology.