Top Tech Jobs & Startup Jobs in Charlotte, NC

Coordinates regulatory exams, audits, reviews, and compliance issue resolution for assigned business lines. Partners with compliance, audit, regulatory, and business stakeholders; facilitates responses, challenges meeting materials, tracks milestones, manages escalations, validates remediation evidence, and maintains status reporting. The role supports risk management frameworks, identifies control gaps, coordinates cross-business technology plans, and ensures issues are resolved in accordance with applicable laws and regulations.

Leads a cross-functional growth pod identifying and validating future client and enterprise value opportunities. Develops business cases, evaluates market potential and financial impact, leads pilots, monitors performance, and recommends whether initiatives should scale, iterate, pivot, or stop. Influences senior stakeholders across product, marketing, analytics, finance, strategy, and banking functions without formal authority, while helping transition validated opportunities into scalable operating models.

Provide legal counsel on federal banking laws, regulatory approvals, and enterprise regulatory change for strategic initiatives. Advise on fintech, payments, digital assets (including stablecoins and tokenization), investments, affiliate transactions, and new products. Draft memoranda, policies, and advocacy materials; engage with federal and state regulators; support examinations and regulatory filings; and participate in industry working groups and stakeholder education.

Lead enterprise-scale, AI-enabled risk and compliance transformation initiatives: define innovation roadmap, govern investments, coordinate AI/ML pipelines, enable data platforms and low-code visualizations, oversee vendor RFPs and portfolio prioritization, and deliver measurable risk reduction and efficiency across RM&C.

Designs, leads, and supports enterprise network security and infrastructure solutions. Responsibilities include network engineering, NAC, IAM, ZTNA, VPN, certificate and PKI management, secure connectivity, identity-driven access controls, segmentation, highly available distributed environments, platform upgrades, lifecycle management, and capacity planning. The role also evaluates technology solutions and leads cross-functional initiatives focused on performance, reliability, scalability, and capacity.

Evaluates emerging machine learning technologies and designs scalable, secure enterprise architectures covering data ingestion, feature engineering, training, deployment, monitoring, governance, and responsible AI. Partners with engineering, data science, platform, risk, and security teams to establish MLOps standards, reusable solution patterns, and production deployment strategies. Provides technical leadership, evaluates vendors, guides implementation, and translates complex ML architecture recommendations for technical and non-technical stakeholders.

Manage and enhance AML transaction-monitoring models across the full development lifecycle, including data exploration, production deployment, monitoring, tuning, documentation, and validation. Partner with financial-crime teams, model risk management, auditors, regulators, and business stakeholders. Apply statistical and machine-learning techniques to develop anomaly-detection systems, defend methodologies, address validation concerns, and advance the bank’s AML monitoring program.

Reviews lending and deposit transactions for adherence to bank policies, fair and responsible banking regulations, and risk controls. Analyzes underwriting and pricing decisions, identifies elevated risks and process gaps, prepares documented work papers and reports, communicates findings to business partners, and recommends process improvements. Applies statistical review practices and stays current on relevant financial services laws, regulations, and guidance.

Leads the global custody operations function, overseeing securities settlement, corporate actions, asset servicing, reconciliations, sub-custodian networks, risk controls, regulatory compliance, resilience, client escalations, budgets, and workforce strategy. Drives transformation from batch processing to real-time exception management using automation, AI, cloud, and ISO 20022. Builds leadership depth, manages vendors and market relationships, and ensures efficient, accurate, compliant servicing of client assets across global markets.

Owns the strategy, roadmap, prioritization, governance, adoption, and lifecycle of data products supporting reporting, analytics, operational decisions, and AI use cases. Partners with business, engineering, architecture, analytics, and governance teams to translate requirements into scalable data products. Leads backlogs, stakeholder alignment, data quality, metadata, lineage, modernization, cloud migration, KPI definition, and continuous improvement across the Investment Services data domain.