Artificial Intelligence Jobs in Plano, TX

Leads Card customer analytics and AI strategy, overseeing analytics leaders, data scientists, and analysts. Drives GenAI, machine learning, experimentation, personalization, competitive intelligence, and forward-looking analysis across product, pricing, marketing, and servicing. Partners with business and technical stakeholders to deliver responsible solutions from concept through production, while building organizational capabilities, developing talent, and influencing executive decisions.

Leads data ownership and governance for data products, defining metadata, quality, controls, integration, and risk mitigation. Partners with business, analytics, technology, and engineering teams to deliver curated datasets and production-ready solutions. Uses advanced SQL for validation and root-cause analysis, manages workstreams and staff, and supports analytics and machine learning use cases. Applies AI and LLM tooling to automate governance activities and maintains data integrity across regulated environments.

Leads security engineering across multiple technology domains, clarifies security requirements, supports multi-level network security, and advises stakeholders during vulnerabilities and disruptive events. Performs threat modeling, risk assessment, vulnerability and penetration testing, and validates AI-assisted security recommendations. Designs and implements enterprise security solutions while ensuring security testing, control validation, traceability, auditability, and resiliency throughout software development lifecycles and toolchains.

Leads Core Networks solution and service delivery transformation across the Americas. Owns the SSD_OS roadmap, prioritizes automation and AI use cases, establishes data, security, privacy, observability, and quality guardrails, and drives measurable adoption and business value. The role leads senior contributors and matrix programs, aligns executives and stakeholders, supports customer engagements, and advances a modern, software-first operating model.

Leads payments governance and third-party oversight, including risk assessment, control evaluation, due diligence, monitoring, issue remediation, and regulatory compliance. Manages a multidisciplinary team, modernizes governance through automation and analytics, directs transformation programs, and advises senior stakeholders on risk posture, escalations, and readiness decisions across the payments ecosystem.

Leads Chase Auto product strategy and end-to-end lifecycle, from customer research and discovery through launch and post-launch optimization. Owns product roadmaps, identifies improvement opportunities, coordinates complex initiatives, and drives scalable customer, OEM, and dealer experiences. Partners with senior leaders, cross-functional teams, vendors, and stakeholders while ensuring policy, procedure, and compliance adherence. Uses data, systems thinking, agile methods, and customer experience analytics to deliver innovative products.

Lead cybersecurity architecture for cloud-native enterprise solutions: evaluate controls and new technologies, advise stakeholders, provide technical guidance, promote firmwide SDLC practices, and mentor peers to mitigate risk and adopt strategic solutions.

Lead Ericsson’s enterprise AI strategy and portfolio across HR, Finance, Sourcing, Customer Support, Marketing, Product Development, Network, and Cloud. Translate business challenges into AI roadmaps, solution architectures, investment cases, and measurable outcomes. Oversee initiatives from opportunity identification through delivery, adoption, and value realization. Prioritize data and AI investments, model ROI and TCO, evaluate vendors and platforms, and advise senior stakeholders on scalable, secure, governed, and commercially viable solutions.

Leads cybersecurity architecture strategy and solutions across cloud-based applications and technical domains. Analyzes risk, designs controls, evaluates emerging technologies, and drives automation. Develops security analytics dashboards, data models, pipelines, alerts, and executive reporting while ensuring data quality, traceability, resiliency, and auditability. Partners with vendors, technical teams, and senior business leaders to improve cybersecurity outcomes.

Owns full-cycle recruiting for executive Product and Design roles, from intake through offer close. Serves as the primary recruiting relationship manager for senior stakeholders, develops diverse talent pipelines, provides market insights, manages requisition governance, and delivers data-informed hiring updates. The role also improves recruiting workflows, uses AI-enabled tools and analytics, supports inclusive hiring, and manages complex offers and stakeholder expectations. This is an individual contributor position without people-management responsibilities.

Leads product analytics for small business lending by framing business questions, building and validating datasets, developing KPI and reporting frameworks, conducting statistical and predictive analyses, and translating findings into executive-ready recommendations. Partners with product, lending strategy, risk, finance, technology, and operations stakeholders to improve measurement, automation, data governance, customer understanding, and lending-product performance.

Lead AI-enabled transformation across client onboarding, servicing, and contact center operations. Responsibilities include mapping journeys, identifying and prioritizing automation opportunities, defining measurable requirements and guardrails, re-engineering processes, designing human-in-the-loop controls, ensuring auditability, partnering with Risk and Compliance, instrumenting KPI dashboards, supporting pilots and scale-up, and creating training materials. The role requires stakeholder management across Operations, Product, Data, Technology, Risk, and Compliance in a regulated financial-services environment.

Leads third-party cyber and technology risk assurance, including strategy, governance, control assessment, remediation, regulatory alignment, reporting, and risk analytics. Partners with control owners, procurement, legal, security, and business stakeholders to strengthen third-party controls and contractual protections. Uses authorized AI to synthesize evidence and support executive reporting while validating outputs for security, auditability, and regulatory compliance. Drives continuous improvement and manages complex cross-functional initiatives.

Leads enterprise cloud platform adoption across business lines by advising engineering teams on architecture, onboarding, migration, governance, networking, and identity. Builds automation and self-service tooling, develops documentation and training, evaluates infrastructure technologies, and translates customer feedback into platform improvements. Applies enterprise-authorized AI responsibly within engineering workflows while validating recommendations for resiliency, security, auditability, and data sensitivity.

Lead complex, cross-team authentication and authorization programs within the Chief Technology Office. Responsibilities include quarterly planning, sprint dashboard management, roadmap alignment, dependency and risk resolution, governance forums, Jira data quality, release communications, executive reporting, compliance-by-design, third-party oversight, and validated use of enterprise AI tools.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Own the vision, strategy, roadmap, backlog, metrics, and end-to-end delivery of enterprise contact center capabilities. Integrate Amazon Connect workflows with business applications, lead discovery and stakeholder alignment, manage product readiness and adoption, and ensure secure, reliable, measurable outcomes across engineering, operations, risk, and business teams.

Lead enterprise technology change and communications initiatives, developing strategies, executive messaging, stakeholder engagement, communication programs, governance frameworks, and effectiveness metrics. Partner with senior leaders and cross-functional teams to support transformation initiatives, manage issues and escalations, ensure organizational alignment, and communicate program outcomes. Use authorized AI capabilities to assist with planning, risk synthesis, reporting, and governance while validating outputs and protecting sensitive data.

Lead cross-functional operations transformation programs from strategic planning through execution. Responsibilities include developing roadmaps, managing milestones and RAID items, coordinating Business, Operations, and Technology stakeholders, defining OKRs and KPIs, analyzing operational data, building dashboards, managing governance, resolving conflicts, and delivering executive-ready artifacts. The role requires influencing senior stakeholders, driving measurable improvements in quality, cost, efficiency, and cycle time, and potentially assuming people-management responsibilities as the portfolio grows.

Support traded-products counterparty credit risk analysis by monitoring exposures, sizing limits, and improving exposure methodologies and tooling. Partner with sales, trading, credit officers, quantitative research, technology, and operations to perform deep dives, report risks, form risk appetite views, and drive AI-enabled workflow improvements and firmwide initiatives.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Leads technology risk and controls management within Identity and Access Management, including risk assessment, control governance, regulatory compliance, issue remediation, and executive reporting. Develops and matures Continuous Control Monitoring capabilities using automation, data analytics, AI, and machine learning to automate testing, detect exceptions, identify emerging risks, and improve control effectiveness. Partners with technology, data, product, business control, and regulatory stakeholders to strengthen the control environment.

Support digital product analytics for an application status platform by defining measurement strategies, KPIs, analytical frameworks, dashboards, governed datasets, and anomaly alerts. Analyze platform data, identify trends and performance issues, communicate recommendations to product and technology stakeholders, and collaborate on instrumentation and pipelines. Use AI-enabled tools to accelerate validated analysis while building reusable playbooks and scalable self-service reporting capabilities.

Leads enterprise information and data architecture strategy across products, applications, and technologies. Establishes governance standards, reusable frameworks, lifecycle controls, and target-state architecture while advising senior leaders and partnering with engineering and business teams. Evaluates emerging technologies, hybrid and multi-cloud models, AI-assisted architecture workflows, and data management solutions. Ensures recommendations meet resiliency, security, auditability, operational stability, and regulatory expectations across a global financial services environment.

Leads technology risk and controls management by identifying, assessing, reporting, and mitigating operational and compliance risks. Oversees control design and effectiveness, issue remediation, governance reporting, regulatory alignment, and risk assessments. Partners with technology leaders, control teams, data officers, auditors, regulators, and executives. Uses and validates enterprise AI tools to accelerate evidence synthesis and reporting while maintaining security, auditability, and regulatory standards.