AVP – Data Products, AI Enablement

MUFG

. Design and build end-to-end AI-powered applications spanning frontend experiences, backend services, APIs, data platforms, and AI/LLM capabilities .

Posted 10/15/2026full-timeUnited StatesLead💰 $96,000 - $143,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI-powered applications, integrating backend services, APIs, and data platforms while ensuring data security and governance. Proficient in collaborating with cross-functional teams to deliver innovative solutions in financial services and regulated industries.

Highest-signal resume keywords

AI-Powered Application DevelopmentReact DevelopmentData EngineeringCloud CertificationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonNode.jsTypeScriptNext.jsAPIsDistributed SystemsData SecurityPerformance OptimizationData VisualizationIntelligent Automation

Soft Skills

Strong CommunicationStakeholder ManagementProblem-Solving

Tools & Technologies

KubernetesAI/MLData PlatformsDashboardsApplication Frameworks

Certifications & Qualifications

Cloud CertificationData Engineering CertificationAI/ML Certification

Industry Keywords

Financial ServicesData GovernanceCybersecurityModel RiskRegulated Industry

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsJavaScriptKubernetesNext.jsNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Design and build end-to-end AI-powered applications spanning frontend experiences, backend services, APIs, data platforms, and AI/LLM capabilities
Develop intelligent applications using LLMs, RAG, vector search, semantic retrieval, AI agents, natural-language interfaces, and intelligent automation
Build responsive enterprise applications using React, TypeScript, Next.js, Python, Node.js, and modern API architectures
Develop backend services and APIs integrating enterprise data, AI models, banking systems, and third-party platforms
Transform financial, client, operational, and analytical data into dashboards, workflows, insights, and decision-support experiences
Build reusable frontend components, design systems, data visualizations, and application frameworks
Partner with product managers, designers, data scientists, AI engineers, and business stakeholders to prototype, validate, and produce AI and data products

Requirements

What you’ll need

Typically 5+ years of software, backend, platform, or data engineering experience
Experience with distributed systems and production data platforms
Knowledge of data security, governance, high availability, disaster recovery, observability, and performance optimization
Strong communication, stakeholder management, problem-solving, and technical leadership skills
Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience
Relevant cloud, data engineering, Kubernetes, or AI/ML certification preferred
Experience delivering technology solutions in financial services or another highly regulated industry preferred
Experience working with cybersecurity, data governance, model risk, architecture, and control functions preferred
Visa sponsorship/support is based on business needs; sponsorship/support is not anticipated for this position

Benefits

Comp & perks

Discretionary performance-based bonus and/or incentive compensation
Comprehensive health and wellness benefits
Retirement plans
Educational assistance and training programs
Income replacement for qualified employees with disabilities
Paid maternity and parental bonding leave
Paid vacation, sick days, and holidays
Hybrid work schedule: four days on-site and one day remote per week