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Leads modernization of large-scale fraud rule platforms and migrations. Provides architectural and technical leadership, oversees early-stage software projects, ensures security and compliance, and mentors development teams. Builds scalable, highly available, low-latency systems using Java, Python, Go, microservices, relational and NoSQL databases. Partners cross-functionally on requirements, planning, estimation, performance tuning, automation, and continuous engineering improvement. Familiarity with generative AI and LLMs applied to fraud rules is expected.

Lead technology and architecture for new business opportunities, evaluating feasibility, risks, build-versus-buy paths, and scalable target architectures. Design and guide AI-enabled and agentic systems, including workflows, orchestration, evaluation frameworks, and intelligence platforms. Partner with product, business, sourcing, and engineering teams through incubation and commercialization. Mentor technical teams and uphold security, reliability, compliance, and engineering standards.

Leads technology and architecture for new business opportunities, evaluating feasibility, risks, build-versus-buy pathways, and scalable target architectures. Designs and guides AI-enabled and agentic systems, including workflows, orchestration, evaluation frameworks, and intelligence platforms. Partners with product, business, sourcing, and engineering teams, mentors technical talent, establishes engineering standards, and ensures solutions meet security, reliability, compliance, and performance requirements.

Manage complex enterprise consulting portfolios across financial services, leading PMOs, transformation programs, and benefit realization. Responsibilities include risk and issue management, scope and timeline alignment, client relationship development, solution customization, executive communication, sales support, and leadership of multidisciplinary teams. The role also mentors staff, evaluates performance, and drives measurable client outcomes throughout implementation, adoption, and product evolution.

The Senior Managing Consultant drives measurable value by managing large digital enterprise programs, developing client strategies, and optimizing processes while leading project teams in the financial services sector.

Manage a portfolio of complex client programs supporting strategic change, technology implementation, transformation, and measurable benefit realization. Lead PMOs, manage risks, issues, scope, budgets, timelines, and multidisciplinary teams across financial services clients. Build executive relationships, identify business opportunities, contribute to proposals and sales, leverage subject matter experts, and mentor staff while delivering customized solutions.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, architecture, scalable software development, and early-stage project delivery. Provides technical leadership across cross-functional teams, mentors engineers, ensures security and architectural compliance, and drives engineering excellence. Designs high-throughput, low-latency distributed systems using Java, Python, Go, databases, microservices, and emerging AI technologies. Supports planning, estimation, performance tuning, automation, and continuous improvement.

Lead modernization of large-scale fraud rules and engine platforms, driving migrations, architecture, secure software development, and scalable distributed systems. Lead early-stage projects, scope and estimate work, mentor engineers, and ensure alignment with architectural standards, infrastructure, security, and business needs. Develop high-quality code in Java, Python, and Go while promoting engineering excellence, automation, performance, reliability, and continuous improvement across global, high-throughput platforms.

Leads acquiring-focused consulting engagements for Mastercard clients, serving as a payments subject matter expert. Responsibilities include scoping and pitching engagements, managing client relationships, directing project teams, developing data-driven recommendations, supporting product development, mentoring consultants, and contributing to knowledge management and business development. The role requires deep acquiring ecosystem expertise across card-present and card-not-present environments, strong analytical and communication skills, and experience managing people and multiple projects.

Lead modernization of fraud rules and engine platforms, driving large-scale migrations and scalable, low-latency software development. Provide architectural leadership, ensure security and compliance, guide project planning, mentor engineers, and promote engineering excellence. Develop and review secure code across Java, Python, and Go while supporting distributed systems, databases, DevOps practices, AI-enabled fraud solutions, and continuous improvement.