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Provides senior individual-contributor technical leadership for complex, enterprise-scale software systems. Designs scalable, secure, resilient architectures; leads development, testing, deployment, and operational readiness; resolves production and performance issues; drives automation, observability, engineering standards, and technical roadmaps. Partners with product, business, architecture, and engineering teams, influences cross-functional initiatives, reduces technical debt, mentors engineers, and advances software engineering practices across the organization.

Lead architecture, design, development, and delivery of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, Spark, and modern delivery practices. Drive modernization, technical strategy, design reviews, code quality, security, reliability, and observability. Coordinate globally distributed teams, collaborate with product and technical partners, mentor engineers, and deliver secure, high-performance software across the full development lifecycle.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive modeling, forecasting, recommendations, fraud detection, embeddings, and foundation-model applications. Defines experimentation frameworks and success metrics, drives projects from conception through production, partners with cross-functional stakeholders, presents technical recommendations, and mentors data scientists and AI engineers. Contributes to hiring, capability development, and the organization’s long-term technical direction.

Lead the design and evolution of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architect cloud-based ETL and ELT solutions using Databricks, Spark, Delta Lake, and related technologies. Establish data quality, governance, lineage, observability, security, and compliance controls. Drive modernization, performance optimization, technical standards, cross-functional delivery, architectural decisions, mentoring, talent assessment, and strategic roadmap planning.

Provides senior individual-contributor technical leadership for complex, enterprise-scale software systems. Leads architecture, design, development, testing, deployment, and operational excellence across distributed platforms. Partners with product, business, architecture, and engineering teams to translate strategic requirements into secure, scalable, resilient solutions. Drives automation, reliability, performance, technical-roadmap decisions, engineering standards, and technical-debt reduction while mentoring engineers and influencing cross-functional stakeholders.

Leads architecture, design, development, testing, and delivery of scalable experimentation and analytics software. Builds cloud-native services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, and Spark. Drives modernization, technical strategy, architecture reviews, security, reliability, observability, and continuous delivery. Coordinates globally distributed teams, partners cross-functionally, mentors engineers, and ensures robust solutions align with enterprise standards.

Leads the design, development, and modernization of enterprise data platforms and pipelines supporting credit risk, analytics, regulatory reporting, and AI initiatives. Architects cloud-based ETL/ELT and streaming solutions using Databricks, Spark, Delta Lake, and related technologies. Establishes data quality, governance, lineage, security, monitoring, and operational standards while optimizing performance and cost. Partners with cross-functional stakeholders, influences architecture and roadmap decisions, mentors engineers, and drives delivery across complex initiatives.

Provides senior individual-contributor technical leadership for complex, enterprise-scale software engineering initiatives. Designs and delivers secure, scalable, resilient systems; drives architecture, development, testing, deployment, automation, observability, and operational excellence. Partners with product, business, architecture, and engineering stakeholders, resolves complex production issues, reduces technical debt, improves engineering productivity, and influences technical strategy across teams and geographies.

Leads the design, development, deployment, and evaluation of advanced machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Defines experimentation frameworks, applies embeddings and foundation-model techniques, measures business impact, and partners with business, product, engineering, and analytics teams. Mentors data scientists and AI engineers, influences technical direction, presents findings to leadership, and contributes to hiring and capability development.

Provides expert individual-contributor leadership for enterprise-scale software engineering. Designs and delivers secure, resilient, scalable solutions across services and platforms; drives architecture, development, testing, deployment, automation, observability, and operational readiness. Partners with product, business, architecture, and engineering stakeholders, resolves complex production issues, reduces technical debt, advances engineering standards, and influences technology roadmaps. The role also mentors engineers and contributes to architecture forums, technical communities, and enterprise-wide initiatives.