Top Tech Jobs & Startup Jobs

Provides technical leadership for full-stack application engineering supporting investment risk and analytics. Leads architecture, development, vendor integrations, AWS-based applications, APIs, testing, operational support, and AI-enabled solutions. Mentors engineers, establishes engineering standards, reviews designs, manages technical risks, performs root-cause analysis, and collaborates with business and technology stakeholders to deliver scalable, secure, maintainable solutions.

Lead global transfer pricing and intercompany accounting activities, including allocation systems, data validation, variance analysis, reconciliations, settlements, internal controls, audit support, financial reporting, automation, and process improvement. Partner with finance and business stakeholders to resolve issues, improve procedures, and support finance transformation initiatives.

Develops fraud prevention rules and strategies using advanced analytics, statistics, structured and unstructured data. Manages fraud strategy projects, governance, data structures, stakeholder reporting, vendor relationships, and risk mitigation processes. Translates business requirements into analytical solutions, validates scalable analyses, monitors industry trends, and recommends strategies to business partners.

Design, build, and maintain end-to-end ML pipelines and production deployments using AWS SageMaker. Develop feature engineering and data pipelines, automate CI/CD model deployments, implement monitoring and drift detection, manage versioning and experiment tracking, optimize models for performance and cost, and support production operations and incident response.

Leads the architecture and evolution of enterprise data products and cloud-native AWS data platforms. Designs scalable data pipelines, integrations, and distributed processing solutions using modern data engineering practices. Partners with stakeholders to translate business needs into technical solutions, guides engineering teams, evaluates technologies, supports architecture governance, and mentors engineers.

Leads commercial excellence across Vanguard Workplace Solutions by translating business and product priorities into go-to-market activation, sales enablement, field readiness, commercialization, coaching, learning, and measurable adoption. The role strengthens sales execution, pipeline management, account planning, commercial messaging, product launches, and leadership effectiveness while coordinating cross-functional stakeholders and influencing senior executives.

Leads business continuity and operational resilience activities across investment operations, including impact analysis, recovery planning, testing, incident response, supplier resilience oversight, risk remediation, reporting, governance, and stakeholder training. Partners with Operations, Technology, Risk, Compliance, and Vendor Management teams to strengthen organizational preparedness and ensure critical services remain resilient during disruptions.

Develops and maintains internal audit and SOX reporting deliverables, dashboards, automations, data visualizations, and executive reporting materials. Analyzes audit and SOX data to identify trends and insights, improves data quality and reporting effectiveness, supports reporting technology administration, and coordinates stakeholders and strategic projects across the audit organization.

Leads technical product strategy within enterprise security and fraud, translating business objectives into engineering initiatives, roadmaps, requirements, and measurable outcomes. Owns product documentation, architecture collaboration, operational metrics, client experience improvements, and delivery alignment with organizational priorities. Requires security domain knowledge, cloud expertise, advanced problem-solving, and cross-functional leadership across major initiatives.

Lead the architecture and delivery of a global fraud case management platform integrating multiple applications and services. Establish engineering standards for a new full-stack team, mentor engineers, influence technical roadmaps, and drive resilient, scalable platform development. Champion AI-assisted engineering practices, cloud-native technologies, automation, responsible AI adoption, and continuous improvement while supporting long-term platform expansion.