Top Tech Jobs & Startup Jobs

Develop and maintain Python and SQL data pipelines, analytical utilities, validation routines, and Tableau dashboards supporting Treasury Capital Markets P&L, capital, funding costs, and ROE reporting. Partner with Finance, Treasury, Risk, Accounting, and Technology teams to design scalable solutions, perform reconciliations and scenario analysis, troubleshoot data issues, and support testing, releases, and production tools. Translate complex financial and technical findings into clear visualizations and conclusions.

Provides first-line information security risk advisory expertise focused on Identity and Access Management. Assesses risks, processes, and controls; advises stakeholders and management on risk resolutions; communicates risk considerations; and supports business decisions in a regulated environment. The role requires applying analytical methods, sound judgment, and business context to strengthen risk management practices and address evolving regulatory expectations.

Leads Fannie Mae’s enterprise cyber defense strategy and organizations covering threat detection, incident response, cyber protection, threat intelligence, risk management, and security modernization. Oversees cyber capabilities across on-premises and multi-cloud environments, drives adoption of advanced technologies and automation, manages regulatory alignment and audit remediation, and partners with executive stakeholders to improve cyber resilience, respond to incidents, and protect enterprise assets.

Vice President, Cybersecurity will define and execute enterprise cybersecurity strategy, oversee security operations, engineering, risk, governance, cloud security, data protection, and resilience programs. The role leads cybersecurity teams, drives modernization and regulatory compliance, manages cyber risks and incident response, advances automation and emerging technology security, and communicates strategy and performance to executives, boards, regulators, and stakeholders. This executive also develops talent, strengthens partnerships, and improves cybersecurity capabilities across hybrid technology environments.

Leads enterprise architecture for data, analytics, AI/ML, and generative AI platforms. Defines architecture strategies, standards, reusable patterns, governance frameworks, and transformation roadmaps. Oversees architecture reviews addressing scalability, security, resilience, interoperability, cost, technical debt, and build-versus-buy decisions. Advises executives on technology investments, modernization, risk, and regulatory alignment while coordinating cybersecurity, compliance, legal, data governance, platform, business, and product stakeholders.

Develops marketing data strategies, KPI frameworks, governance standards, dashboards, reports, and automated data pipelines. Audits and reconciles multi-source datasets, translates business needs into technical requirements, leads user acceptance testing, and partners with Analytics, IT, and Data Engineering teams. Provides marketing data expertise, documentation, training, and strategic insights on campaign performance, audience behavior, attribution, and personalization.

Performs internal audits of Operations processes and controls, including design and operating effectiveness testing. Identifies risks, control gaps, and process improvement opportunities; documents testing results and recommendations; collaborates with business partners and management on audit findings, continuous risk assessments, and remediation actions.

Design, implement, and maintain enterprise Windows endpoint management using Microsoft Intune. Lead Windows 11 engineering, Autopilot provisioning, automation with PowerShell and Microsoft Graph API, endpoint security/compliance, migration from Workspace ONE, advanced troubleshooting, and Tier 3 support for large enterprise device fleets.

Lead engineering and operations for the enterprise Windows endpoint platform, managing a distributed team to design, deploy, secure, and modernize Windows endpoint services (imaging, provisioning, lifecycle, patching, and automation) while partnering with security and infrastructure teams to ensure reliability and compliance for thousands of endpoints.

Lead Audit’s AI, product, and data science strategy to build enterprise-grade AI/analytics/automation products and a unified audit platform. Drive platform architecture, model lifecycle, governance, and adoption while growing a high-performing team. Partner with Technology, Enterprise AI, risk, and business stakeholders to enable continuous monitoring, automated evidence generation, improved risk detection, and measurable efficiency and insight gains across the audit lifecycle.