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Leads Carlyle’s private equity platform supporting the CPEP evergreen vehicle and executing buyout transactions. Responsibilities include deal origination, financial modeling, valuation, capital structuring, transaction execution, fund oversight, portfolio construction, performance tracking, senior stakeholder communication, and mentoring junior professionals. The role requires managing cross-functional deal teams and multiple concurrent workstreams in a high-impact investment environment.

Manages full-cycle recruiting across EMEA and Japan, including staffing strategy, sourcing, interviewing, assessments, offers, candidate experience, visa compliance, and onboarding coordination. Partners with hiring managers and HRBPs, manages ATS reporting, develops talent pipelines, negotiates with search firms, trains interviewers, supports compensation benchmarking, and contributes to recruitment policies and compliance audits.

Manages contracts for Carlyle, a private markets investment firm. The provided job description contains no further details about responsibilities, qualifications, compensation, travel, or work arrangements.

Owns and improves identity and access management and endpoint platforms across SailPoint, Okta, Entra ID, CyberArk, Intune, and Jamf. Designs JML and RBAC workflows, administers SSO and MFA, enforces Zero Trust controls, automates operations with PowerShell and Python, resolves complex incidents, and supports compliance audits. The engineer also contributes to Microsoft platform initiatives, AI identity governance, mergers and acquisitions, executive support, and broader digital workplace transformation programs.

Provides internal sales support for a geographic territory by conducting outbound calls to financial advisors, identifying prospects, scheduling meetings, following up on leads, and supporting investment product sales. Maintains client relationships, resolves service issues with internal stakeholders, assists with marketing campaigns and territory planning, and manages CRM and administrative activities.

Supports AML/KYC onboarding, periodic reviews, documentation collection, beneficial ownership verification, sanctions and adverse-media screening, risk assessments, reporting, and first-line controls. Coordinates with Legal, Compliance, Fund Management, counterparties, and service providers; escalates higher-risk matters and missing information. Also assists with regulatory projects and Luxembourg platform entity administration while maintaining accurate records and contributing to process improvements.

Own end-to-end delivery of concurrent technical projects across enterprise platforms, cloud modernization, data, identity, infrastructure, and application integrations. Build execution plans, manage dependencies and risks, facilitate decisions, communicate with executives and clients, and coordinate engineering, business, and vendor stakeholders. Use Jira, Confluence, AI-enabled tools, and automation to improve reporting, documentation, governance, and delivery visibility within Agile or hybrid environments.

Supports private equity fund fundraising and investor relations across the fund lifecycle. Responsibilities include developing product expertise, preparing marketing and diligence materials, managing RFPs and DDQs, coordinating client meetings and investor events, analyzing competitive and fundraising data, producing investor analyses, and partnering with internal stakeholders on client engagement, compliance, and special projects.

Leads technology and cyber internal audits across planning, walkthroughs, testing, evidence validation, reporting, remediation, and follow-up. Evaluates cybersecurity, IAM, system operations, data management, ITGC, SOX, and business process controls. Uses AI, automation, and data analytics to identify anomalies and improve audit efficiency. Partners with Cybersecurity, Technology, business stakeholders, senior management, and the Audit Committee while supporting risk assessment, audit planning, and continuous methodology improvement.

Build and maintain scalable data pipelines from financial data vendors into Snowflake and Databricks gold tables supporting machine learning. Lead end-to-end projects involving LLMs, RAG, and AI technologies; implement CI/CD, infrastructure-as-code, containerization, testing, monitoring, and cloud-native deployments. Collaborate with stakeholders, ensure data quality, mentor junior engineers, and travel up to 20% to support distributed teams.