Company Introduction
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
We are seeking a highly skilled Data Management & Governance professional with deep hands-on expertise in enterprise data discovery, Microsoft 365 platforms, and compliance-driven data operations. This role requires strong technical execution capabilities (non-negotiable) in managing, locating, and governing enterprise data across systems, combined with the ability to own data control frameworks, and drive governance best practices. The ideal candidate will bring a blend of strong technical data handling (primary focus) and data governance (secondary but important), ensuring secure, compliant, and efficient management of organizational data.
What You Will Do
Manage and govern enterprise data across Microsoft 365 (Exchange, SharePoint, Teams, OneDrive), Power BI, Atlassian Suite, and cloud platforms.
Execute advanced data discovery, search, and retrieval across systems to identify, analyze, and take action on enterprise data.
Perform data lifecycle operations including classification, preservation & remediation aligned with compliance requirements.
Develop deep understanding of enterprise data ecosystems—where data resides, flows, and how it is accessed.
Troubleshoot and resolve complex technical issues related to collaboration platforms and data access.
Support investigations, audits, and regulatory requests through targeted data retrieval and analysis.
Automate data processes and workflows using PowerShell, Script Runner, Webhooks.
Own and drive data governance, data control, and information lifecycle management frameworks across platforms.
Implement and manage data protection, retention, and monitoring mechanisms.
Administer and provide oversight of Microsoft 365 compliance controls (e.g., retention, eDiscovery, permissions governance).
Partner with Compliance, Legal, Security, and Technology teams to ensure company policy requirement
Lead audits, reviews, and continuous improvement initiatives related to data handling practices.
Act as a Subject Matter Expert (SME) for Data Management, Governance & M365 Controls.
Leverage automation and AI tools to enhance data discovery, monitoring, and efficiency
Basic Qualifications
Core Technical Expertise (Must-Have)
6–10 years of experience in data management, enterprise data search, and collaboration platforms.
Strong hands-on expertise in:
Microsoft 365 ecosystem (Exchange, SharePoint, Teams, OneDrive, Azure AD, Power BI)
Enterprise data discovery and search techniques
Large-scale data repositories and structured/unstructured data handling
Proven ability in data lifecycle management (classification, retention, remediation, deletion).
Strong technical troubleshooting and root cause analysis skills.
Technical Depth (Important)
Experience with:
Atlassian Suite (Jira, Confluence)
Cloud platforms (AWS, Azure, Google Workspace)
Programming / scripting experience:
PowerShell (preferred), Python, JavaScript or similar
Experience in automation, APIs, or workflow tooling (Power Platform, webhooks, etc.)
Preferred Qualifications
Certifications in Microsoft, cloud, or compliance domains (e.g., MS-500, AZ-104, Purview, CIPP).
Exposure to digital forensics and advanced eDiscovery workflows.
Experience leveraging AI-enabled tools for data management.
Type of work model
Details to consider
Privacy Notice
Based on 1,491 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $203K (10th–90th percentile: $106K–$245K).
See the full Data & ML salary breakdown →