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Risk Mgr, Data Governance, Global Operations Shared Services
AMAZON-HQ2 • Arlington, Virginia, United States • onsite
FULL_TIME
Active
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Job Details
Company
amazon hq2
Location
Arlington, Virginia, United States
Work Type
onsite
Job Type
FULL_TIME
Posted
February 14, 2026
Description
Amazon's Global Operations Services & Support (GOSS) Compliance & Data Integrity
(CDI) vertical is seeking a highly talented and motivated Risk Manager III to
own complex data governance programs within the Enterprise Data Governance &
Standards function—a critical team that defines policies, ownership models,
validation standards, and quality thresholds that turn operational data into a
strategic asset suitable for capital allocation, market entry analysis, and
portfolio planning.
A successful candidate for this role will have an established background in risk
management, strong technical acumen with data governance frameworks and master
data management, experience leveraging AI/ML for data quality validation, along
with excellent project management and communication skills. The candidate must
demonstrate the ability to operate independently with limited guidance in
ambiguous problem spaces, building consensus across Director-level organizations
while creating predictable data governance standards and process paths.
Key job responsibilities
• Own and deliver complex data governance programs that span multiple teams or
focus on critical data domains (e.g., implementing master data frameworks;
building data validation rules for AI-driven decisions; establishing data
lineage tracking across operational systems)
• Manage the full lifecycle of initiatives from idea through design, approval,
build, launch, iteration, and deprecation
• Find path forward in difficult situations where technical solutions,
stakeholder alignment, or resource availability is unclear
• Identify opportunities where data governance automation could unlock business
value or remove perceived risk blockers
• Oversee rollout of data governance controls and audits, including testing and
measuring effectiveness of data validation mechanisms, data quality rules, and
master data management processes
• Balance customer experience against risk management concerns in data
governance framework design
• Influence roadmaps, business and technology decisions across CDI functions and
partner organizations
• Contribute to risk-related policies and contracts that govern data governance
implementation
• Write clear and compelling narratives (6-pagers, PR/FAQs) that explain data
governance programs and their business impact
• Present effectively to Directors and VPs on program status, risks, and
recommendations
• Drive efficiencies in how data governance is delivered and maintained
• Create predictable controls and process paths that teams can follow
independently
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family
members, including domestic partners and their children. Benefits can vary by
location, the number of regularly scheduled hours you work, length of
employment, and job status such as seasonal or temporary employment. The
benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you
exactly, we'd still love to hear from you! At Amazon, we value people with
unique backgrounds, experiences, and skill sets. If you’re passionate about this
role and want to make an impact on a global scale, please apply!
About the team
The Compliance & Data Integrity (CDI) vertical under GOSS ensures Amazon's
operations are compliant, resilient, and built on trusted data. The Enterprise
Data Governance & Standards function is the backbone of data credibility across
Operations, defining what good looks like for data—not the systems or business
recommendations that rely on it. This function establishes master data
governance frameworks for critical entity types with validation rules for
AI-driven decisions, preventing AI models from making recommendations based on
ungoverned or stale data.
Basic Qualifications: - 6+ years of com
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