首席数据官（CDO）— 保险与投资
Chief Data Officer (CDO) — Insurance & Investments
职位概述
首席数据官（CDO）负责制定和执行企业范围内的数据战略、治理、质量、分析、人工智能和数据驱动的转型。
在保险与投资组织中，CDO 确保数据在承保、理赔、客户管理、投资/资产管理、风险、财务、合规和监管报告等各个领域被视为战略资产。
主要职责
制定并执行企业数据战略和路线图。
建立企业范围内的数据治理、所有权、标准、政策和控制机制。
提升数据质量、一致性、准确性、可用性和可访问性。
领导企业的数据管理和数据架构战略。
建立数据模型、数据平台、数据仓库、数据湖和数据集成能力。
领导商业智能（BI）、分析、报告和高级分析。
开发并监督人工智能、机器学习和预测分析项目。
支持保险、投资、财务、风险和运营领域的数据驱动决策。
建立涵盖数据隐私、安全、血缘关系、分类和访问的数据治理框架。
与 CIO/CTO 和技术团队合作，推进数据平台和架构。
通过可靠且受控的数据支持监管和管理报告。
为承保、理赔、定价、欺诈检测、客户分析和风险管理发展数据能力。
为投资团队提供组合分析、市场数据、绩效报告和投资情报支持。
建立数据 KPI 并监控数据质量和治理表现。
领导数据转型和现代化项目。
管理与数据、分析、人工智能和技术供应商的关系。
组建并领导数据、分析、BI、治理和数据科学团队。
推动企业范围内的数据驱动文化。
向高管和董事会汇报数据战略、风险、机遇和转型进展。
理想候选人背景
15年以上在数据、分析、技术、信息管理或金融服务业数据领域的持续工作经验。
5年以上担任 CDO、首席数据官、数据负责人、数据总监、分析负责人或同等高级管理职位的经验。
有保险、投资管理、资产管理、银行、财富管理或金融服务经验者优先。
具备以下强项：
企业数据战略
数据治理
查看英文原文
Job Summary
The Chief Data Officer (CDO) is responsible for the organization's enterprise-wide data strategy, governance, quality, analytics, AI, and data-driven transformation.
Within an Insurance & Investments organization, the CDO ensures that data is treated as a strategic asset across underwriting, claims, customer management, investment/asset management, risk, finance, compliance, and regulatory reporting.
Key Responsibilities
Develop and execute the enterprise data strategy and roadmap.
Establish enterprise-wide data governance, ownership, standards, policies, and controls.
Improve data quality, consistency, accuracy, availability, and accessibility.
Lead the organization's data management and data architecture strategy.
Establish data models, data platforms, data warehouses, data lakes, and data integration capabilities.
Lead Business Intelligence (BI), analytics, reporting, and advanced analytics.
Develop and oversee AI, machine learning, and predictive analytics initiatives.
Support data-driven decision-making across insurance, investments, finance, risk, and operations.
Establish data governance frameworks covering data privacy, security, lineage, classification, and access.
Partner with the CIO/CTO and technology teams on data platforms and architecture.
Support regulatory and management reporting through reliable and controlled data.
Develop data capabilities for underwriting, claims, pricing, fraud detection, customer analytics, and risk management.
Support investment teams with portfolio analytics, market data, performance reporting, and investment intelligence.
Establish data KPIs and monitor data quality and governance performance.
Lead data transformation and modernization initiatives.
Manage relationships with data, analytics, AI, and technology vendors.
Build and lead data, analytics, BI, governance, and data-science teams.
Promote an enterprise-wide data-driven culture.
Present data strategy, risks, opportunities, and transformation progress to executive leadership and the Board.
Ideal Candidate Profile
15+ years of progressive experience in data, analytics, technology, information management, or financial-services data.
5+ years in CDO, Chief Data Officer, Head of Data, Director of Data, Head of Analytics, or equivalent senior leadership positions.
Experience in insurance, investment management, asset management, banking, wealth management, or financial services preferred.
Strong expertise in:
Enterprise data strategy
Data governance
Data architecture
Data quality & master data
Business intelligence
Advanced analytics
AI / machine learning
Data privacy & security
Data management
Data integration
Regulatory data
Cloud data platforms
Strong understanding of financial-services data and regulatory requirements.
Experience managing enterprise data transformation programs and large multidisciplinary teams.
Strong C-suite, Board, and business stakeholder engagement.
Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, Business, or related discipline; master's degree/MBA preferred.
Originally posted on Himalayas