
Global financial services firm
CIB Tech Data Technology Controls Lead
The primary function of the Data Technology Controls Lead role is to work within the Corporate Investment Bank (CIB) Risk and Control Management function to support the rollout and implementation of data-related technology controls defined by Firmwide Data Assurance and CIB Chief Data Office (CDO).
Working closely with CIB CDO, CIB Sub-LOB Data Governance Leads and Technology Asset Owners, the team have a number of primary objectives:
Job Responsabilities
- Define and publish data-related technology control procedures for CIB, including technical data quality, data retention and destruction, data protection, and data privacy controls.
- Provide subject matter expertise regarding the data-related technology control procedures to Firmwide Data Assurance, CIB CDO Leads, sub-LoB Data Governance Leads, Application Owners, and Information Security Managers.
- Support CIB Application Owners with the adoption and evidencing of data-related technology control procedures.
- Maintain a knowledge base for data-related technology control procedures, including best practice, guidelines and training.
- Track and report metrics and OKR’s (Objectives & Key Results) to senior stakeholders (up to and including CIB CTO/CDO level) relating to data-related technology control procedures.
- Support compliance, audit and regulatory action plan execution for data-related technology control implementation across CIB.
- Identify and implement automation and process improvements, and contribute to the Data Architecture tooling requirements (including new features), to improve efficiency and effectiveness of controls.
The Data Technology Controls Lead will have a strong knowledge of data management and best practices, is able to engage with stakeholders across all levels of the organization, able to provide supervision and mentorship to team members and be required to evidence the following required levels of experience, knowledge, and skills.
Required qualifications, capabilities and skills
- Experience of application solution design and delivery.
- Experience of data management and governance frameworks, approaches, tools and techniques.
- Experience of creating or maintaining a knowledge base, including best practices, guidelines and training.
- Understand and explain technology related topics to business stakeholders, such as CIB CDO.
- Ability to work in a team environment with changing and competing priorities.
- Ability to supervise and mentor junior members of the team to provide direction and development.
- Demonstrates excellent engagement skills with key stakeholder by translating control requirements to required activities.
Preferred qualifications, capabilities and skills
- Knowledge of data management capabilities, such as lifecycle management, data quality (DQ) management, metadata management, data classification, data lineage, data privacy or data integration.
- Knowledge of data management technologies (e.g. data retention, data integration, data visualization, analytics) and integration styles (e.g. file, API, messaging, etc.).
- Knowledge of Financial Services.
- Experience of process automation implementation (including the use of LLM and other AI solutions).
- Experience of reporting tools such as Qlik, Tableau or Excel.
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.5
薪酬
4.0
企业文化
3.8
职业发展
3.2
管理层
2.8
68%
推荐率
优点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
薪资范围
44个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2份报告
$188,500
年薪总额
基本工资
$145,000
股票
-
奖金
-
$182,000
$195,000
面试评价
4条评价
难度
3.0
/ 5
时长
14-28周
录用率
50%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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