Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

JPMorgan Data Governance Lead - VP 
United States, Ohio, Columbus 
347525210

03.09.2024

As a Data Governance Lead within the AWM Data Governance CDO team, you will play a key role in AWM's ability to identify, manage, and measure data risks. You will influence the mitigation of data risks and help drive key priorities with a primary focus on Data Use risk. You will also be responsible for developing and implementing solutions that support AWM's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

Job Responsibilities:

  • Drive adherence and compliance to Firmwide Data Risk Management policies, standards, controls, and operational practices to meet AWM's unique business and client expectations, regulations, and local and regional laws.
  • Provide leadership with recommendations for enhancements to the overall Data Governance structure across the firm, meeting the needs of AWM globally in line with firm-wide policies and standards.
  • Oversee data use case review and management and manage data risk through an oversight and escalation framework.
  • Partner with Controls, Risk, Compliance, Audit, Legal, Product Owners, Application & Information Owners, and Technology partners to sustain a mature AWM Data Governance framework.
  • Collaborate with Privacy, Legal, and Compliance partners to review and assess data use risk for unique AWM data uses.
  • Provide ideas on improving existing processes to achieve enhancements and efficiencies.
  • Support the execution of large-scale, multi-year program deliverables related to specific workstreams (i.e., applications) and build robust program management skills.
  • Oversee activities necessary to support data risk management for AWM to operate within risk appetite.
  • Participate in Firmwide and AWM Governance forums, lead meetings, and drive action to address requirements.
  • Develop and implement AI and automation solutions: Lead initiatives to integrate AI and automation technologies into data management practices, ensuring these solutions meet business needs and regulatory requirements.
  • Monitor and evaluate AI/ML projects: Oversee the implementation and performance of AI/ML projects, ensuring they align with strategic goals and deliver measurable benefits.

Required Qualifications, Capabilities, and Skills:

  • Seasoned relevant experience with a strong understanding of control and risk management concepts, including the ability to evaluate controls and create procedure and process flows in conjunction with business and control partners.
  • Data governance subject matter expertise.
  • Experience implementing firmwide policies and standards.
  • Excellent senior stakeholder management skills and experience coordinating across a wide range of functional teams.
  • Previous experience in strategic and tactical initiatives.
  • Solid organizational skills, including attention to detail, time management, and multi-tasking.
  • Strong critical thinking, problem-solving, and analytical skills.
  • Excellent communication skills (verbal and written), including the ability to present concise, direct, and timely communications to management and appropriately escalate.
  • Adaptable to work in an evolving and changeable environment.
  • Advanced skills with the core MS Office suite (Excel, Word, and PowerPoint).
  • Ability to use creative thinking to identify solutions for complex processes and/or issues.

Preferred Qualifications, Capabilities, and Skills:

  • In-depth experience with the data architecture discipline, including various database design techniques, modeling tools, and data architecture principles.
  • Certification in Data Technology, Agile, or other project management/Business Analysis applications.
  • Familiarity with AI/ML technologies and automation solutions .
  • Experience with data integration tools: Knowledge of tools for efficient data handling and normalization.
  • Knowledge of regulatory frameworks: Understanding of regulations related to AI and data use, such as GDPR and other relevant laws.

Please note this role is not eligible for employer immigration sponsorship.