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Deloitte

Data Management Engineer - OpenText

Columbus, OH

$110K - $132K/yr

Work you'll do As a Data Management Engineer III on the AI & Data team, you will be responsible for ... Lead workstreams involving business requirements, functional design, process design, prototyping ...

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A map of the United States highlighting the number of Data Management Lead job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Data Management Lead job openings in each state, with California having the most at 2 and Alaska the least at 0.

CCB Risk Architecture - Risk Data Management Lead - Vice President

JPMorgan Chase & Co.

Columbus, OH • On-site

Other

Re-posted 17 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

As the Data Risk Management Lead for Consumer and Community Banking (CCB) Data Controls Oversight and Testing team, you will drive key processes that support data risk management across the organization. Your focus will be on implementing and enhancing data risk management initiatives, achieving excellence through meticulous planning, operational oversight, and fostering innovation. This role will involve collaborating with internal partners, including cross Risk teams, the Risk Management and Compliance Chief Data Office, Risk Controls, and Risk Technology. Together, we will uphold the highest standards of integrity and quality in our data risk management operations.

Responsibilities
  • Lead the implementation and enhancement of data quality risk management initiatives, ensuring compliance with BCBS 239, Firmwide Data Risk Management Policies and Standards, and data quality standards.
  • Manage onboarding and oversight of data assets, collaborating with partners across Risk, the Chief Data Office, Risk Controls, and Risk Technology.
  • Drive consistency in tracking and reporting of data quality items, ensuring timely remediation and clear visibility across stakeholders.
  • Serve as a subject matter expert, partnering with CCB Risk Product and Data Quality Execution Teams to influence priorities and foster collaboration.
  • Lead knowledge sharing and communication across teams to build consistent understanding of data risk management capabilities, tools, and processes, and to enable prompt and effective issue escalation.
  • Demonstrate critical thinking, creativity, project management, and strong communication skills to inspire impactful change.
  • Deliver presentations and business reviews to senior management, communicating insights and progress.
  • Oversee user support and platform documentation to promote clarity and accessibility.
  • Drive innovation by identifying and implementing opportunities to optimize processes and advance data risk management capabilities.
  • Participate in forums and committees to share best practices and support continuous improvement.
Required Qualifications, Capabilities, and Skills
  • 5 years of experience in data quality, risk control, data risk management, business analysis, process analysis, or business reporting within the financial services industry.
  • Strong understanding of data quality principles and risk control frameworks.
  • Demonstrated leadership in data risk management, with experience in optimizing processes and influencing stakeholders.
  • Proven analytical and problem-solving skills and skilled at understanding business and technical functions and assessing their impact on data.
  • Proven leadership driving multiple initiatives within a complex environment.
  • Proficiency in utilizing Jira and Confluence.
  • Willingness to help and share knowledge with other team members.
  • Experience working with diverse teams across different cultures and locations.
  • Skilled in presenting complex information and briefing senior management, adapting content to suit diverse audiences.
  • High attention to detail; follows through to ensure accuracy and comprehensiveness.
Preferred Qualifications, Capabilities, and Skills
  • Knowledge of LLM tools available for internal use
  • Familiarity with emerging technologies (e.g., Snowflake, Databricks).
  • Prior experience with data management and risk control disciplines
  • Knowledge of product development and project management methodologies, best practices, and tools such as Agile, Scrum, and Kanban.
  • Experience adapting to new data platforms and tools in a fast-paced environment
  • Proficiency with process-mapping and data visualization tools (e.g., Lucid, Tableau, Alteryx)
  • Commitment to diversity, inclusion, and transparent leadership.
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