Global Markets Data Management– Vice President/Director

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Global Markets Data Incident Management Team

The GMDM Team is responsible for establishing and executing data management strategy and data governance for GM. The team works closely with other groups within GM, other lines of business and Enterprise functions. The team drives strategic initiatives and projects in the areas of data management and governance.

The GM Data Incident Management team within GMDM is accountable for remediation of data incidents concerning consumption of GM Data. The team triages, prioritizes and remediates GM data incidents, working closely with other groups within GM and other lines of business, including Technology, support partners (in particular Market Risk and Counterparty Credit Risk) and Enterprise functions at all levels.

The ideal candidate will have expert knowledge of GM products, data structures, processes, strong project management skills, and experience in running data management projects, and understanding Bank of America's policies, standards, and procedures.

Role Responsibilities:

• Manage data incident triage with key stakeholders.

• Act as a liaison between technical and non-technical stakeholders, translating complex data concepts into actionable insights.

• Provide SME knowledge and interface with various technology, quantitative, and business groups, representing providers and consumers of GM's data.

• Deliver insights from large datasets, design data solutions, and communicate solutions to stakeholders.

• Strong ability to conceptualize business requirements as functions and data models.

Required Skills:

• Bachelor's degree or equivalent work experience.

• High intensity and initiative - thrives in a fast-paced, high-stakes environment.

• Curious and analytical mindset - proactive in exploring new ways to improve and optimize data processes.

• Strong analytical and relentless problem-solving skills, critical thinking.

• In depth knowledge of one or more areas within GM or related functions.

• Knowledge of financial markets, traded products, trade life cycle management and market conventions.

• Ability to facilitate discussions across various levels of stakeholders.

• Ability to multitask and properly prioritize multiple projects.

• Good communication, interpersonal, and organizational skills.

• Proficiency in Python (Pandas, NumPy) for data processing and automation.

• Strong SQL skills, with experience in relational databases (PostgreSQL, SQL Server, Oracle) and NoSQL databases.

Desired Skills:

• Knowledge of the various functions within GM trading organization and other functions interacting with GM, such as Operations, Market Risk, Counterparty Credit Risk Finance.

• Knowledge of General Ledger and Chart of Accounts.

• Knowledge / understanding of trading agreements.

• Knowledge of big data frameworks (Hadoop, Spark, Kafka).

• Understanding of API integrations, data lakes, and real-time data streaming architectures.

Shift:
1st shift (United States of America)

Hours Per Week:
40

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