GM Data Incident & Governance Lead

Bank of America; New York (NY); On-site; USD 110,000 - 250,000; Full time

Job summary

Bank of America is seeking a data management professional within Global Markets Data Management in New York. You will lead data incident triage, translate complex data concepts for diverse stakeholders, and deliver scalable data solutions.

The role emphasizes collaboration across technology, risk, and operations, with Python and SQL as core tools, and an emphasis on data quality and governance for GM data.

Qualifications

• Bachelor's Degree required.
• Knowledge of GM trading functions and related operations.
• Knowledge of General Ledger and Chart of Accounts.
• Knowledge of big data frameworks (Hadoop, Spark, Kafka).
• Understanding of API integrations, data lakes, and real-time data streaming architectures.

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.
• Effectively manages multiple concurrent initiatives and competing priorities, consistently delivering high-quality outcomes in a fast-paced and complex environment.
• Demonstrates exceptional organizational and execution skills, balancing strategic objectives, operational responsibilities, and time-sensitive deliverables while maintaining a high standard of accuracy and accountability.
• Conducts comprehensive analyses of complex data quality issues, performing detailed root-cause investigations to identify underlying drivers, assess business impact, and develop sustainable remediation strategies.
• Provides leadership in the identification, prioritization, and resolution of data quality issues, driving cross-functional collaboration, stakeholder alignment, and timely execution of corrective actions.
• Develops automated reporting and monitoring solutions using Python, SQL, and HUE/Oozie workflows to improve efficiency, scalability, and data transparency.
• Influences and partners effectively with business, operations, technology, and data stakeholders to advance remediation efforts, strengthen controls, and improve data quality outcomes.
• Exercises sound judgment in evaluating risks, escalating issues when appropriate, and ensuring that data-related challenges are addressed in a disciplined and transparent manner.

Skills

Python (Pandas, NumPy)

SQL

Data analysis

Data governance

Stakeholder management

Communication

Problem solving

Education

Bachelor's Degree

Tools

PostgreSQL

SQL Server

Oracle

NoSQL databases

HUE/Oozie

Job description

Bank of America is seeking a data management professional within Global Markets Data Management in New York. You will lead data incident triage, translate complex data concepts for diverse stakeholders, and deliver scalable data solutions.

The role emphasizes collaboration across technology, risk, and operations, with Python and SQL as core tools, and an emphasis on data quality and governance for GM data.