VP/Director, Global Markets Data Incident Management

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

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role‑specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

Global Markets Data Management 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.

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:

• 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/Requirements:

• Bachelor's Degree
• 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

Pay Transparency details

US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)

Pay and benefits information

Pay range

$110,000.00 - $250,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.