Senior Technology Manager – Data & Analytics for Front Office Trading, Risk and Finance

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

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

Job Description:
This job is responsible for building and leading a team to deliver technology products and services that meet business outcomes. Key responsibilities include developing a technology strategy, ensuring technology solutions comply with applicable standards, promoting design, engineering, and organizational practices, and advocating and advancing modern, Agile solution delivery practices. Job expectations may include coaching, mentoring, providing feedback and hands on career development, identifying emerging talent, fostering leadership skills, and managing stakeholders.

Position Summary:

This role is for a Senior Technology Manager responsible for defining and executing the enterprise data strategy in FICC across multiple asset classes including Mortgages, Municipals, Credit, and Rates, covering global regions across U.S., Canada, and EMEA. The successful candidate will have 15+ years of experience in hands-on FICC products, data management, architecture, and analytics development, and will lead global teams to deliver high-performance, scalable data platforms. The role requires engagement with senior business stakeholders and technology leadership to create a vision and roadmap for data architecture, warehousing, and analytics platforms that meet front office, risk, finance, and regulatory requirements. The candidate will drive modernization of legacy platforms, implement best practices in data governance and quality, and ensure compliance with enterprise and regulatory standards. This position requires excellent communication, collaboration, and people management skills, along with the ability to manage multiple competing priorities across business-as-usual and strategic initiatives. The successful candidate will balance traditional relational database technologies with emerging Big Data and NoSQL solutions to optimize performance and scalability for diverse business needs. In addition, the role demands strong expertise in data mining techniques to uncover actionable insights and advanced data architecture skills to design and implement robust, scalable data ecosystems.

Responsibilities:

• Builds and manages teams by performing financial activities to inform workforce strategy and hiring practices, setting and tracking maturity and quality objectives, and training employees/teams to address feedback and achieve quality and performance objectives

• Facilitates performance and career development of employees/teams through performance reviews, coaching, and creating development plans that are needed to build competencies and skills

• Manages solution delivery and application performance in production (app health, resiliency, performance, security, enterprise data management standards, audit exams and reviews), ensuring all relevant risk, financial, and compliance policies are met

• Manages relationships with business and technology partners and leads and creates followership in Communities of Practice in the organization

• Contributes to the technology strategy for their technical domain

• Creates an inclusive and healthy working environment and helps to resolve organizational impediments/blockers

• Ensures that execution is aligned with product strategy by working with product management and other stakeholders

• Create and communicate the vision and roadmap for enterprise data strategy across multiple asset classes (Mortgages, Munis, Equities, Credit, Rates) and regions (US, Canada, EMEA).

• Define strategic direction for data warehousing, analytics, and reporting platforms to meet front office, risk, finance, and regulatory requirements.

• Manage multiple streams in data management, analytics, data migration, trade capture, and reference data.

• Support technology trans