Senior Technology Manager - Data Performance Automation Services

Bank of America•Charlotte, NC

1d•Onsite

About The Position

At Bank of America, the Senior Technology Manager is responsible for building and leading a team to deliver technology products and services that meet business outcomes. This includes developing a technology strategy, ensuring solutions comply with standards, promoting design, engineering, and Agile delivery practices, and providing coaching, mentoring, and career development. This role is a key leader within the Data Performance Automation Services group in the PECM organization, overseeing all development efforts for the distributed computing and data analytics platform ecosystem. The Senior Manager will drive strategy, architecture, development, testing, and implementation across Hadoop-based platforms and associated automation and performance services, requiring a strong blend of technical leadership, hands-on engineering expertise, platform performance knowledge, and cross-functional collaboration, with accountability for delivery, quality, and scalability. Bank of America is committed to an inclusive, in-office culture that supports teammates' physical, emotional, and financial wellness, and offers opportunities for career growth and impact.

Requirements

Strong hands on development experience in one of the following languages; C++, Java, Scala, Python
Must have experience in Shell scripting
Expertise in data management and querying using SQL, PL/SQL, and Python
Experience with machine learning frameworks, i.e. (TensorFlow, Keras, PyTorch)
Experience with ML and NLP libraries such scikit learn, spaCy
Excellent written, verbal, and presentation skills
Must have experience managing and leading a team of 8+ individuals

Nice To Haves

Deep experience with Big Data technologies
Experience implementing and operating Enterprise Data platforms, such as AWS, Azure, GCP

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
Lead all development initiatives across Hadoop‑based platforms, including Cloudera Data Platform (CDP), Pepper data and other Enterprise data platforms
Own development for Enterprise Data platform, Platform Benchmark Services, Performance onboarding & Provisioning Automation, and Storage/Compute Separation initiatives
Design and develop technical architectures enabling large‑scale Data Analytics Platform stacks, both on-prem and cloud, following industry best practices
Lead and support CI/CD implementations, with hands‑on experience using Jenkins and related pipelines
Define and develop standards and methodologies for platform benchmarking, performance testing, evaluation, data security, and data privacy
Design best practices and review processes to ensure consistency across development teams
Define the Test Management Strategy, partnering with Architects, System Administrators, and Release Train Engineers to ensure platform availability and readiness
Ensure ongoing test data relevance by identifying and resolving production and application development challenges
Calculate optimal data sets for integrated testing, and evaluate, integrate, refresh, and manage environments
Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals
Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement
Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions
Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues
Provides inspection, coaching and feedback to motivate, differentiate and improve performance
Actively manages expenses and budgets in alignment with objectives, making sound financial decisions
Assesses talent and builds bench strength for roles across the organization
Delivers results by effectively prioritizing, inspecting and appropriately delegating team work