Senior Technology Manager - Data Performance Automation Services

This role requires a strong blend of technical leadership, hands‑on engineering expertise, platform performance knowledge, and cross‑functional collaboration, with accountability for delivery, quality, and scalability.

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.

Managerial Responsibilities:
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
• Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
• Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
• Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
• People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
• Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

Required Qualifications:

• 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.

Desired Qualifications:

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

Skills:

• Influence
• Risk Management
• Solution Design
• Stakeholder Management
• Technical Strategy Development
• Analytical Thinking
• Application Development
• Collaboration
• Result Orientation
• Solution Delivery Process
• Agile Practices
• Architecture
• Automation
• Data Management
• DevOps Practices

Shift:

1st shift (United States of America)

Hours Per Week:

40