Senior Tech Services Manager

Bank of America•Plano, TX

38d•Onsite

About The Position

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! Position Summary: Data Platform Engineering & DevOps Design, implement, and maintain CI/CD pipelines for enterprise data processing and ingestion. Automate build, test, and deployment workflows for Spark, Hive, Kafka, and real‑time jobs. Establish standards ensuring reliability, scalability, and repeatability across environments. Infrastructure Provisioning & Platform Operations Provision and manage Hadoop and distributed compute clusters using Ansible, Mesos, and Marathon. Lead lifecycle management, including upgrades, expansions, and decommissioning. Support modernization initiatives across thousands of nodes and multi‑tenant workloads. Monitoring, Observability & Resiliency Implement observability solutions: Metrics dashboards with Grafana/Prometheus Centralized logs via Elasticsearch Job and platform monitoring with ITRS, Dynatrace, and similar tools Ensure stability, SLA adherence, and rapid incident response for critical pipelines. Containerization & Cloud‑Native Enablement Dockerize ingestion and processing components, including C3 workloads. Enable and operate Spark workloads on Kubernetes. Promote container execution models for scalability and operational efficiency. Workflow Orchestration Design and manage complex workflows and DAGs using Oozie, Autosys, and Marathon. Ensure fault‑tolerant, auditable, and reliable pipeline execution. Define orchestration standards for onboarding new applications and business lines. Data Lake & Platform Engineering Scope Performance Optimization Tune Impala, YARN, and Kudu for multi‑tenant performance and fairness. Optimize Spark executor memory, shuffle behavior, and resource allocation. Configure storage and compute parameters for high‑throughput processing. Data Lake Management Support and optimize data formats on HDFS. Maintain efficient partitioning strategies for Hive, Kudu, and HBase. Enable scalable, governed access for analytics and operational workloads. Security & Compliance Apply and manage fine‑grained access controls using Apache Ranger. Integrate Kerberos and ensure encryption in transit and at rest. Maintain compliance with regulatory, audit, and enterprise standards. Enterprise Leadership & Strategic Responsibilities Partner with senior executives across Markets, Risk, and Banking to align platform strategy. Lead modernization efforts, including Hadoop upgrades and end‑of‑life remediation for 2,000+ nodes. Coordinate resiliency and disaster‑recovery testing for 100+ tenant applications. Drive cross‑business enablement through unified governance, cataloging, and data‑management services. Onboard and integrate AI, data‑modeling, and GenAI platforms (C3, Talend, AskGPS). Provide capacity planning, infrastructure forecasting, and financial guidance for annual investment planning 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.

Requirements

Extensive experience with large‑scale data platforms and distributed systems, including Hadoop, Spark, Hive, Kafka, Impala, YARN, Kudu, and HBase.
Strong background in DevOps and automation, including CI/CD pipelines, Ansible, Mesos, and Marathon.
Hands‑on experience with containerization and orchestration technologies such as Docker and Kubernetes.
Experience implementing enterprise monitoring, observability, and logging solutions.
Deep understanding of data security, access controls, and compliance in regulated environments.
Proven ability to operate independently and influence technology strategy at an enterprise level.
Experience partnering with senior leadership and managing cross‑functional stakeholders.
Strong financial acumen, including capacity forecasting and cost optimization.
Demonstrated success leading complex modernization and transformation initiatives.
Extensive relevant experience in data engineering, platform operations, or distributed systems, including leadership roles in large enterprise environments.

Nice To Haves

Bachelor’s degree in Computer Science, Engineering, or a related field (advanced degree preferred).

Responsibilities

Design, implement, and maintain CI/CD pipelines for enterprise data processing and ingestion.
Automate build, test, and deployment workflows for Spark, Hive, Kafka, and real‑time jobs.
Establish standards ensuring reliability, scalability, and repeatability across environments.
Provision and manage Hadoop and distributed compute clusters using Ansible, Mesos, and Marathon.
Lead lifecycle management, including upgrades, expansions, and decommissioning.
Support modernization initiatives across thousands of nodes and multi‑tenant workloads.
Implement observability solutions: Metrics dashboards with Grafana/Prometheus, Centralized logs via Elasticsearch, Job and platform monitoring with ITRS, Dynatrace, and similar tools.
Ensure stability, SLA adherence, and rapid incident response for critical pipelines.
Dockerize ingestion and processing components, including C3 workloads.
Enable and operate Spark workloads on Kubernetes.
Promote container execution models for scalability and operational efficiency.
Design and manage complex workflows and DAGs using Oozie, Autosys, and Marathon.
Ensure fault‑tolerant, auditable, and reliable pipeline execution.
Define orchestration standards for onboarding new applications and business lines.
Tune Impala, YARN, and Kudu for multi‑tenant performance and fairness.
Optimize Spark executor memory, shuffle behavior, and resource allocation.
Configure storage and compute parameters for high‑throughput processing.
Support and optimize data formats on HDFS.
Maintain efficient partitioning strategies for Hive, Kudu, and HBase.
Enable scalable, governed access for analytics and operational workloads.
Apply and manage fine‑grained access controls using Apache Ranger.
Integrate Kerberos and ensure encryption in transit and at rest.
Maintain compliance with regulatory, audit, and enterprise standards.
Partner with senior executives across Markets, Risk, and Banking to align platform strategy.
Lead modernization efforts, including Hadoop upgrades and end‑of‑life remediation for 2,000+ nodes.
Coordinate resiliency and disaster‑recovery testing for 100+ tenant applications.
Drive cross‑business enablement through unified governance, cataloging, and data‑management services.
Onboard and integrate AI, data‑modeling, and GenAI platforms (C3, Talend, AskGPS).
Provide capacity planning, infrastructure forecasting, and financial guidance for annual investment planning.
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.
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.