Sr. Manager, Software Development & Engineering

Your Opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning.

The Reference Data Platform (RDP) requires a Senior Manager, Software Development & Engineering Senior role to ensure continuity and stability of the existing platform while supporting the transition to a distributed Postgres architecture. This role is critical to mitigating operational risk by bridging legacy mainframe and modern systems, ensuring business rule integrity during migration. This senior technical resource will play a pivotal role in modernization efforts by advancing automation using AI and large-scale validation capabilities, leading critical incident management, and providing technical leadership across onshore and offshore teams to sustain platform stability and drive efficient operations.

Ensure continuity and stability of the existing platform while supporting the transition to a distributed

Postgres architecture Bridge legacy mainframe and modern systems, ensuring accurate carryover of business rules

Develop and drive data validation strategies between DB2 and Postgres to mitigate migration riskLead critical incident management (war rooms), ensuring rapid resolution and operational stabilityOptimize batch processing and implement automation for large-scale data validation and reconciliationProvide technical leadership and guidance to onshore and offshore teams, including production supportDrive operational efficiency and support ongoing modernization initiatives

What You Have

Required Qualifications

Designs advanced support processes and mentors peers to optimize functionality and security Establishes robust processes to create, secure, and monitor data pipelines and stores Designs efficient processes to resolve incidents and minimize downtime Develops QA processes that confirm compliance and ensure operational reliability Streamlines requirement analysis and validation for enhanced efficiency Designs security processes to enhance security and regulatory compliance Enhances processes that merge predictive and adaptive software design techniques Designs efficient processes that ensure quality and resolve issues in software components Optimizes processes for secure, compliant, and reliable software releases Optimizes design processes by integrating predictive or adaptive methods with cloud principles

Experience with Schwab technology domain gained as a current or recent contractor or employee

Preferred Qualifications

Synthesizes complex data, manages resources, and develops strategic insights Establishes communication processes for smooth information flow with others involved in a project or effort Provides thought leadership in the business area and independently drives strategic initiatives Enables stakeholders to align decisions with business goals Influences best practices to plan to prepare for opportunities or challenges Champions innovative solutions to improve efficiency Influences decisions that drive functional success and operational improvements Verbally articulates ideas impactfully, fostering open dialogue Inspires confidence with proven expertise, integrity, and accurate communication Presents compelling arguments to inspire action Sets performance-driven goals across groups and drives continuous improvement Leverages diverse expertise to develop strategies in cross-functional projects or programs Sets and upholds high-quality standards while empowering teams to strive for excellence in their work Creates clear, persuasive, and professional written documents that meet business standards

Job Sub-Family Specific Competencies Analytical Thinking - Approaching a problem by using a logical, systematic, sequential approach Data Engineering Fundamentals - Strategically managing and operationalizing data pipelines and storage systems for data mining, analytics, and machine learning, prioritizing compliance, security, and scalability Results Orientation - Focusing on the desired end result of one's own or one's units work Setting challenging goals, focusing effort on the goals, and meeting or exceeding them Software Design and Specifications – Developing software solutions that meet requirements using established design principles and standards, employing predictive or adaptive design techniques, including plan-driven or iterative/agile approaches Software Development – Implementing standards, processes, and methods to create, test, and verify software components, ensuring reliability and resolving operational problems and bugs Software Release and Deployment – Managing the deployment of software updates while ensuring compliance with safety, security, and quality standards