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 risk
Lead critical incident management (war rooms), ensuring rapid resolution and operational stability
Optimize batch processing and implement automation for large-scale data validation and reconciliation
Provide technical leadership and guidance to onshore and offshore teams, including production support
Drive 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 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