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.We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
The Client Data Technologies is the custodian of client information. We help to provide incredible experiences to customers through building innovative and reliable solutions.
As a part of the Segmentation team, you will partner with our Business stakeholders and Development teams to design and develop segmentation solutions for various stakeholders to use for analytics and reporting. You will manage a team that will design, development and implement enterprise data integration solutions with opportunities to grow in responsibility, work on exciting and challenging projects, train on new technologies and lead other Developers to set the future of the Data Warehouse.
We are looking for a Senior Manager with deep experience in data technology , a passion for data solutions, and a robust curiosity for emerging cloud development patterns.
You have strong team leadership skills; influence without authority; make and propose needed changes to bring more impact; and possess the ability to hire, guide, coach, and grow exceptional technology teams. You are a visible leader who thrives on developing and motivating future technology leaders. You foster an accountable culture and thirst for technology innovation. Successful leaders at Charles Schwab communicate well with teams and leaders of the organization, have active listening skills, ask questions, and provide good development feedback. You will build strong and highly functional partnerships with the DaRT leadership team and delivery teams. Our ideal candidate is a servant leader who can lead multiple parallel initiatives – big and small – with attention to detail, manages outcomes, and has experience managing resources across disparate locations including offshore.
What you have
Knowledge
• Specialized expertise in function and working knowledge of related functions and sub-functions
• Applies understanding of the industry and how work contributes to the achievement of objectives
• Skills
• Analytical: Guides others as a functional subject matter expert and uses deep analytical experience to propose best path forward
• Demonstrates an ability to build consensus in the role of team leader and/or team member
Business Acumen
• Based on extensive work and/or industry experience provides guidance on process and procedure best practices that result in functional and cross-functional efficiency
• Participates in code review and guides junior team members to provide better code quality.
• Understands full workflow, works with up and down stream partners to ensure end to end quality results.
• Documents adequately for future reference and mentor Junior team members.
• Implements and enhance the testing automation framework. Able to follow and evolve testing architectural patterns, standards, and best practices.
AI-Assisted Workflows
• Create clear prompts, task definitions, and acceptance criteria to effectively direct AI agents
• Apply spec-driven development practices
• Design and develop AI agents, including defining agent goals, tool use, memory, and orchestration logic to automate complex engineering tasks
• Review and validate AI-generated code for correctness, quality, security, and maintainability
• Apply judgment to accept, modify, or reject AI suggestions based on context and standards
Required qualifications:
• Demonstrated experience as an SDET (> 7 years)
• Must have technology domain experience gained of CAT/O2 for at least 2 years
• Hands on experience with Bit Bucket/Bamboo, Github, Postgres/Yugabyte/DB2 for atleast 2 years
• Project management with ability to drive projects to successful completion; ability to anticipate project risks/issues and propose creative solutions; solid experience and understanding of Agile Methods
• Prior experience interfacing with various partners, including vendors, offshore development teams, and internal groups
• Strong interpersonal, analytical, problem-solving, influencing, prioritization, decision- making and conflict resolution skills
• Excellent written/verbal communication skills
• Demonstrate data curiosity and business understanding
• Demonstrated interest in learning about emerging data platforms and Cloud Data technologies
Preferred qualifications:
• Experience in Data Analytics and/or Gen AI solution for quality assurance