Manager, IT Program Management - BDSE

Your opportunity

At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.

Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.

Key Responsibilities

• Lead Agile and SAFe delivery for multiple software engineering teams, ensuring adoption of best practices in CI/CD, automated testing, and code quality.
• Organize and facilitate Scrum and PI ceremonies (Sprint Planning, Stand-ups, Reviews, Retrospectives, PI Planning) to drive technical alignment and delivery of scalable, maintainable solutions.
• Proactively identify and resolve technical blockers, manage cross-team dependencies, and optimize workflows for high-value, high-quality output.
• Track and analyze Agile and engineering metrics (velocity, burndown, cycle time, deployment frequency, defect rates) to drive continuous technical improvement.
• Coach teams through Agile maturity, fostering DevOps culture, self-organization, and technical excellence.
• Mentor Product Owners and stakeholders in technical backlog refinement, prioritization, and architectural alignment.
• Collaborate with engineering, architecture, and product teams to translate roadmaps into actionable, technically sound sprint goals and deliverables.
• Communicate technical accomplishments, risks, and blockers, ensuring transparency and alignment with business objectives.
• Lead retrospectives and technical improvement initiatives, applying advanced techniques (AI agents, automation, infrastructure as code, cloud-native tools) to solve complex engineering challenges.
• Promote responsible and efficient use of AI for metrics, dashboards, code generation, story writing, estimation, capacity planning, and workflow automation.
• Champion a culture of experimentation, rapid prototyping, and scalable technical solutions, especially for AI-driven and cloud-based development.

What you have

Required Qualifications

• Bachelors’ degree in Computer Engineering OR related degree and/or practical experience
• 5+ years of technical product or program management experience, and simultaneous leading at least two Agile Engineering Teams
• 2+ Years of Software Development Experience.
• Experience with geographically distributed teams and remote collaboration.
• Excellent communication, facilitation, and project coordination skills
• Understanding of Enterprise Application architecture, System Design concepts
• Ability to lead cross-platform engineering teams supporting the software development life cycle
• Passion for Agile methodologies and continuous improvement.
• Proficiency with Agile tools (Jira, Confluence, MS Teams, Rally).
• AI & Automation Literacy: Familiarity with leveraging AI-driven tools and automation for insights and process optimization.
• Exposure/Experience with leveraging AI for Metrics, dashboards, story writing, sizing, capacity planning/forecast.
• Fostering teams with efficient and responsible use of AI to gain productivity and automation.
• Exposure to DevOps, CI/CD pipelines, automated testing, and release orchestration.

Preferred Qualifications

• Scrum, Agile, or delivery certifications (CSM, PSM, SAFe, PMI‑ACP, or equivalent)
• Experience leading AI or data-driven engineering teams, including GenAI, ML, or intelligent automation initiatives
• Demonstrated success driving experimentation-led delivery, including proofs of concept, pilots, and scaling validated solutions
• Strong understanding of modern software architectures (microservices, APIs, event-driven systems, cloud-native platforms)
• Experience balancing experimentation with enterprise delivery rigor (controls, risk, compliance, production readiness)
• Familiarity with AI-assisted development practices (e.g., Copilot-style tools, prompt iteration, test generation, documentation automation)
• Experience working in financial services or other highly regulated environments
• Proven ability to influence without authority and align stakeholders across product, engineering, architecture, and operations
• Track record of coaching teams and leaders to improve Agile maturity, delivery predictability, and technical excellence
• Experience leading legacy modernization initiatives, including refactoring, re‑platforming, or incremental replacement of legacy systems
• Experience leading delivery involving vendor or third‑party platforms, including SaaS, COTS, or managed service solutions.