Careers at Charles Schwab

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.

What you have

Role Description

Senior Manager, Enterprise Analytics Platforms, provides strategic and operational leadership for the organization's enterprise analytics platforms and services. This role is accountable for the vision, architecture, governance, engineering, support, security, and continuous evolution of business intelligence and analytics technologies, including Power BI, Microsoft Fabric, Tableau, Alteryx, SAP BusinessObjects, and emerging AI-enabled analytics capabilities.

As both a technical and people leader, the Senior Manager (PL) directs engineers, platform administrators, and technology specialists responsible for delivering secure, scalable, highly available, and business-aligned analytics services. The role establishes long-term technology roadmaps, drives platform modernization initiatives, oversees operational excellence programs, and ensures enterprise-wide governance and risk management practices are effectively implemented.

The Senior Manager (PL) partners with enterprise architecture, cybersecurity, infrastructure, data engineering, risk management, compliance to align analytics platform investments with business strategy. Also responsible for enabling self-service analytics, AI-powered capabilities, automation, and cloud transformation initiatives while maintaining operational resiliency, regulatory compliance, and strong governance practices.

Key Responsibilities

• People Leadership
  Build organizational capabilities through coaching, mentoring, workforce planning, and succession management.
• Establish performance objectives and accountability frameworks aligned with organizational goals.
• Foster a culture focused on innovation, operational excellence, collaboration, and continuous learning.
• Platform Engineering & Operations
  Provide oversight for platform architecture, engineering, support, reliability, performance, and scalability.
• Ensure operational excellence through monitoring, observability, automation, and service management best practices.
• Lead large-scale platform transformations, migrations, upgrades, and modernization programs.
• Establish enterprise standards for engineering, operations, support, and platform lifecycle management.
• Governance, Security & Risk Management
• Oversee platform governance frameworks, compliance requirements, and security controls,
• Direct access management, data protection, business continuity, disaster recovery, and operational resiliency programs.
• Ensure governance standards support regulatory, audit, and enterprise risk management requirements.
• Partner with cybersecurity and risk teams to mitigate operational and technology risks

Required Qualifications

• 15+ years of experience in analytics platforms, business intelligence, enterprise technology, platform engineering, infrastructure, or operations management.
• 8+ years of progressive leadership experience managing managers, technical leaders, and large engineering organizations.
• Proven experience leading enterprise-scale analytics platforms including Microsoft Fabric, Power BI, Tableau, Alteryx, SAP BusinessObjects, or comparable technologies.
• Demonstrated success developing and executing technology strategies, platform modernization programs, and large-scale transformation initiatives.
• Extensive experience managing enterprise operations, service delivery, governance, security, and technology risk management functions.
• Strong understanding of cloud platforms, enterprise architecture, infrastructure technologies, and platform engineering practices.
• Experience leading cross-functional programs involving architecture, infrastructure, data engineering, cybersecurity, risk, compliance, and business stakeholders.
• Expertise in IT Service Management (ITSM), operational excellence, incident management, problem management, change management, and service-level governance.
• Experience managing technology budgets, vendor relationships, software licensing, and investment planning activities.
• Exceptional leadership, communication, executive presentation, negotiation, and organizational influence skills.
• Proven ability to drive organizational change and deliver measurable business outcomes through technology transformation initiatives.

Preferred Qualifications

• Deep expertise in Microsoft Fabric, Power BI Premium, Tableau Cloud, Tableau Server, Alteryx Server, Databricks, Snowflake, and enterprise data ecosystems.
• Demonstrated success leading enterprise-scale cloud migrations, platform consolidations, and modernization programs.
• Experience implementing Platform Engineering, Site Reliability Engineering (SRE), and Infrastructure-as-Code (IaC) operating models.
• Strong knowledge of enterprise AI governance frameworks, NIST AI Risk Management Framework (AI RMF), Responsible AI practices, and Human-in-the-Loop governance processes.
• Experience establishing enterprise analytics governance, self-service BI programs, data democratization initiatives, and AI enablement strategies.
• Experience within highly regulated industries such as financial services, banking, insurance, healthcare, or government sectors.
• Demonstrated success driving automation programs that significantly improve operational efficiency, service reliability, and user experience.
• Experience presenting technology strategies, operational reviews, risk assessments, and investment recommendations to executive leadership and governance boards.