​​Senior Manager, Data Engineering Lead (PL)

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

As a People Leader within the Analytical Data Platform Engineering (ADPE) organization, you will lead and grow two complementary engineering teams within Schwab Data India: the Data Tools team, which builds and maintains full-stack automation tools and applications that streamline data engineering workflows for Schwab’s hundreds of ETL developers; and the Control-M team, which designs, develops and supports mainframe and distributed batch scheduling across an enterprise environment that demands highly secure and reliable batch processing. You will be accountable for the people leadership, technical direction, delivery, and operational excellence of both disciplines - partnering closely with Business stakeholders, Data Engineering teams, Production Control, and the U.S.-based Data Tools and Control-M teams.

Key Responsibilities

People Leadership & Team Development

• Lead, coach and grow two engineering teams - Data Tools (Python/Angular full-stack developers) and Control-M (batch scheduling developers) - providing technical guidance and career development support to each.
• Build skills across both teams through cross-training and mentoring, treating every interaction as an opportunity to learn or teach.
• Own hiring, onboarding, performance management, and retention; participate in interviews and technical assessments for both Data Tools and Control-M roles.
• Foster a collaborative, inclusive, high-performance environment aligned with Schwab’s values and OneSchwab/OneGCC culture.
• Balance and prioritize capacity across both teams, ensuring the right skills are applied to the right work at the right time.

Technical Leadership & Delivery

• Guide the design, development, and delivery of full-stack web applications (Python and Angular/React) that automate and streamline data engineering workflows.
• Oversee the design, development, and support of Control-M mainframe and distributed batch scheduling solutions across multiple applications, ensuring highly secure and reliable batch processing.
• Participate in and drive architecture discussions and technical solution design across both the application and scheduling stacks.
• Ensure engineering excellence through code reviews, unit testing, coding standards, and clear technical documentation, design specs, and solution diagrams.
• Own end-to-end delivery of sprint and project commitments across both teams, ensuring quality, timeliness, and alignment with Schwab Data standards.
• Champion automation everywhere - both in application development and in Control-M batch operations - and drive continuous process improvement.
• Leverage AI and Generative AI technologies to accelerate development, automate repetitive workflows, and improve observability and efficiency across both portfolios.

Stakeholder Engagement & Collaboration

• Partner with Business stakeholders and Data Engineering teams to understand requirements and translate business needs into implementable technical solutions.
• Work closely with application support teams and Production Control to resolve business and service-impacting problems, escalating with the appropriate sense of urgency.
• Create and deliver presentations and demos to leadership, project sponsors, and technical peers.
• Coordinate with the U.S.-based Data Tools and Control-M teams for alignment, knowledge sharing, and consistent delivery quality.
• Support project planning and provide accurate effort estimations across both teams.

Operational Excellence

• Implement scalable, compliant delivery frameworks suited to a regulated financial services environment.
• Ensure adherence to Schwab’s privacy, security, and regulatory standards across all deliverables, applications, and batch schedules.
• Drive retrospectives, service reviews, and process automation that produce measurable quality and efficiency gains.
• Support CI/CD pipeline maintenance, deployment processes, and environment management.

Required Experience

• Minimum 15+ years of hands-on technical experience across software development and/or enterprise batch scheduling.
• 5+ years of experience leading, mentoring, or managing engineering teams (people leadership).
• Must have a minimum of 3+ recent experience in GCP native services and CI/CD practices.
• Strong understanding of full-stack application development with Python and Angular/React, sufficient to lead and review the Data Tools team’s work.
• Strong understanding of Control-M administration and development, including mainframe and distributed batch scheduling, sufficient to lead and review the Control-M team’s work.
• Must have experience in AI assisted development
• Proficiency in SQL and a solid understanding of relational database infrastructure.
• Practical experience working with distributed/offshore teams and agile delivery methodologies.
• Experience in data engineering, ETL processes, or data platforms is strongly preferred.

Preferred Experience:

• A proven track record of automating Control-M tasks and application/DevOps workflows.
• Data Warehouse and ETL knowledge or experience.
• Experience managing environments - certificates, server upgrades, high availability/disaster recovery.

Skills and Attributes

• Strong problem-solving and analytical thinking with the ability to provide creative solutions.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences, including senior leadership.
• Excellent written and verbal communication skills and the ability to build strong stakeholder relationships.
• Execution focus: proven ability to operationalize strategy and deliver high-impact outcomes.
• Talent builder: experienced in coaching and developing high-performing teams across disciplines.
• Strategic mindset: ability to translate team goals into actionable delivery plans and measurable results.
• Excellent at gauging customer impact and escalating with the appropriate sense of urgency in a fast-paced environment.