Sr Manager, Business Systems Analysis Lead

The Charles Schwab Corporation; Phoenix (AZ); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

401(k) with company match

Paid sabbatical after five years

Tuition reimbursement

Health, dental, vision insurance

Job summary

The Charles Schwab Corporation seeks a senior Data Engineer to design and maintain enterprise data pipelines, models, and governance. You will partner with business leaders and technology teams to enable Power BI reporting, analytics, and AI-enabled insights across the organization.

Join Schwab Technology Services to modernize the data ecosystem, drive executive decision-making, and deliver scalable data solutions with impact across Infrastructure Operations and Finance.

Qualifications

• 7–10+ years of progressive experience in data/analytics or related Technology roles.
• Experience leading enterprise data pipelines and reporting ecosystems.
• Strong ability to translate business needs into scalable data solutions.

Responsibilities

• Design, develop, and maintain enterprise data pipelines and models.
• Partner with stakeholders to enable Power BI reporting and analytics.
• Govern data quality, accessibility, and governance across platforms.
• Drive AI-enabled insights and self-service reporting capabilities.

Skills

Power BI

Tableau

Alteryx

SQL

Data modeling

Data governance

Executive communication

Education

Bachelor's degree in Business, Information Systems, Technology, Analytics, Engineering, or equivalent

Tools

Power BI

Tableau

Alteryx

SQL

Job description

Your Opportunity

Schwab remains committed to providing increased visibility to career growth opportunities and job requirements. This posting announcement is part of increased transparency and while all qualified applicants will be reviewed and considered, this organization has a preferred candidate identified for this role.

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.

This role offers the opportunity to shape the future of data and analytics for one of the most critical organizations within Infrastructure Operations. The successful candidate will partner directly with business leaders, reporting teams, and technology organizations to build scalable data solutions that enable executive decision-making, operational excellence, and regulatory transparency. They will play a key role in modernizing our data ecosystem, improving data accessibility, and accelerating the organization's transition toward advanced analytics and AI-enabled insights. This position provides broad visibility, significant influence, and the chance to solve complex enterprise-scale challenges while driving measurable business outcomes.

What you have

The Data Engineer will design, develop, and maintain enterprise data pipelines, data models, and integration solutions that support Power BI reporting, operational analytics, and strategic decision-making. They will collaborate with business stakeholders, reporting teams, and technology partners to ensure data is accurate, accessible, governed, and scalable across multiple platforms and data sources. The role will lead efforts to improve data quality, automate manual processes, and establish modern data engineering practices that support future growth. Additionally, the individual will help drive innovation by enabling advanced analytics, AI use cases, and self‑service reporting capabilities across the organization.

Leading strategic partnerships across Infrastructure Operations, Technology, Finance, HR, and other enterprise stakeholders to identify business opportunities and deliver scalable technology and data solutions that drive organizational outcomes. Influencing executive decision‑making through a deep understanding of business strategy, operational priorities, and technology capabilities while balancing competing demands across multiple high‑visibility initiatives. Establishing trusted advisor relationships across the Firm and serving as a key liaison between Infrastructure Operations and the broader technology, finance, strategy, and governance communities. Driving adoption of industry‑leading practices, governance frameworks, and operating models that improve decision quality, increase efficiency, and deliver measurable business value. Defining and advancing the reporting, analytics, and business intelligence strategy for Infrastructure Operations, ensuring alignment with organizational priorities and future‑state capabilities. Evaluating enterprise reporting, analytics, and inquiry management capabilities; identifying opportunities for modernization, automation, and process optimization; and influencing investment decisions. Designing scalable governance processes that balance business agility, operational effectiveness, regulatory requirements, and risk management objectives. Leveraging advanced analytics techniques to uncover strategic insights, identify emerging trends, and enable data‑driven decision making across the organization. Establishing enterprise measurement frameworks that improve transparency, accountability, and performance management across programs, portfolios, and operational functions. Leading cross‑functional efforts to design and implement scalable business processes that increase organizational efficiency and enable long‑term growth. Driving continuous improvement across reporting, analytics, portfolio management, and strategic planning disciplines while championing innovation and modernization opportunities. Providing thought leadership and guidance on data strategy, reporting architecture, business intelligence capabilities, and enterprise analytics best practices. Mentoring team members and helping elevate analytical, consulting, and business systems capabilities across the broader organization.

What You Have: Bachelor's degree in Business, Information Systems, Technology, Analytics, Engineering, or equivalent practical experience. 7-10+ years of progressive experience in business systems analysis, business intelligence, analytics, technology strategy, program management, or related disciplines, preferably within financial services or large‑scale technology organizations. Demonstrated experience leading complex, cross‑functional initiatives with enterprise‑level visibility and measurable business impact. Exceptional communication, executive presence, and stakeholder management skills with the ability to influence outcomes across all organizational levels. Advanced analytical and strategic problem‑solving capabilities, including the ability to synthesize complex information into actionable business recommendations. Proven ability to operate independently in ambiguous environments while simultaneously managing multiple high‑priority initiatives and organizational commitments. Experience translating business strategy into scalable reporting, analytics, process improvement, and technology solutions. Advanced experience designing, developing, governing, and optimizing reporting ecosystems, dashboards, analytics platforms, and self‑service business intelligence capabilities. Deep expertise with Power BI, Tableau, Alteryx, SQL, or similar platforms, including data modeling, visualization strategy, performance optimization, and reporting governance. Experience establishing reporting standards, data governance practices, KPI frameworks, and executive performance measurement methodologies. Demonstrated ability to synthesize complex data from multiple sources into strategic insights that influence organizational direction and investment decisions. Acts as a recognized subject matter expert and trusted advisor within the business area while independently driving large‑scale strategic initiatives. Influences business strategy through customer, operational, financial, and organizational insights that support enterprise decision‑making. Builds organizational capability by mentoring peers, sharing expertise, and fostering a culture of continuous learning and innovation. Applies advanced analytical and consulting techniques to address complex business challenges and identify opportunities for transformation. Enables executive stakeholders to align business decisions with strategic objectives, operational priorities, and measurable outcomes. Anticipates emerging opportunities, risks, and industry trends while influencing planning and investment decisions to position the organization for long‑term success. Champions innovation, automation, and modernization initiatives that improve organizational effectiveness and drive sustainable business value. Influences functional and enterprise‑level decisions through data‑driven recommendations, business case development, and thought leadership. Communicates with clarity, confidence, and credibility in both executive and technical settings, tailoring messages appropriately for diverse audiences. Develops and presents compelling business cases, strategic recommendations, executive briefings, and governance materials that drive action and alignment. Establishes performance‑driven objectives and measurement frameworks across teams and functions and promotes a culture of accountability and continuous improvement. Leads highly matrixed, cross‑functional initiatives by leveraging diverse expertise, building consensus, and driving execution toward shared organizational goals. Produces executive‑quality written communications, business documentation, strategic presentations, and analytical deliverables that influence decision‑making at senior leadership levels.

• Adaptability - Ability to function effectively when under pressure and maintain self‑control in the face of hostility or provocation

• Analytical Thinking - Approaching a problem by using a logical, systematic, sequential approach

• Data Management - Strategizing, optimizing, and governing data assets through comprehensive management practices

• Data Engineering Fundamentals – Strategically managing and operationalizing data pipelines and storage systems for data mining, analytics, and machine learning, prioritizing compliance, security, and scalability

• Data Modeling – Creating, managing, and communicating data requirements and assets through models and diagrams, supporting data operations and governance

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance