Director, Retail Digital Analytics (PL)

by leveraging data captured across engagement channels and journeys to understand how clients interact with Schwab's digital footprint.

• Partner with stakeholders to

including calculation methods and reporting standards, to track program health, adoption, outcomes, and business impact.

• Oversee the design and delivery of

of structured and unstructured data to identify key themes, trends, and anomalies that inform strategic and operational decisions.

• Guide the development of

, ensuring accuracy, consistency, and alignment with enterprise data standards.

• Collaborate with data engineering, governance, and analytics peers to deliver

that integrate across teams and systems.

• Identify

, with the ability to build a highly engaged team and foster data fluency in a fast-paced environment.

• Proven ability to

, influencing across functions, teams, and levels.

• Advanced knowledge of

and generate insights using analytical, statistical, and visualization tools.

• Experience overseeing the development of

using business intelligence tools (e.g., Tableau, Power BI).

• Familiarity with

, with the ability to interpret test results and translate them into decisions.

• Ability to define

and measure business results, including incremental impact and lift.

• Excellent written and verbal communication skills, with the ability to explain sophisticated messages and trade-offs, tailor communications to specific audiences, and present effectively to executive audiences.
• Excellent problem-solving skills and the ability to generate insights through both quantitative and qualitative analysis, matching analytic techniques to business problems.
• Ability to manage multiple priorities in a dynamic, cross-functional environment while maintaining strong partner trust.

Preferred Qualifications

•

and digital client experience, including familiarity with web/clickstream and digital engagement platforms (e.g., Adobe Analytics / Adobe Experience Platform, Google Analytics).

• Experience

(e.g., streamlining recurring workflows and strengthening the speed, scale, and quality of insights).

• Experience supporting

within financial services.

• Familiarity with cloud data platforms or enterprise data environments (e.g., BigQuery, Oracle).
• Experience partnering with product, technology, or data engineering teams in a matrixed organization.
• Bachelor's degree in statistics, data science, mathematics, economics, computer science, business analytics, or a related field, or equivalent practical experience.
• Personally and professionally aligned with Schwab's vision and values, with a deep interest in financial services.

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