Finance Data and Insights Team - Data Domain Architect Lead

About the role

The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of Financial data and reporting across Consumer and Community Banking (CCB). Our vision is to improve the lives of our people and increase value to the firm by leveraging the power of our data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future.

Job Responsibilities

• Contribute to the transformation and modernization of our data environment to serve the analytical and reporting needs of the Risk Weighted Assets Actuals reporting function
• Execute and take ownership of operational processes with an emphasis on accuracy and timeliness of meeting deliverables on prescribed timetables / calendars
• Identify hidden problems and patterns in data proactively and use those insights to drive process improvements
• Motivate and coach a highly skilled cross functional team to ensure optimal performance and consistent delivery against priorities and timelines
• Partner with the Technology Team to design and deliver data products that brings together essential data categories to enable the Finance function to support their analytical and reporting needs
• Work with IT to migrate to production the developed solutions and as an SME/escalation point for the deployed solutions
• Work closely with end-users/IT during the UAT phase of the project and validate that production results comply with business requirements and expected results
• Provide a high level of responsiveness to ad-hoc requests, "what-if" scenario data analytics, and regulatory inquiries
• Become a subject matter expert in our financial reporting platforms and support team members in becoming more proficient themselves

Required Qualifications, Capabilities, And Skills

• Bachelor's degree in MIS, Computer Science, Finance, Accounting, or other related area with relevant work experience
• 5+ years of experience in data analytics, architecture, or financial reporting systems
• Experience with business intelligence analytics and data wrangling tools such as Alteryx, SAS, or Python
• Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
• Data Quality Management: Understanding of strategies and tools for data profiling, cleansing, and validation to maintain high data quality
• Domain Knowledge: Deep understanding of the specific industry or business domain in which the organization operates
• Demonstrated experience delivering process improvement or automation
• Highly motivated, self-directed, curious to learn new technologies, strong team player
• Strong analytical and problem-solving ability; Excellent written and verbal communication skills
• Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
• Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable

Preferred Qualifications Capabilities, And Skills

• Experience with Hive, Spark SQL, Impala or other big-data query tools
• Experience with modern gen AI tools such as ChatGPT, Genie, and/or Spotter
• Experience with AWS, Databricks, Snowflake, or other Cloud Data Warehouse
• Experience with ThoughtSpot
• Experience with Hyperion Essbase cube design and administration
• Experience eliminating user tools, saving time, and increasing ability to generate insights through data, dashboards, and developing new capabilities
• Proficient user of the Microsoft Office Suite (primarily Excel)