Finance Data and Insights Team - Data Domain Architect Lead

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
• Provide subject matter expertise 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
• Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable
• Experience with ThoughtSpot
• AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience
• Hyperion Essbase cube design and administration experience
• 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)