Do you have a passion to transform raw data into actionable insights, and a demonstrated history of learning and implementing new technologies? 

As a Data Domain Architect Lead, within the Finance Data and Insights Team, you will play a key role in delivering monthly internal, external, and regulatory financial results for our Wealth Management line of business.  

Job Responsibilities:

Contribute to the transformation and modernization of our data environment to serve the analytical and reporting needs of the Wealth Management Finance OrganizationIdentify hidden problems and patterns in data proactively and use those insights to drive process improvements Participate in intelligence solution requirements gathering sessions with varying levels of leadership, complete detailed project planning utilizing JIRA to record planned project execution stepsPartner with the Technology Team to design and deliver data domains into the Finance Data Mart that brings together essential data categories to enable the Finance function to support their analytical and reporting needsConduct detailed reconciliation of results between data systems and business intelligence toolsWork with IT to migrate to production the developed solutions and as an SME and escalation point for the deployed solutionsWork closely with end-users and IT during the UAT phase of the project and validate that production results comply with business requirements and expected results.

Required qualifications, capabilities and skills 

Bachelor’s degree in MIS, Computer Science, Finance, Accounting, or other related area with relevant work experience; 7+ years of experience in data analytics, architecture, or financial reporting systemsExperience with business intelligence analytics and data wrangling tools such as Alteryx, SAS, or PythonExperience with Hive, Spark SQL, Impala or other big-data query toolsExperience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analysesExperience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the dataStrong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverableExperience eliminating user tools, saving time, and increasing ability to generate insights through data, dashboards, and developing new capabilities

Preferred qualifications, capabilities and skills 

Experience with ThoughtSpotAWS, Databricks, Snowflake, or other Cloud Data Warehouse experienceHyperion Essbase cube design and administration experience