Manager, Data
CurrentPerformance management, coaching, interviewing, hiring, scrum master, sprint prioritization, backlog management, quarterly and yearly planning, project requirements defining and doc creation, technical document creation and approval, project management, define data engineering expectations, define technical visions, define OKRs and KPis, data quality, liaison with the business TOOLS ➜ Snowflake, Python, GitLab, DBT, Airflow, Montecarlo, Great Expectations, Attlassian Suite◆ CONSISTENTLY GUIDE LEAD ENGINEERS TO SUCCESS IN THEIR PROJECTS by partnering with business leaders to derive clear, written requirements docs and identifying persons and roles for the project. This enables me to set development lead expectations for the engineer(s) in creating technical design docs featuring the clear approach, development plans featuring tasks to be done and a calculated overall ETA, communications plans for the projects, which sets engineers up for success throughout the project minimizing management oversight need. (i.e. Relay data, Legacy DW Deprecation, Member Summary, Product Summary, Data Quality Process and Mitigation, Month End Data, etc.)◆ LED ADVANCEMENTS IN OPERATIONAL EXCELLENCE by creating a framework to guide and motivate engineers to continually iterate on processes and infrastructure through creating a vision and strategy docs to flush out ideas, approaches, and gain buy in for the development work. Additionally setting clear on call expectations, alerting policies, as well as deriving support levels and guides.◆ ENABLED SOX COMPLIANCE for key data warehouse data used for critical and external financial use cases. Required defining and scoping the project, calculating needed resources, pitching the need for extra resources due to timing, and then hiring contractors, and managing them through a successful project completion.◆ IMPLEMENTED PII TAGGING & CCPA COMPLIANCE within the new EDW as a part of regulatory compliance requirements.