This is designed for internal use only, and is designed for one person.
This position is part of a hybrid work schedule that allows for 3 days in the office per week and, if desired, 2 days remote.
Level: Senior Manager • individual contributor / hands-on, with one interim direct report
Reports to: Vice President, Enterprise Data & Technology- TO BE HIRED
Interim Direct Report- Data Operations Analyst
Data Engineering & Development
- Design, develop, and maintain SSIS packages and ETL/ELT pipelines to move and transform data across the organization.
- Own the performance, reliability, and maintainability of the company’s data pipelines.
- Follow and document engineering standards and best practices for how data is built and moved.
Enterprise Data Architecture — Marts, Models & Warehouse Path
- Own and optimize the existing data marts, including the in-flight production data mart through go-live.
- Design and evolve the data models and structures that underpin the company’s reporting and analytics.
- Document the current-state architecture, the limits of mart-based reporting, and the options for where the company’s data layer should go next.
- Lead the technical evaluation of where the data layer should go from here — continued mart refinement, consolidation into a unified warehouse, or a hybrid path — producing written recommendations with tradeoffs on cost, time, scalability, and vendor exposure.
- Once a direction is chosen, lead the technical design and build to execute it end-to-end.
- Partner with the VP of Enterprise Data & Technology (once hired) to translate company data strategy into a buildable technical roadmap; until then, strategic architecture decisions are made by written recommendation with COO sign-off.
Analytics & Business Intelligence
- Build advanced analytics and self-service reporting that answer recurring, high-value business questions and let business users answer their own questions without engineering involvement.
- Design, build, or advise team members on dashboards and data visualizations that clearly surface key metrics for operational and executive audiences.
- Partner with business stakeholders to translate ambiguous questions into well-defined analytics deliverables and ensure that insights are adopted and acted on.
Technical Execution & Management
- Directly manage the Data Operations Analyst, including goal-setting, day-to-day direction, performance feedback, and development.
- Uphold data-quality standards for the datasets you and the analyst build and validate, and review the analyst’s testing and validation.
- Serve as a hands-on technical resource for the broader team.