Senior Manager, Enterprise Data

Nexus Energy Partners•Tulsa, OK

1d•Hybrid

About The Position

This role is for a Senior Manager of Enterprise Data, designed for internal use and for one individual. The position is part of a hybrid work schedule, allowing for 3 days in the office per week and 2 days remote if desired. The role is an individual contributor/hands-on position with one interim direct report, the Data Operations Analyst. The responsibilities span Data Engineering & Development, Enterprise Data Architecture, Analytics & Business Intelligence, and Technical Execution & Management.

Requirements

Individual contributor / hands-on role
Experience with SSIS packages and ETL/ELT pipelines
Experience owning the performance, reliability, and maintainability of data pipelines
Experience following and documenting engineering standards and best practices
Experience owning and optimizing data marts
Experience designing and evolving data models and structures
Experience documenting current-state architecture and data layer options
Experience leading technical evaluations for data layer direction
Experience leading technical design and build for data layer execution
Experience partnering with stakeholders to translate strategy into technical roadmaps
Experience building advanced analytics and self-service reporting
Experience designing, building, or advising on dashboards and data visualizations
Experience partnering with business stakeholders to translate ambiguous questions into analytics deliverables
Experience managing direct reports, including goal-setting, direction, feedback, and development
Experience upholding data-quality standards
Experience reviewing testing and validation

Responsibilities

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.
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.
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.
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.