Remote Enterprise Data & Analytics Leader

Ultipro

Houston (TX)

Remote

USD 120,000 - 150,000

Full time

12 hours ago

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Job summary

RESA Power is seeking an IT Data Manager to lead the enterprise data, integration, and BI capabilities. You will own data architecture, pipelines, governance of Power BI, data quality, and analytics solutions that provide reliable information to business leaders.

You will partner with Finance, HR, Sales, Operations, and Marketing to translate requirements into scalable data and reporting solutions. You will provide technical direction to data engineers and BI developers, establishing standards

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Science, Information Systems, or related field, or equivalent professional experience.
8+ years of experience in data engineering, business intelligence, analytics, application development, or related technology roles.
Strong experience with SQL, enterprise data integration, ETL/ELT processes, and data modeling.
Experience developing and supporting APIs and automated data pipelines.
Strong experience with Power BI or comparable enterprise BI platforms.
Experience with cloud-based data and analytics technologies.
Strong understanding of data governance, quality, security, and reporting practices.
Demonstrated ability to translate business requirements into scalable technical solutions.

Responsibilities

Lead the strategy, architecture, and continuous improvement of the enterprise data and analytics environment.
Own governance of the Power BI environment, including workspaces, datasets, reports, standards, ownership, security, and lifecycle management.
Design and oversee data pipelines and integrations connecting enterprise applications, APIs, databases, and cloud data platforms.
Establish standards for data quality, validation, reconciliation, transformation, and reporting accuracy.
Partner with business stakeholders to define KPIs, reporting requirements, dashboards, and analytical solutions.
Consolidate and standardize enterprise reporting to reduce duplicate, outdated, or conflicting reports.
Provide technical direction to data engineers, BI developers, analysts, contractors, and other data resources.
Review and validate data models, pipelines, transformations, business rules, and reporting outputs.
Improve automation and reduce manual data collection, manipulation, and reporting processes.
Establish documentation, monitoring, support, and ownership standards for critical data pipelines and reporting solutions.