for data management and automation aligned with organizational goals; stay informed about industry trends, emerging technologies, and best practices to continually enhance the data ecosystem roadmap
Lead and mentor a team of data management and automation professionals, fostering a culture of innovation, collaboration, and excellence; provide strategic direction and guidance to the team to ensure successful execution of projects; work closely with IT teams to align data infrastructure initiatives with overall technology architecture and standards
Establish and enforce data management policies, standards, and procedures to ensure data accuracy, integrity, and security; collaborate with data governance teams to implement best practices and compliance with regulatory requirements; ensure standards and best practices for automated deployments, revision control tools, and notifications
Drive efforts to integrate data and automation solutions with existing systems, ensuring interoperability and seamless functionality; implement monitoring mechanisms to assess the performance and effectiveness of data pipelines; optimize automated processes continuously to enhance efficiency, reduce errors, and adapt to evolving business needs
Collaborate with business leaders and stakeholders to understand their needs, challenges, and opportunities for data infrastructure; establish strong relationships with internal teams to ensure the successful adoption and utilization of data collection endpoint tools
Ensure comprehensive documentation of automation processes, data management workflows, and associated policies; generate regular reports on the impact of data management initiatives, key performance indicators, and areas for improvement
Minimum eight years of recent experience in a leadership role focused on data management, data pipeline, process improvement, and automation
Bachelor's degree from an accredited college or university in computer science, information technology, business, or a related field is preferred; relevant certifications in automation or data management are a plus
Experience using the following technologies is preferred: Azure infrastructure, Log Analytics, Sentinel, Event Hub; Datadog (or similar) integrations using agent deployments, API, syslog collection; Cribl (or similar) to collect, reduce, enrich, normalize, and route data
Strong understanding of data pipeline and automation tools, data governance, and enterprise-level systems
Excellent leadership, communication, and interpersonal skills; demonstrated ability to align automation initiatives with business objectives and drive organizational change
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