Senior DataOps Engineering Manager

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Job Summary:

LP Building Solutions is a leading provider of high-performance building solutions. The Data Ops Engineering Manager will lead a team of technology professionals to develop and execute the data engineering strategy, ensuring data quality and enabling data-driven decision-making across the organization.

Responsibilities:

• Lead and mentor a team of data engineering professionals, providing guidance and support to ensure the successful delivery of data projects.

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. Occasional hands-on activity with these process, as needed.

• Join forces with cross-functional teams, including business analysts, functional and technical architects, and key business stakeholders, to understand data requirements and deliver solutions that meet their needs.

• Collaborate with business and technology leaders to develop and execute the AI and Technical Innovation strategy to identify, trial, implement, and scale LP’s investments in emerging technologies.

• Ensure data quality and integrity by implementing best practices for data governance, data validation, and data observability.

• Identify & solution opportunities for optimization, process enhancements, and new technologies and tools to enhance operational reliability of data management processes.

• Optimize data storage and retrieval processes to improve performance and efficiency.

• Implement and promote Data Ops methodologies to streamline data workflows, improve collaboration, and enhance the overall efficiency of data operations and the delivery of data products.

• Manage and prioritize multiple projects and initiatives utilizing a blend of agile and waterfall methods, ensuring timely delivery of data products and alignment with business goals.

• Develop and maintain automated testing, monitoring, and deployment processes to ensure the reliability and scalability of data solutions.

• Foster a culture of continuous improvement by encouraging the adoption of CI/CD processes to optimize and improve workflows.

• Builds successful stakeholder relationships with other IT and business stakeholders by developing a clear understanding of business outcomes, acting as a trusted internal advisor, and ensuring cost-effective design & delivery of data services and products to meet those needs.

• Assess emerging data engineering technologies for applicability to business objectives, leading proof-of-concept projects, identifying design opportunities for automation, and making recommendations for continuous improvement.

• Operate within the formal data governance framework to establish and monitor effective controls for all data assets and the processes and functions performed by the Data Engineering team, including policies and standards for data cataloging, lineage, quality, and process orchestration.

• Support periodic reviews by audit, compliance and other risk-related functions, as required.

• Support Enterprise Architecture team by reviewing and contributing to architectural blueprints, roadmaps, and documentation to support development and integration efforts. Recommend changes, as required.

• Develop and execute the data strategy across technology platforms for LP’s data assets, including oversight of data engineering & integration activities.

• Other duties as assigned.

Qualifications:

Required:

• 5-10 years of experience in Data Engineering or equivalent knowledge.

• 5+ years of Data Ops methodology experience.

• 5-10 years of IT management experience leading a team of Data Engineering professionals.

• Experience in manufacturing or product-oriented industries.

• Or any combination of education, experience and training…