Manager Data Engineering
3 weeks ago
Job Posting
The Manager of Data Engineering will champion value creation through data, analytics, and data governance as strategic disciplines, will lead the ongoing review and development of the data architecture strategy to increase business agility and manage evolving complexities; and in partnership with the analytics leadership team transform analytics and insights into action throughout the business.
ResponsibilitiesDevelop Data Strategy: understand Murphy USA's business and develop an enterprise data strategy in alignment with the enterprise business strategyOversee Data Management and Data Governance: build tactical aspects of executing on the strategy and drive a culture of governance to ensure that all lines of business take ownership in preserving data value, security, and integrity through enterprise wide process, deploying data quality framework, metadata management, data lineage, catalog, business glossaryDrive Execution and Data Technology: establish and manage the implementation roadmap and strategic priorities for end to end delivery of trusted data, leading transformation and enhancement of technical capabilities and data technology stack.Other Responsibilities IncludeDrive agile development of enterprise data capabilities in iterations, with focus on improvement of data quality, security, transparency, and time to insightDefine roles, responsibilities and processes for data management and governed data deliveryServe as a liaison between business and technology teams to deliver business value, resolve conflicts and ensure collaborationDeliver effective and transparent communication on data delivery, timelines and prioritiesCollaborate with stakeholders to develop data centric technologies that support cost reduction, security, risk mitigation, revenue generation and improvement in deliveryProvide deep data knowledge and expertise encompassing advanced data analytics, supporting infrastructure, automation, and application technologiesEnsure design, development, and execution of data pipelinesManage vendors and outsourced teams of engineers and developersOwn and manage budgets, SLAs, and continuous improvement practices for Data OperationsOwn data architecture strategy and contribute to cloud architecture design and solutioningOversee on premise and cloud data environments, data migration and integrationRequirementsMasters or bachelor's degree or equivalent work experience in Computer Science, Management Information Systems, Engineering, Statistics or Analytic10+ years of hands on experience, including 5+ years in leadership roles, creating and leading performant data organizations, managing data delivery and analytics, data warehousing, data lakes, data infrastructure and operations, data governance and BIExperience in Retail or CPG industries is a plusExperience implementing data protection and security policies and controlsDemonstrated leadership skills, working in a highly matrixed organization through a combination of influence, partnership and inspirationAbility to grow teams by attracting and developing talent, coaching and mentoringComfort with change, working in complex and ambiguous situationsAbility to collaborate and build trusted relationships across the organizationStrong written and verbal communication skillsUnderstanding of advanced analytics and data science techniquesExperience with technologies, such as Azure Synapse, MS SSIS, ETL, DataBricks, Snowflake, Big Data tech stacks, RDMBS, NoSQL, SQL, Python or R
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