Revenue Operations Manager, Data Strategy & Operations
FreshpaintFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
The ideal candidate will have deep experience managing modern cloud-based data platforms and a strong understanding of data management challenges. Experience with Azure Synapse, MS Purview, Power BI, Databricks, Cognite, knowledge graph databases, RPA, AI/ML, DevOps, MLOps, cybersecurity, data privacy, FERC, and SOX is required. A Bachelor's degree in a relevant field is expected.
The IT Manager will lead the strategy, development, and lifecycle management of data products and solutions on enterprise data and analytics platforms. They will translate business priorities to scale platform capabilities for advanced analytics, reporting, and AI/ML solutions. This role involves designing and evolving data integration patterns, leading the design and implementation of RPA and Agentic AI solutions, and managing the cloud-based Data Operations and Contextualization platform. Responsibilities also include overseeing the deployment and monitoring of AI/ML models and platforms, leading cross-functional projects, establishing monitoring and cost optimization processes, ensuring compliance with cybersecurity and regulatory requirements, and managing external partners and internal teams.
Refines and markets petroleum products
Marathon Petroleum Corporation operates in the energy sector, focusing on refining and marketing petroleum products. They process crude oil into usable products like gasoline, diesel, and jet fuel at the largest refining system in the United States, located in Findlay, Ohio. Their extensive network includes branded retail locations across the country, primarily under the Marathon brand, serving individual consumers and businesses that need bulk fuel supplies. Additionally, they have a midstream subsidiary, MPLX LP, which gathers, processes, and transports crude oil and natural gas, facilitating the supply chain from raw materials to refineries. Marathon Petroleum's integrated business model allows them to control multiple stages of the supply chain, optimizing operations and reducing costs, which enhances profitability. The company's goal is to maintain strategic growth and operational excellence while serving a diverse range of clients efficiently.