Senior Director – DataOps and Data Management, McDonald’s

Senior Director - DataOps and Data Management, McDonald's

Company McDonald’s
Job title Senior Director – DataOps and Data Management
Job location Chicago, Illinois, US
Type Full Time

Responsibilities:

  • Formulate and enforce enterprise data governance framework, with a focus on improvement of data quality and the protection of the organization’s data assets through modifications to standards, principles, practices, governance metrics, related tools, and data architecture.
  • Help refine performance metrics for data quality, reliability, and data ops and partner with responsible directors to measure and improve on the metrics
  • Ensure the establishment of a comprehensive and consistent process for managing the entire data management lifecycle
  • Provide thought leadership on data management, movement, and governance
  • Leverages standard enterprise integration architectures and patterns to drive consistency for the movement of customer and restaurant data
  • Lead a team of data engineers and data analysts to design, develop, and deploy state-of-the-art solutions to improve business outcomes
  • Oversee the development and maintenance of data pipelines, data processing, and data storage infrastructure to support initiatives.
  • Establish and enforce best practices for ML model development, validation, deployment, monitoring, and maintenance.
  • Develop and maintain a robust AI ethics framework, ensuring that AI solutions adhere to legal, ethical, and regulatory guidelines.

Requirements & Skills:

  • Strong experience owning and delivering high-load digital products/infrastructure with measurable results
  • Deep knowledge of multi-tenant data platforms, ETL concepts, data quality and governance
  • Deep insight into the newest technologies and trends to support continuous architectural modernization
  • Strong knowledge of ML algorithms, deep learning techniques, and AI frameworks (e.g., TensorFlow, PyTorch).
  • Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases.
  • Able to work in a complex multi-national  corporate environment
  • Able to navigate dependencies between stakeholder-facing data products and horizontal support teams in a constructive and collaborative way
  • Effective communication and relationship building with multiple levels of the organizational structure, including other senior-level management
  • Strong problem solver with the ability to manage and lead the team to push the solution and progress

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