Note: The job is a remote job and is open to candidates in USA. Arity is a data and analytics company focused on improving transportation. The Senior Manager will lead a team of data and infrastructure engineers to deliver data solutions for advanced data science and analytics, ensuring best practices and collaboration across teams.

Responsibilities

• Manage and develop the Analytics Data Platform team and drive technical excellence
• Drive the analysis, design, and development of a roadmap and implementation plan to continuously modernize our analytics data and model management platform and improve operational efficiency in accordance with business objectives
• Implement data security measures and ensure compliance with data governance policies and standards. Engineer secure app patterns into cloud platforms
• Use your knowledge of cloud design patterns, cloud operations, and cloud cost models to identify and address performance bottlenecks, troubleshoot technical issues, and implement optimizations to enhance overall data & model management platform performance
• Be a subject matter expert in cloud computing & model management/MLOps to help data scientists and analysts work effectively in the cloud environment
• Work collaboratively with cross-functional teams, including data scientists, analysts, engineers, and business stakeholders, to understand data and ML system requirements and deliver effective solutions
• Be a technology thought leader and a key influencer on technical decisions and organizational strategy that have long-term, strategic impact on the business

Skills

• 10 or more years of experience (preferred)
• Manage and develop the Analytics Data Platform team and drive technical excellence
• Drive the analysis, design, and development of a roadmap and implementation plan to continuously modernize our analytics data and model management platform and improve operational efficiency in accordance with business objectives
• Implement data security measures and ensure compliance with data governance policies and standards. Engineer secure app patterns into cloud platforms
• Use your knowledge of cloud design patterns, cloud operations, and cloud cost models to identify and address performance bottlenecks, troubleshoot technical issues, and implement optimizations to enhance overall data & model management platform performance
• Be a subject matter expert in cloud computing & model management/MLOps to help data scientists and analysts work effectively in the cloud environment
• Work collaboratively with cross-functional teams, including data scientists, analysts, engineers, and business stakeholders, to understand data and ML system requirements and deliver effective solutions
• Be a technology thought leader and a key influencer on technical decisions and organizational strategy that have long-term, strategic impact on the business
• Deep knowledge about public cloud architecture, cloud strategy, cloud operations, compliance, and related tools
• Hands-on experience in designing and delivering big data management and applications on cloud platforms using modern software development processes, methodologies, and tools
• Demonstrated experience in working with cloud-based ML frameworks, such as AWS Sagemaker AI, Google Vertex AI, Microsoft Azure ML, or Databricks, and in MLOps workflows, patterns and delivery objectives
• Proficient in system design or a programming language such GoLang, Scala, Python
• Demonstrated experience in designing and supporting cloud-based data lakes/warehouses/lakehouses
• Excellent collaboration skills and ability to work on a remote team
• Strong analytical, problem solving, and organizational skills

Company Overview