Senior Manager - Analytics Data Platform

Job Description

Founded by The Allstate Corporation in 2016, Arity is a fully remote data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.

At the heart of that mission are the people that work here-the dreamers, doers, and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents toward transforming transportation.

That's because at Arity, we believe work and life shouldn't be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don't just want you to see yourself here. We want you to be yourself here.

Arity Analytics Data Platform

Arity's Analytics Data Platform (ADP) team enables our analytics and data science teams to research, develop, deploy, and optimize analytics products that drive Arity's mission forward. The ADP team defines, provisions, and manages data pipelines, tools, platforms, and infrastructure to optimize analytics workflows and facilitate efficient collaboration with Arity's engineering teams to bring analytics products to production. We promote best practices for code and model management, reproducibility, scalability, and governance of the end-to-end analytics lifecycle. The team also plays a central role in the adoption and effective use of emerging AI-based development tools within the Arity Analytics community.

The Role:

You will lead a team of data and infrastructure engineers in the overall delivery of data solutions enabling advanced data science and analytics. This includes the development and management of cloud-based big data systems for ingesting, processing, and managing spatial-temporal and other types of data for analytics R&D; the implementation and operationalization of advanced data processing pipelines and AI solutions; identifying and integrating new data management and data analytics tools and ensuring best practices in their usage; and establishing and administering MLOps best practices in collaboration with Arity Engineering. The Senior Manager is responsible for the recruitment, selection, mentorship, and development of team members and for setting the strategic direction for the team in support of the business objectives of the company. This role is also accountable for building alignment with key stakeholders across Arity on the big data management strategy and execution.

Key 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.

Functional Skills:

• 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.

Experience:

• 10 or more years of experience (preferred)

Supervisory Responsibilities:

• This job has supervisory duties.

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Skills

Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Data Science, Google BigQuery, Google