BI and Data Engineering Manager

Job Requisition ID #

25WD88979

Position Overview

Autodesk is seeking a talented and experienced Manager to lead our BI and Data Engineering Team and drive the development and implementation of our business intelligence solutions. The mission of the team is to empower decision makers through trusted data assets and scalable self-serve analytics. The ideal candidate will have a strong background in data engineering, business intelligence, and team leadership. This role will be responsible for overseeing the design, development, and maintenance of data pipelines, databases, and BI tools to support data-driven decision-making across the CTS organization. You will join the CTS Business Effectiveness department and report to the leader of the department

• Lead and manage a team of data engineers and BI developers, Foster a collaborative and innovative team culture.
• Manage data warehouse plans across a product vertical and drive data quality across the product vertical and related business areas
• Manage the delivery of high impact dashboards and data visualizations to drive the design, building, and launching of new data models and data pipelines in production
• Collaborate with stakeholders to define data requirements and objectives.
• Translate technical designs into business appropriate representations and analyse business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
• Address questions from downstream data consumers through appropriate channels
• Create data tools for analytics and BI teams that assist them in building and optimizing our product into an innovative industry leader
• Stay up to date with data engineering best practices, patterns, evaluate and analyse new technologies, capabilities, open-source software in context of our data strategy to ensure we are adapting our own core technologies to stay ahead of the industry

• 3 to 5 Years managing data teams
• BA / BS in Data Science, Computer Science, Statistics, Mathematics, or a related field
  Built processes supporting data transformation, data structures, metadata, dependency, data quality, and workload management
• Experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe. Must have worked on Snowflake Cost optimization scenarios.
• Overall solid programming skills, able to write modular, maintainable code, preferably Python & SQL
• Have experience with workflow management solutions like Airflow
• Have experience on Data transformations tools like DBT
• Experience working with Git
• Experience working with big data environment, like, Hive, Spark and Presto
• Ready to work flexible hours

• Experience supporting Support, Customer Success,
• DAG Airflows
  Knowledge of natural language processing (NLP) and computer vision techniques.
• Familiarity with version control systems (e.g., Git).
• Working knowledge of Power BI
• AWS environment, for example S3, Lambda, Glue, Cloud watch
• Basic understanding of Salesforce
• Experience working with remote teams spread across multiple time-zones
• Have a hunger to learn and the ability to operate in a self-guided manner

• You're a true data ninja and leader - you can creatively mine multiple disparate datasets to glean insights, answer business questions and provide next best actions
• You want to understand Customer Success - you're not just satisfied with building a cool model, you also want to make sure it's relevant in the field.
• You help tell compelling stories using data and reporting tools- weave together a narrative of what is happening in the business based on your analysis.
• You engage business leaders to determine how to best answer their questions through analysis and data science methodologies