Director – People Insights & Data Science Engineering
Company | Autodesk |
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Location | Toronto, ON, Canada |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Expert or higher |
Requirements
- 10+ years of experience with 4+ years of leadership experience in a related role involving leveraging people data to draw deep insights and leading a team
- Experience in engaging with both technical and non-technical stakeholders
- Proven experience in people analytics, with a strong emphasis on engineering and data science
- Demonstrated proficiency in programming languages such as Python, R, or SQL, as well as experience with data visualization tools (e.g., Tableau, Power BI)
- Deep understanding of statistical methodologies and machine learning techniques, with a focus on their application in HR contexts
- The ability to translate complex technical concepts into actionable insights for non-technical audiences
- You are comfortable with ambiguity. You can work in an iterative and incremental way, balancing different inputs and constantly making trade-off
Responsibilities
- Provide technical guidance to the People Insights & Solution Design team, leveraging your expertise with a strong emphasis on managing multidisciplinary teams in data engineering, front-end design, and data science domains
- Collaborate with cross-functional teams to identify opportunities to enhance data collection, analysis, and visualization processes
- Develop and implement advanced analytics techniques to uncover meaningful insights into our workforce trends and behaviors, leading our data scientists to develop predictive models and algorithms
- Oversee the design and development of user-friendly dashboards and data visualization tools, partnering with front-end designers to ensure a seamless user experience
- Lead the architecture and implementation of scalable data pipelines and storage solutions, leveraging cloud-based technologies such as AWS (e.g., DynamoDB, S3) to support our growing data needs
- Lead and coach team members in data engineering and backend development, fostering a culture of innovation, collaboration, and continuous learning
- Partner with HR leaders to translate data-driven insights into actionable strategies that optimize talent acquisition, retention, and development efforts
- Stay abreast of industry trends and emerging technologies in people analytics, continuously identifying opportunities for innovation and improvement
- Partner with the Senior Director to prioritize initiatives and optimize workload for the team
Preferred Qualifications
- Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field; advanced degree preferred