Company Description

SSENSE (pronounced [es-uhns]) is a global technology platform operating at the intersection of culture, community, and commerce. Headquartered in Montreal, it features a mix of established and emerging luxury brands across womenswear, menswear, kidswear, and Everything ElseTM. SSENSE has garnered critical acclaim as both an e-commerce engine and a producer of cultural content, generating an average of 100 million monthly page views.

Job Description

About the job :

Are you passionate about transforming raw data into strategic insights that drive supply chain efficiency?

As the Lead, Operations Analytics Development, you will be the Data Subject Matter Expert (SME) for the entire SSENSE value chain. Reporting to the Senior Manager, Data Visibility & Governance, your role is to design, build, and certify scalable, high-quality data products. You will bridge the gap between business systems and self-service BI, enabling advanced analytics that optimize end-to-end decision-making.

What you will do :

• Infrastructure Design and Maintenance (Data Mesh): Own the complete design, build, and maintenance lifecycle of the Supply Chain's data models (ERDs), ensuring the integrity and accessibility of large data volumes.

• Data Product Certification: Develop, test, and deploy certified, stable, and secure data sources to transform raw data into reliable assets, critical for business decision-making.

• Engineering-Business Partnership: Translate complex business needs (Supply Chain processes) into precise technical data requirements and actionable user stories for the Engineering and Data Platform teams.

• Enabling Self-Service (BI): Develop standardized documentation, lead interactive training sessions, and maintain an up-to-date data catalog to empower domain analysts.

• Governance and Documentation: Collaborate with the Lead, Data Integrity & Governance, to develop standards and artifacts (data flow diagrams, Confluence pages) for the operations domain.

• Advanced Analytical Support: Provide ad-hoc technical support for analyses requiring complex transformations, while identifying and leading continuous improvement activities for existing data models.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering, or a relevant quantitative field.
• 5 to 7 years of experience in data modeling, information architecture, and data product design, with a strong mastery of SQL and relational databases (PostgreSQL, MySQL).
• Advanced experience working with next-generation data warehousing platforms (e.g., Redshift, Snowflake).
• Ability to synthesize and simplify complex technical information and strong communication skills to influence cross-functional teams.

What Sets You apart :

• Practical experience with leading data visualization tools (Tableau, Looker, AWS QuickSight).

• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud).

• Experience with process mapping software (Lucidchart, Visio).

Additional Information

Hybrid work schedule

We believe in a balance between in-person collaboration and flexibility. That's why this is a hybrid role, with in-office days on Tuesdays and Wednesdays to connect as a team, and the potential for additional days based on business needs.

Why Join Us :

• Extended health and dental benefits, including comprehensive mental health programs and coverage
• Parental top up program
• Generous Employee Discount
• Access to telemedicine and employee and family assistance program
• Savings and retirement plan matching contributions
• Opportunity to work with cutting edge technologies and an innovative team that’s pushing the boundaries of technology

SSENSE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need special accommodations, let us know. We will do our best to accommodate you!

This job posting was drafted with the assistance of AI.

#LI-Hybrid