Lead, Data Visibility and Governance

1 month ago

Montréal, Canada SSENSE Full time

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 Else.

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. Approximately 80% of its audience is between the ages of 18 to 40. It is privately held and has achieved high double digit annual growth and profitability since its inception.

**Job Description**:
Reporting to the Senior Director of Global Operational Excellence & Continuous Improvement, the Lead of Data Visibility, Governance, and Product is responsible for leading the design, development, and successful implementation of current and future data visualisation, reporting standards, and workflow data products for Operations. They will translate business requirements into technical reporting requirements across all end-to-end processes, define the metrics, and then build the data products and corresponding dashboards that will be a cornerstone of all Operational roles and training programs at SSENSE. The incumbent will ensure data visualisation, metric, and KPI standards are clearly defined ahead of our global network expansion plans over the coming 1-3 years.

**RESPONSIBILITIES**
- Co-develop and lead the Operations Visualization & Data Governance transformation plan that will standardise and operationalize all data points related to physical and systemic movement of products within the SSENSE Network, spanning operational process paths to C-suite executive-level reporting
- Translate and develop standard metrics for reporting, and collaborate with the Product and Engineering, and Data Platform team to determine the right mechanism for delivering the reports and insights to maximise how they are used and actioned by Operational teams
- Collaborate with the Product and Data Platform teams to define and demarcate data accessibility and tools for analysis vs. standardised user interface for operational process and reporting
- Develop, and implement reporting solutions with AWS tools like Athena, Tableau, and operational reporting capabilities available through operational systems
- Work closely with all Operational teams and executive leadership to ensure clear and consistent metric definitions, comprehensive capture and up-to-date documentation of operational reporting and analytical reporting requirements
- Help oversee all data, metric, and dashboard development by the direct team; help define the internal development process and stakeholder engagement model, establishing quality measures for product delivery; achieve and maintain best-in-class benchmarks for adoption rates
- Help develop a prioritised roadmap for scaling visibility, maturity, automation, and real-time capability for all operational process paths in tandem with process maturity assessment; design agile approach for near-term output and ongoing, ad hoc request management
- Help implement design principles and templates for data visualisation and governance across Operations that guides all dashboard development in current and future state
- Partner with Business Process Owners and Operations leadership to implement standard metrics based on industry best practices to integrate with company-wide metric reporting
- Implement continuous improvement processes for refining / streamlining data or visualisation standards, as well as change management practices for deployment; inclusive of scalable approach to deprecating and removing legacy reports and dashboards
- Pilot workflow tools that support predictive analytics and algorithmic recommendations
- Oversee successful migration of reporting, visualisation, and workflow tools with existing system or product changes (e.g., WMS); partner with Product teams to define requirements of new systems or product implementation (e.g., YMS, LMS); ensuring successful integration with data governance and reporting standards
- Partner directly with the Data Platform team and the Product and Engineering teams to develop a design of the future for these collaterals and corresponding data architecture

**Qualifications**:
**REQUIREMENTS**
- Bachelor's Degree in Computer Science, Information Systems, Mathematics, Statistics, Data Science or another relevant field
- A minimum of 5 years of professional, hands-on data management/Operations and analytics experience
- Previous management experience leading highly developed data management and analytical professionals, ideally in fast-paced Fulfilment industry, Distribution, Logistics or Production/Manufacturing environment, an asset
- Extensive experience with data manipulation and data visualisation tools, such as Tableau for reporting and dashboarding is essential
- Extensive experience with data manipulation using SQ

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