Manager, Data Visibility, Governance, and Product - Québec, Canada - SSENSE

SSENSE

Verified Company

Québec, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

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 Manager 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 oversee a team of analysts that 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

Data visibility, governance, and product design (75%)

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 Csuite executivelevel 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 maximize how they are used and actioned by Operational teams
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 uptodate documentation of operational reporting and analytical reporting requirements
Oversee all data, metric, and dashboard development by the direct team; define the internal development process and stakeholder engagement model, establishing quality measures for product delivery; achieve and maintain bestinclass benchmarks for adoption rates
Develop prioritised roadmap for scaling visibility, maturity, automation, and realtime capability for all operational process paths in tandem with process maturity assessment; design agile approach for nearterm output and ongoing, ad hoc request management
Implement design principles and templates for data visualisation and governance across Operations that guides all dashboard development in current and future state
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
Partner with Business Process Owners and Operations leadership to implement standard metrics based on industry best practices to integrate with companywide 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

People leadership and development (25%)

Work with Senior Leadership to gauge and monitor team engagement and implement solutions to create a transparent, collaborative and productive work environment
Collaborate with Senior Leadership to establish the department short term objectives for the department and ensure the team's are engaged towards achieving them
Hold weekly oneonones, conduct performance reviews, analyze individual KPIs and assess promotion readiness to help each contributor evolve in their roles
Provide mentorship and development opportunities to team members, catalyzing