Product Manager, Data

at

SSENSE

Montréal, Canada
Full Time
2y ago

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 Director of Product Management, the Product Manager, Data holds a critical role within the SSENSE Product team, working directly with teams of Data Engineers and Data Operations in building the Data Foundation of SSENSE as well as supporting Data Products including, but not limited to, AI/ML, Personalization, Customer, Buying and Pricing.

Acting as the heart, mind, and voice of our customers, he/she will play an active role in contributing to the product vision for the Data Team, which supports some of the most critical components of our technology and infrastructure. The Product Manager, Data will be operating in an ambitious and exciting time, supporting the growth of SSENSE by supporting a portfolio of products with data pipelines and infrastructures, managing an ambitious and innovative product roadmap, and leading the end-to-end execution of all product related initiatives. 

The ideal candidate will have the opportunity to work with multiple org functions including Data Science, Business Stakeholders and other Product Managers to implement data strategy, data governance and other data initiatives at SSENSE.

RESPONSIBILITIES

Delivery & Execution - 45%

  • Manage the product roadmap, providing visibility to the senior leadership

  • Identify synergies amongst various data initiatives and develop an optimal implementation plan

  • Define success metrics to measure the performance and business impact of the data products 

  • Lead Data Engineers and internal data partners through the end-to-end implementation of the data initiatives 

  • Implement agile best practices to maintain product backlog in JIRA for each data initiative throughout its lifecycle

Product Discovery - 35%

  • Capture data initiatives and needs from the business stakeholders and actively manage the product backlog

  • Prioritize continuously clearly highlighting estimated impact vs effort and trade-offs and communicating regularly with all parties involved

  • For prioritized initiatives, go deep into product discovery, documenting problem or opportunity, rationale, how to measure impact, risks & mitigation and roll-out plan. 

  • Work collaboratively with all the stakeholders (Data Science, Business Functions and other Tech Squads) to align on a roadmap and obtain their buy-in 

Product Strategy & Vision - 20%

  • Oversee a set of data products and define the vision and strategy for this designated product area

  • Serve as product and data evangelist, thought leader, and subject matter expert both internally and externally

  • Stay abreast of the latest trends in technology, e-commerce, retail, and fashion, buying and planning incl. AI/ML

Qualifications

  • Highly analytical and detail oriented
  • Creative thinker with excellent problem solving abilities
  • Strong stakeholder management skills and ability to lead by influence across functional teams
  • Strong business acumen, entrepreneurial drive and technical understanding
  • Demonstrated ability to gather user requirements across diverse functional areas and convert them into a compelling product vision
  • Ability to thrive in a fast-paced, performance-driven environment

REQUIREMENTS

  • Bachelor’s degree in Business, Computer Science, Engineering, or a related field
  • Master's degree, MBA, MSc., PhD an asset
  • Experience in Consulting, Finance, Investment banking, Analytics or other Data functions and ecommerce retail experience preferred
  • A minimum of 5 years of total relevant work experience
  • A minimum of 3 years of relevant work experience, with delivering software products and technologies an asset
  • Excellent fluency with technical concepts to translate technology initiatives into business goals 
  • Experience working with data developers, data architects to guide the most optimal technical solution 
  • Experience working in an Agile environment
  • Experience with machine learning, artificial intelligence and/or augmented reality, an asset
  • Strong written and verbal communication skills in French and English

Additional Information

WORLD CLASS TECHNOLOGY 

Technology is at the core of everything we do at SSENSE. Driven by an engineering mindset and a problem-solving attitude, we blend fashion with technology to deliver an unparalleled experience to our customers as we build seamless, custom solutions to deliver the SSENSE offering. 

WORLD CLASS TEAM

The SSENSE tech team is responsible for an international headless commerce platform. Working in an agile environment, our squads are made up of experienced innovators in Product Management, QA, Design, DevOps, Software Development, Machine Learning, Data Engineering, and Security. Headquartered in Montreal, our technology organization has been growing at a rate of 2X year-over-year and is doubling once again in 2021 as we expand across Canada, US, and Europe.  

WORLD CLASS PLATFORM 

The SSENSE platform runs on Amazon Web Services making use of serverless microservices across web, mobile and app. Our event-source architecture already achieves over 10,000 requests / second and growing at an unmatched pace, currently unseen across the industry.  Our data-driven culture of innovation empowers every product team across the tech organization to explore building, testing and learning with the latest in Machine Learning techniques. Our automated continuous improvement DevOps model (making use of both blue / green and canary deployments) results in an average of 50 production releases every day.  

Read more about us on our SSENSE Tech Blog.

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