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Senior Director, Enterprise Analytics & Data Science

Full Time
6 days ago
Who we are
As the Working and Learning Company, we at Staples Canada, are dynamic, inspiring partners to our customers and the communities in which we live. At Staples, we inspire people to work smarter, learn more and grow every day. We look for people who are curious, approachable and passionate, and who enjoy finding solutions.

If that's you, let's work, learn and grow together.
We are building an inclusive and diverse team
Staples Canada is creating an inclusive and diverse work environment. We welcome, value and thrive on perspectives and contributions from backgrounds that vary by race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion or physical ability. If you have a disability or special need that requires accommodation, please let us know.
Some of what you will do
Staples Canada is in a fast-paced environment where analytics is valued and is a priority. It's an environment where experimentation and new ideas are encouraged and frequently tested - status quo isn't good enough. As the Senior Director, Enterprise Analytics & Data Science, you will build, accelerate, evolve Staples Canada's analytics practice as the primary owner of analytics and data science. You will lead a team of individuals as part of a COE model where you will be responsible for the primary strategy, execution on the base-level of analytics that has high-standard and run a centralized data science practice. E ach day will be fast paced, challenging, rewarding and meaningful.

Specifically, you will:

    • Own and develop the vision, strategy, and execution for a best-in-class customer intelligence, data science and analytics function, ensuring scalability of systems, governance, tools, capabilities, processes, and talent
    • Curate and source together all types of transactional/behavioural/operational data (onsite, in-store, offsite, third-party) elements into a collection of views that can easily be leveraged and trusted for as close to real-time decision making, connecting back to the Customer and their journeys
    • Partner to deliver a common reporting service layer between various back end and front-end systems across all BUs enabling real-time data synchronization and reporting
    • Build and maintain a democratized AI infrastructure that can rapidly be leveraged by immediate and broader analytics teams while driving programmatic best practices through every aspect; enable SAAS and no-code solutions for rapid deployment
    • Unlock a unified experimentation platform while enabling best practices and training to support rapid A/B testing for feature deployment, customer facing experiments/pilots, and other CX elements
    • Build and support a unified 360 view of customers to deliver customer-first analytics solutions, and drive a customer data narrative across all aspects of business functions
    • Develop, implement, and utilize machine learning algorithms and data science approaches to deliver customer segmentation, retention, attribution modeling and other solutions that are customer facing (front end), eventually moving to demand forecasting, time series modeling, fraud/risk, space/assortment/X product optimization (back end)
    • Build consensus and gain alignment on the data and analytics strategy, while defining the path forward for capabilities across the ecosystem including required change management, organizational structure changes and communications strategy
Some of what you need

    • 10+ years progressive management experience in a data and analytics space
    • 5+ years of progressive experience with machine learning and AI_
    • 5+ years leading teams and individuals
    • Post-secondary education in AREA or related field
    • Ability to navigate large organizations and develop strong business partner relationships across various teams
    • Ability to influence at all levels within the organization, ensuring full understanding of stakeholder needs and wants
    • Previous working experience in AI systems is an asset
    • Conceptualizing, evaluating, and negotiating third party partnerships
    • Advanced presentation skills, ability to communicate messages appropriately to effectively relay most critical information
    • Experience developing, empowering, and growing people leaders and associates
    • Demonstrated ability to identify risks, develop and implement strategies to address gaps
    • Direct experience owning and managing a budget to plan
    • Curious
    • Approachable
    • Passionate
    • Problem solver
Some of what you will get

    • Associate discount
    • Health and Dental benefits
    • Performance bonuses
    • Learning & Development programs
    • And more...
Additional Information

    • Hybrid work environment both onsite and offsite