Senior Director, Enterprise Analytics & Data Science at Staples Inc.

Richmond Hill, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics, Data Science, Machine Learning, AI, Customer Intelligence, Data Governance, Reporting Tools, Experimentation, A/B Testing, Customer Segmentation, Attribution Modeling, Demand Forecasting, Collaboration, Stakeholder Management, Problem Solving, Change Management

Industry

Retail Office Equipment

Description

Some of what you will do: Build, accelerate, evolve Staples Canada’s analytics practice as the primary owner of analytics and data science. 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. Staples Canada is in a fast-paced environment where analytics is valued and as a result, has buy-in from leadership on continued investments and prioritization amongst other initiatives. Staples Canada has a strong vision, a broader purpose beyond being commercially successful, with a strong strategy to focus on their customer and relentless pursuit to provide them with the best experience possible. It’s an environment where experimentation and new ideas are encouraged and frequently tested – status quo isn’t good enough. Silos are discouraged whereas transparency and collaboration are organically enabled. 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 Develop suite of reporting tools, with a self-serve enablement focus, that define business impact and project success, while also providing deep insights on integrated data sets to evaluate short term and long-term ROI 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 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) Lead a continuous learning environment with respect to utilizing the latest methodologies, technologies, and illustrative best practices to tell stories which can drive business decisions 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 Consult with key internal stakeholders to ensure organizational qual research needs are met and all data collection and analytics efforts are streamlined and optimized Some of what you need: Post-secondary education in AREA or related field Any certifications that are required or preferred are an asset. 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 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 Breaking down complex problems and formulating plans for resolution Physical demands/working conditions: Office environment – Hybrid, with 4 days onsite in Richmond Hill, Monday to Thursday or Remote Some of what you will get: Associate discount Health and Dental benefits RRSP/DPSP Performance bonuses Learning & Development programs And more… #Bringyourpassion We value transparency in our hiring processes. Please note, artificial intelligence may be used in certain stages to screen, assess, or select applicants, however, a human reviewer makes all final decisions. This posting is for an existing vacancy. About the Team At Staples Canada we are dynamic, inspiring partners to our customers and the communities in which we live. As The Working and Learning Company, we inspire people to work smarter, learn more and grow every day. We’re looking for curious, approachable, and passionate individuals who love finding solutions. If that’s you, let’s work, learn, and grow together. We are building an inclusive and diverse team Staples Canada is continuously working towards 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.

Responsibilities

The Senior Director will build and evolve Staples Canada’s analytics practice, leading a centralized data science team. They will develop strategies for customer intelligence and ensure the scalability of analytics systems and processes.