Senior Director Information Technology
Role Overview
Lead a multi-year strategy to transform merchandise planning, allocations and product delivery technology.
Lead a global multidisciplinary engineering organization across North America and India.
Key Skills for This Role
Full Job Posting
Team and company
Global Product Technology provides platforms for product design and development, merchandising, sourcing, planning, master data, analytics and AI-assisted workflows.
The team partners with design, technical development, merchandising, sourcing and planning functions.
Role
Lead a multi-year strategy to transform merchandise planning, allocations and product delivery technology.
Lead a global multidisciplinary engineering organization across North America and India.
Responsibilities
- Modernize merchandise planning and allocation solutions and integration stacks; scale assortment, space and size planning.
- Embed responsible AI-driven automation to accelerate planning and improve decisions, including forecasting, allocation optimization and store clustering.
- Guide secure, reliable, compliant and highly available platforms and AI/ML systems, including LLMs, vector retrieval, computer vision and intelligent agents.
- Set strategy, lead change and continuous improvement, manage resources and financial interests, and develop high-performing teams and future leaders.
- Communicate complex AI/ML architectures to executives and champion transparency, inclusion and ethics.
Qualifications
- Bachelor’s degree in computer science or a related field; at least 5 years of engineering leadership and delivery experience.
- Demonstrated experience managing large budgets, translating business strategy into engineering roadmaps, and working with data-heavy planning systems such as Anaplan or Oracle RPAS.
- Expertise in Python or Java and relevant frameworks such as TensorFlow, PyTorch or scikit-learn; deep understanding of ML, NLP, computer vision and generative AI.
- Hands-on cloud experience with AWS, GCP or Azure and MLOps tools; strong data engineering and big data knowledge.
- Able to create actionable narratives and root-cause analyses; strong executive communication and storytelling.
- At least 5 years in retail, merchandise planning and allocations, or a related field is a bonus. A master’s or PhD in computer science, applied mathematics or statistics is also a bonus.
- Authorization to work in Canada is required.
Workplace arrangement
- Hybrid arrangement; in-person collaboration is important, with a minimum of four days per week onsite.
Compensation and benefits
- Typical hiring range is CAD 241,300–316,700 annually; pay varies with market location and job-related factors.
- Eligible permanent employees may receive annual bonus and equity offerings, subject to eligibility.
- Benefits include health and dental coverage, paid time off, retirement matching, employee discount, fitness and yoga classes, parenthood top-up and development opportunities.
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