Senior Manager AI Engineering

Staples Advantage Canada; Framingham (MA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

22 days PTO + holidays

Discounts and wellness programs

Company match 401(k)

Job summary

Staples Digital Solutions is seeking a Sr. Manager AI Engineering to lead strategy, development, and delivery of enterprise AI solutions for pricing and decision intelligence.

You will manage AI and Data Engineering teams, guide technical roadmaps, and partner with business and technology leaders to drive growth and profitability. You will oversee capabilities like price elasticity modeling, demand forecasting, and optimization, while championing AI-assisted software development and cloud-based

Qualifications

• Bachelor's degree or higher in a technical field or equivalent
• 10+ years delivering enterprise AI/data/analytics/software solutions
• 5+ years leading technical/AI/data teams
• 3+ years supporting pricing/revenue/forecasting/retail analytics
• Experience deploying production AI/ML solutions
• Proficiency with Python and SQL in AI/ML environments
• Experience with cloud-based data/AI platforms
• Translating business requirements into technical solutions with measurable outcomes

Responsibilities

• Lead roadmap and delivery for pricing AI and forecasting solutions
• Oversee price elasticity modeling, demand forecasting, promotion optimization, revenue optimization
• Apply ML, statistics, forecasting, and optimization to business problems
• Manage AI/ML platforms and MLOps in cloud environments (Databricks, Snowflake, Azure AI)
• Set performance metrics and monitor business impact; drive AI solution improvements
• Collaborate with Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology
• Promote AI-assisted software development to improve delivery speed and quality
• Manage resources, budgets, and priorities across multiple projects
• Coach and develop AI Engineering and Data Engineering talent

Skills

Strategic leadership

Technical leadership

Commercial judgment

Analytical thinking

Communication skills

Cross-functional collaboration

People-first leadership

Prioritization

Change management

Innovation mindset

Education

Bachelor's degree in CS/related

Master's degree (preferred)

Tools

Databricks

Snowflake

Azure AI

MLOps

GitHub Copilot

Job description

Staples Digital Solutions is building scalable AI-powered pricing, forecasting, optimization, and decision intelligence capabilities that help improve revenue, margin performance, customer value, and operational efficiency. This team partners across Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology to turn complex commercial challenges into practical, measurable business outcomes.

As the Sr. Manager AI Engineering you will lead the strategy, development, and delivery of enterprise-grade AI solutions that power smarter pricing and decision-making. You’ll manage AI Engineering and Data Engineering teams, guide technical roadmaps, and work closely with business and technology leaders to deliver solutions that drive growth, improve profitability, and create a better experience for customers and associates.

What you’ll be doing:

• Lead the roadmap and delivery for pricing AI, forecasting, optimization, and decision intelligence solutions.
• Oversee development of capabilities such as price elasticity modeling, demand forecasting, promotion optimization, revenue optimization, and competitive pricing.
• Apply machine learning, statistical modeling, forecasting, and optimization techniques to solve complex business problems.
• Manage AI/ML platforms, MLOps processes, and cloud-based engineering solutions using technologies such as Databricks, Snowflake, and Azure AI.
• Establish performance metrics, monitor business impact, and drive continuous improvement of AI solutions.
• Partner with Product, Finance, Merchandising, Revenue Management, Digital, Sales, and Technology teams to prioritize work and deliver measurable business value.
• Champion AI-assisted software development practices that improve delivery speed, quality, and productivity.
• Manage team resources, budgets, priorities, and execution across multiple high-impact workstreams.
• Lead, coach, recruit, retain, and develop AI Engineering and Data Engineering talent while fostering a culture of innovation, accountability, and continuous improvement.

What you bring to the table:

• Strategic and technical leadership with the ability to connect AI engineering work to business goals.
• Strong commercial judgment and the ability to understand pricing, revenue, margin, and customer-value drivers.
• Analytical problem-solving skills and curiosity for using data to improve decision quality.
• Clear communication skills, including the ability to translate complex AI, analytics, and engineering concepts into business-focused recommendations.
• Cross-functional collaboration and influence across product, business, finance, sales, digital, and technology stakeholders.
• A people-first leadership style focused on coaching, talent development, accountability, and continuous improvement.
• An innovation mindset and comfort leading change in a fast-paced, evolving environment.
• Strong prioritization skills with the ability to balance multiple initiatives, risks, resources, and outcomes.

What’s needed- Basic Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or related technical or quantitative field, or equivalent work experience.

• 10+ years of experience delivering enterprise-scale AI, data, analytics, or software engineering solutions.

• 5+ years of experience leading technical, analytics, AI, data engineering, or software engineering teams.

• 3+ years of experience supporting pricing, revenue management, forecasting, optimization, or retail analytics solutions.

• Experience developing, deploying, or supporting production AI/ML solutions.

• Experience using Python and SQL in AI, machine learning, data engineering, analytics, or software engineering environments.

• Experience working with cloud-based data, AI, or engineering platforms.

• Experience translating business requirements into technical solutions with measurable outcomes.

What’s needed- Preferred Qualifications:

• Master’s degree in Computer Science, Data Science, Engineering, Statistics, Operations Research, or a related quantitative, analytics, or technology discipline.
• Experience with price elasticity modeling, promotion optimization, demand forecasting, revenue optimization, or competitive pricing capabilities.
• Experience with Databricks, Snowflake, Azure AI, MLOps, or cloud-native architectures.
• Experience using AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, or similar technologies.

We Offer:

• Inclusive culture with associate-led Business Resource Groups
• 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.