SupplyHouse.com

Manager

• Drive zone-skipping strategy in partnership with UPS and other parcel carriers to compress transit times and reduce ship-from-zone costs at the fulfillment level.
• Design and scale same-day and next-day local delivery offerings from our fulfillment centers, including time windows, cutoff management, and driver/route orchestration. Manage local pickup (BOPIS/will call) operations and identify opportunities to improve throughput and customer experience at pick-up points.
• Build and manage the hub and spoke local delivery framework, facilities, staffing, routing software, and inter-FC transfer coordination. Build the operational playbook for scaling last-mile delivery as we add fulfillment centers to our portfolio
• Establish and track KPIs across delivery channels (on-time %, cost per delivery, aggregator utilization, customer satisfaction) and drive continuous improvement. Develop and maintain compliance, safety, and licensing standards for any company-operated fleet assets
• Partner with Technology, Supply Chain, and Merchandising to ensure inventory positioning supports same-day commitments and aggregator eligibility.
• Manage carrier and aggregator relationships, negotiate contracts, hold vendors accountable to SLAs, and stay current on platform capabilities and pricing changes

Senior Manager, Final Mile Delivery

Pricing Analyst

• Analyze pricing performance, margin impact, and competitive positioning.
• Prepare recommendations and insights to support category pricing strategy.
• Support retail price change decisions through data-driven analysis and scenario evaluation.
• Execute approved retail price changes accurately and on time.
• Work closely with Category Pricing Leads and Category Managers on pricing initiatives.
• Validate pricing changes post-launch to ensure accuracy and expected impact.
• Monitor market trends and competitor pricing to identify risks and opportunities.
• Build and maintain pricing reports and dashboards to track performance.
• Surface insights related to pricing effectiveness, margin movement, and competitive shifts.
• Ensure compliance with minimum advertised price (MAP) policies set forth by manufacturers

Artificial Intelligence

• Develop and own the enterprise AI adoption strategy aligned with SupplyHouse's business objectives and long-term growth plans
• Identify high-impact AI use cases across procurement, operations, sales, customer service, and finance, and prioritize based on ROI and feasibility
• Serve as the primary internal authority on enterprise AI tools, platforms, and best practices including large language models, agentic workflows, and AI-powered analytics
• Monitor the AI technology landscape and advise executive leadership on emerging opportunities and risks
• Design and execute enterprise-wide change management programs grounded in proven methodologies to drive sustained, high-quality AI adoption across all levels and functions
• Act as a culture carrier for AI transformation championing a mindset of curiosity, continuous learning, and responsible experimentation throughout the organization
• Build internal champions, AI ambassadors, and center-of-excellence structures to scale AI literacy and usage across every business unit
• Develop training curriculum, playbooks, and role-based enablement programs to upskill employees on AI tools and workflows at every level, from frontline staff to senior leadership
• Create psychological safety around AI adoption by proactively addressing employee concerns about job displacement, skill gaps, and the pace of change positioning AI as a tool that augments human capability rather than replaces it
• Partner closely with the Human Resources team to embed AI competency into hiring profiles, onboarding programs, performance frameworks, and career development pathways
• Lead executive communications, all-hands presentations, and town halls related to AI strategy, adoption milestones, and organizational impact
• Identify and mitigate human-side risks of AI adoption including change fatigue, resistance patterns, and inequitable access to enablement resources across teams
• Partner with department heads across IT, Operations, Human Resources, Legal, and Finance to embed AI into core business processes
• Collaborate with the IT and Data Engineering teams to ensure secure, compliant, and scalable AI infrastructure
• Manage relationships with external AI vendors, consultants, and technology partners
• Coordinate with Legal and Compliance teams to establish responsible AI governance policies, data privacy standards, and risk frameworks
• Define KPIs and success metrics for AI adoption initiatives and report progress to the C-suite and Board as needed
• Establish feedback loops and continuous improvement processes to optimize AI tool performance and user experience
• Build business cases and ROI models to justify AI investments and scale successful pilots enterprise-wide
• Build, lead, and mentor a high-performing team of AI program managers, analysts, and change agents
• Foster a culture of experimentation, curiosity, and responsible innovation within the team and across the organization

Director, Enterprise AI Adoption

• Learn how teams across the business work (Customer Service, Operations, Merchandising, Marketing, Product, etc.) and identify high-impact opportunities where AI can help
• Partner with stakeholders to define problems clearly, map workflows, and estimate potential value and effort
• Research and evaluate AI tools and approaches (LLMs, copilots, workflow automation, search/RAG, lightweight agents) for business use cases
• Build and test small prototypes or proofs of concept (e.g.: prompt workflows, chat-based assistants, automation scripts, internal knowledge helpers)
• Create clear documentation and playbooks so others can reuse what you build (prompt guides, best practices, example workflows)
• Help run simple enablement activities like demos, office hours, training sessions, and collecting feedback
• Track results and learnings, including what worked, what did not, and recommendations for next steps
• Follow responsible AI practices, including data privacy, security, and quality standards

Senior Manager, Final Mile Delivery

Pricing Analyst

Director, Enterprise AI Adoption

AI Enablement Intern