Platform Product Lead, Managed Inventory Platforms

Position Summary

The Platform Product Lead - Managed Inventory Platforms is a senior individual contributor responsible for enabling scalable, platform level execution across MSC's Managed Inventory ecosystem.

This role ensures that products across inventory management solutions operate as a connected system, driving consistency, faster implementation, and improved customer outcomes.

It translates strategy into clear platform and data requirements, enabling analytics and AI-driven capabilities to scale reliably across the business.

This role is critical as MSC evolves from solution-based offerings to a platform-driven model, requiring stronger alignment across systems, data, and execution.

Duties and Responsibilities

• Platform Product Ownership
• Serve as the lead for cross solution, platform level requirements spanning core inventory systems, shared data models, and downstream applications
• Translate Managed Inventory strategy into clear platform requirements with defined business and data acceptance criteria
• Ensure platform capabilities support consistent execution across vending, vendor-managed inventory, and on-site inventory solutions without fragmentation
• Define and align on platform level “definition of done,” including business outcomes, data integrity, and operational readiness
• Lead the definition and alignment of cross solution data definitions across systems, reporting, and analytics
• Execution Readiness
• Author clear, complete, and unambiguous product and data requirements that engineering and partners can implement without misinterpretation
• Partner with Product Owners, Engineering, and Data teams to align on scope, dependencies, and acceptance criteria prior to development
• Support governance and readiness checkpoints by identifying gaps, risks, and dependencies, and recommending actions prior to deployment
• Identify platform dependencies and ensure cross-functional alignment before pilot, launch, or scale decisions
• Drive clarity in ambiguous areas by identifying missing requirements, undefined processes, or gaps in execution plans
• Platform & Issue Management
• Act as first-line escalation point for platform-related execution issues, helping coordinate resolution and reduce dependency on leadership
• Identify recurring themes and systemic issues across pilots, integrations, vendors, and legacy/cloud environments
• Proactively identify platform limitations, data gaps, and risks before they impact delivery or customer experience
• Drive structured resolution of platform issues with a focus on root cause, scalability, and downstream impact
• Partner across teams to ensure platform stability, consistency, and maintainability as solutions scale
• Data & AI Enablement
• Partner with analytics, data science, and AI teams to ensure platforms enable reliable KPI generation, optimization, and insight delivery
• Translate analytics- and AI-driven use cases (e.g., recommendations, forecasting, optimization) into clear product and data requirements
• Own business definitions and data requirements required to support scorecards, optimization tools, and performance feedback loops
• Ensure platform capabilities support scalable analytics, reporting, optimization, and AI-enabled decision-making across customer solutions

Qualifications

• Bachelor's degree in business, engineering, computer science, or related field required.
• Minimum seven years of experience in product management, business analysis, or equivalent roles required.
• Experience working with data platforms, APIs, integrations, and complex system environments (e.g., cloud data platforms, analytics tools, or enterprise systems) strongly preferred.
• Strong systems thinking across product, data, and operational workflows.
• Proven ability to define requirements, identify gaps, and create clarity in ambiguous environments.
• Strong stakeholder and communication skills with ability to influence without authority.
• Bonus points if you have experience supporting analytics, optimization, or AI-enabled products.
• Background in supply chain, industrial, manufacturing, or B2B solutions environments.
• Experience working closely with platform architecture or data engineering teams.

Other Requirements

• A valid driver's license may be required.
• Position requires up to 25% of travel.
• This position may require access to International Traffic in Arms Regulations Information (“ITAR”) and/or Controlled Unclassified Information (“CUI”).