Senior Business Systems Analyst - Supply Chain Planning

Samsara•Dallas, TX

6d•$131,198 - $198,450•Remote

About The Position

Samsara is seeking a Senior Product Manager to define, build, and scale the technology ecosystem powering Samsara's end-to-end supply chain operations. This role sits at the intersection of business strategy, product management, enterprise architecture, and emerging technology — translating complex supply chain challenges into scalable digital solutions including enterprise platforms, integrations, automation, AI-powered workflows, and intelligent decision-support capabilities. You will own the product vision, strategy, architecture, and roadmap across planning, procurement, supplier collaboration, fulfillment, order management, logistics, and reverse logistics — driving build-vs-buy decisions and delivering measurable business outcomes through technology transformation. You will partner closely with Supply Chain Operations, Business Technology, Engineering, Data, Finance, and external technology partners to modernize Samsara's supply chain capabilities and enable scalable global operations. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

Requirements

10+ years in Product Management, Supply Chain, Solutions Architecture, or Digital Transformation with ownership of a functional domain or enterprise systems portfolio
Strong understanding of end-to-end supply chain processes: Design-to-Release, Forecast-to-Plan/Build, Order-to-Cash, Procure-to-Pay, and Returns/Reverse Logistics
Hands-on experience delivering enterprise systems, integrations, and process automation, including AI/ML or advanced analytics in operational contexts
Ability to translate complex business problems into clear technical requirements and target-state architecture
Proven ability to influence and align senior, cross-functional stakeholders in a matrixed environment without direct authority
Strong collaboration and communication skills across technical and non-technical global teams
Strong documentation discipline, and high attention to detail
Familiarity with agile methodologies

Nice To Haves

Experience owning systems or platform roadmaps within a Business Technology or Corporate Systems organization
ERP experience: NetSuite, Oracle, or SAP
Advanced Planning Systems experience: E2open, Kinaxis, Blue Yonder, or Oracle
Salesforce knowledge
Data and integration ecosystem experience: Databricks, cloud platforms (Azure, AWS, GCP), APIs, and integration platforms such as Workato or MuleSoft
Working knowledge of SQL and analytics
Experience with Large Language Models and core ML concepts: forecasting, optimization, classification, and anomaly detection
Hands-on experience building AI-powered solutions: AI agents, MCP-based integrations, AI copilots, RAG applications, and LLM-powered workflows
Familiarity with AI tools such as Claude, ChatGPT, Gemini, or enterprise AI assistants
MBA or Master's degree in Supply Chain, Analytics, Engineering, Computer Science, or a related field

Responsibilities

Drive the multi-year product vision, strategy, target-state architecture, roadmap, and investment priorities for Supply Chain technology capabilities
Lead product strategy across a portfolio of enterprise supply chain systems, balancing business outcomes, customer needs, technical feasibility, scalability, and long-term value
Identify systemic operational friction and translate business challenges into scalable product, platform, automation, and AI solutions
Define success metrics, value realization frameworks, and measurable outcomes across adoption, efficiency, cost savings, and operational performance
Influence senior leaders by connecting business strategy, technology capabilities, and transformation opportunities.
Own a functional portfolio spanning planning, procurement, order management, fulfillment, and reverse logistics
Analyze current-state processes, identify root causes, and design future-state operating models and workflows
Translate complex supply chain processes into scalable product capabilities, user journeys, system requirements, and integration patterns
Drive modernization from fragmented tools and manual processes toward connected, intelligent supply chain platforms
Ensure core platforms (ERP, planning, and analytics systems) work together to support reliable, efficient end-to-end operations
Partner with business teams to redesign processes where technology, automation, and AI can unlock significant operational leverage
Define end-to-end application, integration, data, and platform architecture across ERP, planning, analytics, and AI ecosystems
Establish scalable architecture patterns enabling reliability, extensibility, governance, and long-term maintainability
Lead technology evaluations, vendor assessments, and build-vs-buy decisions
Drive simplification of application landscapes, reduction of technical complexity, and creation of reusable capabilities
Evaluate emerging technologies to identify opportunities for strategic advantage
Identify high-value AI and automation opportunities across supply chain operations to improve productivity, decision-making, and operational agility
Define and execute AI-enabled product strategies leveraging LLMs, AI agents, agentic workflows, MCPs, predictive analytics, and optimization models
Design and scale AI-powered solutions that integrate enterprise data, business workflows, and operational systems to reduce manual effort and accelerate decisions
Partner with Engineering, Data Science, and Architecture to take AI initiatives from experimentation through production deployment and measurable business impact
Establish responsible AI practices covering governance, security, data quality, transparency, and continuous improvement
Own the end-to-end product lifecycle from ideation through deployment and continuous improvement
Define user stories, acceptance criteria, and backlog prioritization, and partner with engineering to deliver
Ensure solutions are scalable, well-documented, and aligned with governance and compliance standards
Build alignment across senior leaders and cross-functional teams: Supply Chain, Business Technology, Engineering, Data, Finance, Procurement, and Operations
Navigate ambiguity and solve complex problems where there is no predefined solution
Mentor product managers and technology partners to raise product maturity and execution standards
Establish best practices around discovery, prioritization, product thinking, and outcome measurement
Define and track KPIs including forecast accuracy, inventory turns, service levels, cycle time, automation rate, and cost savings
Monitor system performance and business impact post-deployment
Continuously refine systems and features based on data insights and stakeholder feedback
Champion and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as the company scales globally and across new offices.