Technical Engagement Lead (Supply Chain Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Remote, primarily within the US; 10–15% travel required for on-site project work, including implementation kickoffs, UAT sessions, and executive workshops.
Annual compensation: $150,000–$205,000 in on-target earnings, including 30% variable compensation. Equity opportunity available.
Company
is an enterprise AI platform for supply chain decision intelligence, helping large organizations optimize networks, inventory, routing, fulfillment capacity, demand, and other complex supply chain decisions.
What you will do
- Lead end-to-end delivery of enterprise supply chain analytics and optimization programs from kickoff through go-live and adoption.
- Establish engagement governance, steering committees, program cadences, success metrics, and value realization processes.
- Translate business requirements into technical architectures using ’s platform, including hands-on configuration and solution design.
- Lead modeling, data integration, debugging, troubleshooting, and configuration across technical and functional teams.
- Coordinate engineering, data science, IT, customer, and offshore delivery stakeholders across geographies and time zones.
- Run UAT, change management, customer enablement, and feedback processes that support adoption and product roadmap improvements.
Requirements
- 8+ years of experience in consulting, enterprise SaaS, or supply chain analytics delivery, ideally owning statements of work end-to-end.
- Hands-on experience configuring, modeling, debugging, and troubleshooting technical solutions.
- Deep understanding of supply chain analytics use cases, including optimization, prediction, and simulation.
- Experience leading global project teams and enterprise-scale programs, with strong program management and executive communication skills.
- Proven experience running UAT and change management that drives adoption.
- Bachelor’s degree in Engineering, Supply Chain, or a related field; an advanced degree is preferred.
Nice to have
- Advanced degree in Engineering, Supply Chain, or a related field.
- Experience working in an entrepreneurial, high-growth environment.
Culture & Benefits
- Remote work primarily within the US.
- Opportunity to work hands-on with an enterprise AI platform for supply chain decision intelligence.
- Equity opportunity in .
- Variable compensation tied to individual and business performance.
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