Senior Manager, Sourcing & Supply Planning Analytics
Levi Strauss & Co. · Mexico City
Company:
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We're a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.
Position Summary/Objective:
- Lead the global analytics and decision intelligence agenda for Sourcing and Supply Planning. Serve as the business-facing product leader across supplier and factory performance, procurement and purchase-order execution, supply planning, inventory, capacity and constraints, and supply-demand balancing. Partner with global and regional business leaders, IT Data & Analytics, Product and Engineering to govern KPIs, shape GCP and ARC data products and semantic models, deliver Google Looker experiences, and develop advanced analytics, GenAI, AI-agent and scenario-planning capabilities from discovery through adoption and value realization.
Key Responsibilities:
- Own the global Sourcing and Supply Planning analytics and decision intelligence roadmap, prioritizing products and use cases by value, feasibility, data readiness and user need.
- • Serve as the primary analytics partner to global and regional Sourcing and Supply Planning leaders and translate operating decisions into product requirements, decision workflows and measurable outcomes.
- • Lead Supply Planning analytics across supply-demand balancing, inventory and deployment planning, capacity and constraint management, frozen-horizon adherence, lead times, backlog, service, reliability and exceptions.
- • Lead Sourcing analytics across supplier and factory performance, procurement, purchase-order execution, vendor OTIF, capacity, lead times, PO completeness, sourcing mix, cost, productivity, risk and corrective actions.
- • Own business governance for Sourcing and Planning KPIs, dimensions, hierarchies, calculation rules, grains, exclusions and drill paths, driving global standardization with justified regional flexibility.
- • Partner with IT Data & Analytics and Engineering to define and validate data products and semantic models in GCP and ARC, including business rules, joins, conformed dimensions, data-quality controls and lineage.
- • Guide governed executive, tactical and operational analytics in Google Looker / LookML, including certified metrics, self-service exploration and conversational analytics.
- • Build a portfolio of advanced analytics, GenAI and AI-agent solutions such as supplier-risk prediction, lead-time forecasting, planning copilots, PO agents, predictive exceptions, inventory optimization and sourcing recommendations.
- • Lead scenario-planning products covering supplier disruption, capacity constraints, demand variability, inventory strategies, sourcing mix, tariffs and service-cost trade-offs.
- • Lead cross-functional squads with Business Owners, Planning & Analytics, IT Data & Analytics, Product and Engineering, using clear outcomes, backlog, acceptance criteria and transition-to-scale plans.
- • Drive UAT, training, adoption, usage measurement and benefit validation, ensuring delivered products are embedded in S&OP, S&OE, sourcing and planning processes.
- • Coach and develop the two Sourcing and Supply Planning analysts, building domain expertise, technical fluency, product discipline and strong regional and global partnerships.
Performance Expectations:
- Roadmap and partnership:
- Maintain an aligned portfolio with clear owners, sequencing and cross-functional commitments.
- Trusted foundation:
- Establish governed KPIs and business-approved ARC / Looker semantic models.
- Delivery and value:
- Deploy adopted products and demonstrate measurable improvement in service, inventory, cost, risk, productivity or decision speed.
Qualifications and Skills:
- Education:
- Bachelor’s degree in Supply Chain, Industrial Engineering, Operations, Analytics, Information Systems, Business or a related field. Advanced degree preferred.
- Experience:
- 8+ years of progressive experience across sourcing, procurement, supply planning, inventory planning, supply chain analytics, digital products or transformation, including people or matrix leadership.
- Domain Expertise:
- Strong knowledge of supplier and factory management, procurement and PO execution, capacity and lead times, supply planning, inventory, constraint management, S&OP / S&OE and supply chain trade-offs.
- Data and Technical Skills:
- Hands-on fluency across the full analytics product stack: data analysis and SQL; business and semantic modeling; KPI definitions, dimensions, grains and data-quality validation; dashboard and user-experience design; and GenAI / AI-agent prototyping. Candidates should be able to create, configure, test and improve AI agents, including prompts and instructions, grounding and context, tool or workflow integration, evaluation, human-in-the-loop controls and responsible-AI guardrails. Familiarity with GCP, ARC, Google Looker / LookML and Gemini or comparable GenAI platforms is strongly preferred.
- Advanced Analytics and AI:
- Experience shaping predictive, prescriptive, optimization, generative-AI or agentic solutions and connecting them to business decisions, workflows and measurable outcomes.
- Scenario Planning:
- Experience framing assumptions, constraints, sensitivities and trade-offs for supply, capacity, inventory, supplier, sourcing-mix, tariff and disruption decisions.
- Product and Delivery Leadership:
- Demonstrated ability to lead cross-functional products from discovery through pilot, MVP, scale, adoption and lifecycle management.
- Leadership Abilities:
- Hands-on, enterprise-minded leader who develops talent, navigates ambiguity, balances speed with governance and creates accountability across reporting lines.
- Communication and Collaboration:
- Strong English communication and facilitation skills, including the ability to connect planners, sourcing teams, regional stakeholders, data teams, engineers, product teams and executives.
- Strategic Thinking:
- Connects domain products to end-to-end supply chain outcomes and a scalable global data and AI architecture.
Reporting Structure:
- Reports to the VP, Supply Chain Planning & Analytics. Initial direct reports and matrixed squad resources will be determined as the function scales.
- Location and Travel Requirements:
- Mexico. Travel to offices, suppliers or factories, regional teams and global team locations based on business needs.
- Additional Information
- Proactive and business-connected leader comfortable moving between planning and sourcing processes, semantic-model design, dashboard and agent reviews, executive discussions and pilot delivery.
This Job description intends to describe the general nature and level of work being performed by people assigned to this job. It is not intended to include all duties and responsibilities. The order in which duties and responsibilities are listed is not significant.