
Sr. Manager, Supply Chain Optimization
- West Hills, CA
- Permanent
- Full-time
- Act as CoE lead/SME: Design/standardize processes (e.g., S&OP, demand forecasting, inventory optimization) with playbooks, audits, and governance for consistent execution.
- Manage advanced tools: Own lifecycle of Kinaxis Maestro (core planning), Planet Together (scheduling), JD Edwards ERP —collaborate with IT for enhancements, integrations, and troubleshooting.
- Build training/knowledge: Deliver programs on tools/processes/analytics; mentor staff; create repositories/workshops for knowledge-sharing.
- Drive innovation/automation: Roadmap AI/ML use cases (e.g., demand sensing, predictive modeling); pilot automations; evaluate emerging tech (e.g., Fabric-Kinaxis integrations).
- Oversee data governance: Ensure clean, accessible data for real-time insights; develop automated reports/dashboards.
- Lead implementation of distribution sites (e.g., SE & MW) and future network changes to support growth, focusing on supply network (sourcing/supplier flows) and distribution network (warehouse placement, transportation routing).
- Execute future-state designs step-by-step: Model scenarios using tools like Kinaxis for "what-if" analysis, visualize bottlenecks via Power BI maps/dashboards, and achieve metrics like 15% lead-time cuts or 10% cost savings.
- Develop/execute cross-functional plans (sourcing, manufacturing, distribution, planning, IT): Own change management, schedules, technical transfers, org design, capital/inventory optimization, and status updates to leadership.
- Develop/execute data strategy: Build architecture, validation controls, automation (e.g., Power Automate), and interpretation for P&IL insights.
- Lead team to advance capabilities (predictive analysis, data structure, report building) via coaching and prioritization.
- Create innovative reporting: Cross-functional metrics, dashboards in Power BI/Fabric, and analytical tools for data-driven decisions—managing stakeholder needs step-by-step (development, implementation, automation).
- Ensure data integrity: Optimize integrations across platforms (e.g., JD Edwards, Oracle), advise on hierarchies, and enable user-level access.
- Drive analytics framework: Identify opportunities, root-cause issues, track KPIs, and automate processes for efficiencies (e.g., AI for trend/pattern spotting).
- Collaborates with business leaders, users, and the IT organization to define, consolidate, and resource data requirements.
- Creates sustainable processes and controls to ensure the integrity of core data sources and the efficiency of system resources through optimized integrations.
- Build advancement of the department’s skill level in the use of data analytics, integration, and management. Enables accessibility of data at the user level of proficiency.
- Develop and execute process improvement initiatives to drive P&IL operating efficiencies using technology (Microsoft Power Platform, etc.)
- Ability to think strategically (3-5 years out)
- Ability to manage complexity, analyze multi-factor data, develop a detailed project plan, engage and manage internal and external resources to deliver & execute with excellence to meet objectives.
- Strong financial acumen in an operations environment.
- Strong leadership skills, excellent communication skills to varied audiences, high emotional intelligence & ability to influence and motivate across all levels.
- Ability to make difficult decisions in a timely manner while engaging the appropriate stakeholders.
- Requires a four-year university degree in Business, Operations Management, Supply Chain, or equivalent professional experience.
- Master of Business Administration or Master's in Predictive Analytics or Information Sciences preferred.
- Certified Analytics Professional, Microsoft or Cloudera preferred, but not required. Lean, Six Sigma, CSCMP, PMP desirable
- Requires 10+ years of Supply Chain, Sales, or Finance experience of increasing responsibility with proven management experience
- Proven experience from a stand-alone global consumer products, manufacturing, distribution, or fast-moving/high-growth company that operates in a multi-site complex operation, preferred.
- Experience in data engineering and analytics with lead experience implementing strategy. Advanced SQL (Structured Query Language), DAX (Data Analysis Expressions), Python preferred.
- Expert in at least one data visualization tool such as Power BI or MS Fabric
- Demonstrated knowledge of relational databases and the ability to extract and transform data from ERP system tables is required.
- Experience with Microsoft Power Platform, JD Edwards, and Oracle preferred.
- Experience with Lean Enterprise principles
- Experience in automation and integration of large heterogeneous datasets across multiple platforms.
- Advanced skills in data visualization tools: Power BI or MS Fabric
- Operates with a clear bias-to-action to respond to business needs.
- Ability to lead by influence in the absence of authority.
- Experience with complex, matrixed project management.
- Excellent communicator and collaborator with stakeholders at all levels of the business
- Strong business acumen and ability to approach problems scientifically, but can also execute pragmatically.
- Expert in creating and maintaining foundational best practices in data management.
- General office environment, ability to sit for long periods. Ability to move about an office.
- Exposure to disagreeable elements is limited.
- The incumbent must be able to perform this job safely without endangering the health or safety of self or others.
- 4 Direct Reports