Job Overview:

The Channel Order Management & Analytics Leader is responsible for managing the overall health of the Channel organization's global open order book and leading the team supporting order management activities. This role plays a critical role within the Channel Supply Chain organization, ensuring seamless coordination between distribution partners and TE's internal Business Units (PBUs) and manufacturing plants.

The successful candidate will oversee and optimize a complex order management operation, improve supply chain visibility, and drive process excellence. In addition, the role will lead the transformation of current operational processes toward a more proactive, analytics-driven, and automated operating model.

Roles & Responsibility:

PILLAR 1 - Own & Run the Operation - Order & Supplier Management:

- Own the health of the Channel open order book, including order intake, confirmations, past-due aging, exception aging, and OTIF delivery across 10 - 14 analysts.

- Manage distributor backlog and exceptions, including past-due orders, unconfirmed lines, blocked orders, and expedites.

- Support distributor-specific supply chain activities, including drop-ship and stock orders, DTAM/design-registration demand, inventory pulls, and allocation commitments.

- Champion the TE Customer Value Proposition (CVP) to improve customer and distributor experience.

- Ensure SAP execution discipline, including schedule lines, ATP, recommit dates, ABCON/Ship Note validation, and Late Reason Codes.

- Own the Channel-to-BU supplier scorecard, including confirmation adherence, lead-time compliance, fill rates, and recovery performance.

- Establish recurring reviews with PBU planners, schedulers, and supply planning teams.

- Build collaborative relationships with BUs and plants to proactively identify and resolve constraints.

- Translate supply constraints into distributor impact and drive mitigation plans.

- Act as the escalation bridge between Channel, BUs, Customer Care, and distributors.

PILLAR 2 - Transform the Operating Model:

- Shift the team from reactive issue resolution to proactive prevention using early-warning analytics.

- Re-engineer daily operations to provide analysts with prioritized work queues and reduce manual preparation effort.

- Deploy Power BI dashboards that predict risks and support decision-making.

- Create planner-focused views for response aging, recommit tracking, ATP failures, and pending actions.

- Lead change management while maintaining operational performance and service levels.

PILLAR 3 - Institutionalize Process, Automation & AI:

- Drive the automation roadmap using Power BI, Fabric, and Power Query while maintaining SAP as the system of record.

- Replace manual Excel-based cleansing, exception handling, and work allocation with automation.

- Implement AI-driven logic, including exception flags, ATP failure indicators, risk scoring, Next Best Action recommendations, and predictive delay management.

- Deliver phased solutions, including automated prioritization, dashboards, workflow automation, and future-state Power Apps capabilities.

- Standardize and document SOPs for all order management activities.

- Develop auditable tracking and record-keeping processes for data intake, task logging, and status history.

- Standardize exception codes, aging buckets, root-cause analysis, and corrective actions.

- Modernize FTZ program maintenance through automated tracking, reconciliation, and compliance management.

- Standardize SAP update procedures and controls to ensure accurate, repeatable, and audit-ready execution.

Desired Candidate Profile:

- 8+ years of progressive supply chain experience in Order Management, Backlog Management, Materials Planning, Supply Planning, or Customer Operations.

- Prior people management experience as a Supervisor, Team Lead, or Manager (mandatory).

- Strong SAP expertise (SD/MM modules) with the ability to drive accurate order execution and coach team members. Exposure to SAP IBP is an added advantage.

- Advanced Power BI and Advanced Excel skills for reporting, analytics, and decision-making.

- Strong analytical, problem-solving, and continuous improvement mindset.

- Bachelor's Degree in Supply Chain, Industrial Engineering, Business Administration, Analytics, or a related field.

- Strong English communication skills (written and verbal).

Preferred Qualifications:

- Experience in Distribution or Channel Supply Chain Operations, preferably in electronic components or distributor-facing environments.

- Proven experience in Supply Chain Digital Transformation, including automation initiatives using Power BI, Power Query/Fabric, Power Automate, and Power Apps.

- Ability to think strategically and redesign operating models while managing day-to-day execution.

- Experience managing supplier relationships and cross-functional stakeholders, including KPI and scorecard ownership.

- Knowledge of FTZ (Foreign Trade Zone) and Trade Compliance processes.

- Exposure to AI/ML-enabled decision support, Business Objects, APICS CPIM/CSCP, Lean, Kaizen, or Six Sigma methodologies.