Supply Chain Data Products & Engineering

Technical Leadership & Oversight

• Technical Coordination: Coordinate technical resources, assign work to developers, and monitor daily progress. Remove technical blockers for the engineering team.
• Code & Quality Reviews: Perform Pull Request (PR) and code reviews to ensure quality and adherence to platform standards.
• Pipeline Delivery: Ensure data pipelines are delivered according to business needs and platform standards. Oversee the development lifecycle to ensure what is built matches the technical specifications.
• Platform Collaboration: Collaborate with the Data Architect and Platform teams to ensure development activities conform to architectural standards (Snowflake/dbt best practices).

Project and Delivery Management

• Execution Oversight: Oversee project timelines, milestones, key risks, and deliverables to ensure successful project completion.
• Mult-Project Leadership: Lead the delivery of multiple ongoing projects, ensuring alignment with program and organizational roadmaps.
• Risk Management: Proactively monitor risks, identify potential issues, and develop mitigation strategies to communicate effectively with project stakeholders.
• Methodology: Apply Agile project management concepts to ensure solutions delivered are aligned with business goals and deliver a good user experience.

Supply Chain Data Delivery

• Data Delivery: Own delivery of data initiatives across demand & supply planning, inventory & working capital, procurement & supplier performance, manufacturing & capacity utilization, transportation, logistics, and order fulfillment.
• Deliver Trusted Datasets: Provide trusted datasets and analytics for Inventory levels, OTIF, forecast accuracy, lead time, fill rate, and cost-to-serve, supplier spend efficiency, metrics etc.,
• Lead Data Delivery: Lead data delivery across core supply chain systems, including but not limited to ERP (SAP S/4HANA, ECC, Oracle), Planning tools (Kinaxis, o9, Blue Yonder, SAP IBP), WMS, TMS, MES, Ariba and supplier systems.

Stakeholder Partnership and Communication

• Point of Contact: Serve as the single point of contact for assigned Supply Chain data initiatives regarding all data engineering and delivery needs.
• Client Relationships: Maintain strong client relationships through regular communication and meetings, ensuring expectations are met or exceeded.
• Translation: Translate business needs into technical requirements and long-term scalable solutions.
• Facilitation: Facilitate communication and collaboration between business teams and data engineers.

Resource and Consultant Management

• Resource Allocation: Evaluate requirements and allocate resources based on priorities, availability, and expertise.
• Consultant Oversight: Manage Data Engineering Consultants across internal teams, monitoring their performance, utilization, and project progress.
• Conflict Resolution: Mediate any issues or challenges between consultants, technical teams, and project stakeholders.

Standards and Governance

• Best Practices: Enforce standards, policies, and procedures for data engineering practices to ensure consistency.
• Compliance: Ensure data pipelines and solutions are developed per aligned standards.
• Technical Alignment: Enforce best practices for data ingestion and ensure the team adheres to the standard internal stack.

Compensation and Benefits

Salary Range $115,200.00 - $174,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Comprehensive benefits package including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws.