QUALIFICATIONS YOU MUST HAVE

• Typically requires bachelor’s degree or equivalent experience and minimum 2 years prior relevant experience.
• Experience with data governance, business intelligence (BI) solutions, predictive analytics, and/or statistical modeling.
• Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance.

QUALIFICATIONS WE PREFER

• Ability to assess, design, and implement enterprise-wide process improvements with measurable ROI.
• Previous experience working in a cross functional and/or bargaining unit environment
• Demonstrated people management/leadership skills, experience engaging large, complicated teams
• Extensive experience applying Lean, Six Sigma, and other operational excellence methodologies to logistics and manufacturing environments.
• Experience in leading digital transformation efforts that impact global supply chain networks.
• Strong ability to translate complex data into clear, actionable business strategies.
• Strong financial acumen to assess cost-saving opportunities and optimize logistics spend.
• Proven track record of building alignment across functions, securing buy-in, and leading change at scale.
• Strong negotiation and stakeholder management skills with the ability to drive consensus on high-impact initiatives
• Proven ability to lead leaders and develop high-performing teams in a matrixed, fast-paced environment.
• Strong executive presence with experience influencing senior-level stakeholders and driving enterprise change.

POSITION ROLE TYPE:

Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

WHAT YOU WILL DO

• Set the strategic direction for logistics data transformation initiatives, ensuring alignment with business objectives and enterprise goals.
• Drive the adoption of advanced analytics, automation, and digital tools to optimize logistics performance.
• Assist in the transformation of legacy data processes into scalable, technology-driven platforms that enhance logistics operations.
• Establish and enforce data governance, ensuring accuracy, security, and consistency across systems.
• Utilize Power BI, SAP, SQL, Python, Alteryx, and other advanced tools to enhance real-time decision-making and operational efficiency.
• Develop and implement data-driven strategies to reduce cycle times, lower costs, and improve supply chain performance.
• Identify opportunities to streamline workflows through automation and predictive analytics.
• Present high-impact data insights to senior leadership, influencing enterprise-level decision-making.
• Build consensus across stakeholders, ensuring data-driven initiatives translate into tangible business outcomes.
• Oversee the creation and analysis of enterprise-wide logistics performance metrics, ensuring data integrity and relevance.
• Lead the development of dashboards and automated reporting tools that provide real-time insights into logistics trends, risks, and opportunities.
• Monitor and optimize inventory positioning strategies to improve supply chain responsiveness and cost-effectiveness.