Sr Manager of Logistics Data Analytics & Systems

The Sr Manager of Logistics Data Analytics & Systems leads a tiger team to design, optimize, and scale Honeywell Aerospace's Logistics data analytics and systems roadmap, robust program governance, and data-driven decision-making. This role owns the design and execution for enterprise logistics systems (ERP/WMS/TMS) and analytics capabilities that improve service, reduce cost, and enhance resilience across global Honeywell Aerospace Logistics. You will partner closely with Logistics stakeholders (Operations and Purchasing) as well as with IT, Integrated Supply Chain and Finance to deploy future-ready solutions, from warehouse layout and MHE design to WMS/TMS advancements, analytics/automation, and process standardization while ensuring compliance and driving a culture of innovation and continuous improvement.

Key Responsibilities

Strategic & Cross-Functional Leadership

• Set the multi-year strategy and roadmap for logistics data analytics and systems in alignment with Honeywell Aerospace global supply chain strategy and business objectives.

• Lead a tiger team of data and systems experts focused on Logistics as a value enabler; attract, develop, and mentor talent.

• Influence senior stakeholders; translate technical concepts into clear business outcomes and investment decisions.

Systems & Integration (ERP/WMS/TMS and Adjacent Tech)

• Oversee the implementation, enhancement, and integration of ERP, WMS, and TMS platforms; ensure scalability, interoperability, and robust change management.

• Partner with IT and cybersecurity on architecture, data governance, and system performance; manage vendor relationships and lifecycle roadmaps.

• Drive adoption of automation and digital solutions (e.g., MHE/WMS integrations, labor management systems, voice/pick-to-light, dock/yard optimization, transportation optimization).

PMO Governance & Portfolio Delivery

• Establish and lead the Logistics PMO, including intake, prioritization, stage-gate governance, risk/issue management, and benefits realization.

• Create standard project/portfolio dashboards, cadence, and KPIs (on-time, on-budget, scope, value delivered) to ensure transparency and execution discipline.

• Manage cross-functional programs with clear charters, RACI, and change management plans to drive adoption and sustain outcomes.

Data, Analytics & Insights

• Develop and leverage department KPIs and analytics across the ISC organization to drive lean behavior and improve customer satisfaction.

• Own the data & analytics strategy for logistics-architect data models and pipelines in partnership with IT; ensure data quality, lineage, and governance.

• Build analytics products and self-service dashboards using SQL, Python/R, Power BI, Tableau to deliver insights on cost, service, productivity, inventory, capacity, and transportation performance.

• Enable predictive and prescriptive analytics (forecasting, what-if modeling, optimization) for network planning, inventory positioning, transportation sourcing, and DC operations.

Compliance, Risk, and Security

• Develop data architecture and system changes to ensure compliance with U.S. export control laws, trade compliance, data privacy, SOX (as applicable), and hazardous materials handling requirements.

• Proactively identify and mitigate operational, cyber, and regulatory risks across engineering, systems, and analytics programs.

You Must Have

• Bachelor's degree in Industrial Engineering, Supply Chain, Business, Information Systems, Data Science or related technical discipline.

• 8+ years of progressive people and subject matter leadership in data science, systems engineering, and/or logistics/industrial engineering and/or logistics systems and analytics, including management of multi-site/global teams.

• Demonstrated expertise in:

• Optimizing logistics operations by interpreting logistics data and influencing process and systems improvement with leadership.

• Building and iterating logistics data from KPIs to dashboards to automated systems (SaaS).

• ERP/WMS/TMS implementation and integration in complex environments.

• Analytics (SQL, Python/R) and BI (Power BI, Tableau) for operational decision-making.

• Proficiency with MS Project, MS Office; experience with simulation and network modeling tools (e.g., Coupa Supply Chain Design & Planning formerly LLamasoft, AnyLogistix, Optilogic, or equivalent); and experience implementing or customizing TMS solutions (SAP, Oracle, BlueYonder, etc).

We Value (Preferred)

• Master's degree (MBA, Engineering, Supply Chain, or related field).

• Experience in aerospace or other high-complexity, global supply chains.

• Strong stakeholder management, executive communication, and change leadership.

• Proven ability to standardize processes, scale best practices, and sustain results in fast-paced, evolving environments.

• Startup-up experience (building from the basics)

"Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status."

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