Director of Data Management

WHO WE ARE

ODW Logistics is a people-focused and customer-driven third-party logistics (3PL) provider committed to delivering seamless end-to-end supply chain solutions. Our extensive range of services includes supply chain design and innovation, warehousing, efficient distribution and fulfillment, freight brokerage, transportation management, and specialized e-commerce fulfillment solutions.

POSITION SUMMARY

The Director of Data Management will lead the design, build, and execution of the company’s enterprise data management strategy, transforming fragmented, ad hoc reporting and siloed data into a single, governed, cloud based data platform that enables trusted analytics, self service reporting, APIs, and AI ready datasets.

This role is not theoretical. We are seeking a hands on leader who has successfully built and operationalized enterprise data platforms before, ideally in logistics, supply chain, or similarly complex operational environments,

The Director will own architecture, governance, delivery, and adoption, while actively contributing to the design, build, and guidance of a modern, scalable data platform using widely adopted cloud and data technologies.

Key Outcomes This Role Owns

Within 12–24 months, this leader will be accountable for:

• Establishing a single source of truth for enterprise analytical and historical data
• Eliminating high‑risk, spreadsheet‑based reporting solutions
• Delivering consistent, trusted metrics across business units
• Enabling self‑service analytics, APIs, and a unified data access experience
• Creating a scalable foundation for AI, advanced analytics, and automation use cases
• Standing up practical, sustainable data governance that enables speed rather than bureaucracy

Core Responsibilities

Strategy & Architecture (Hands‑On)

• Translate the enterprise data vision into a practical, phased architecture roadmap
• Design and evolve a cloud‑based, analytics‑ready data platform (e.g., lakehouse or modern data warehouse patterns)
• Define ingestion, transformation, storage, semantic, and access layers
• Ensure architecture supports both real‑time and historical analytical needs
• Make pragmatic build‑vs‑buy decisions while maintaining architectural integrity

Delivery & Execution

• Lead the initial platform buildout personally, then scale the team over time
• Oversee ingestion pipelines from core operational systems (WMS, TMS, Finance, HR, etc.)
• Drive standardization of definitions, metrics, and data contracts
• Partner with BI, application, and integration teams to ensure end‑to‑end delivery
• Deliver tangible business value early—avoiding long, “big bang” programs

Governance & Trust

• Establish lightweight, enforceable data governance
• Define ownership, stewardship, and accountability for data domains
• Implement data quality, lineage, and metadata practices that build confidence
• Ensure role‑based access, security, and compliance are built in by design, not bolted on

Enablement & Adoption

• Shift the organization from IT‑built reports to consumer‑enabled analytics
• Remove business logic from the reporting layer and centralize it in governed data models
• Enable consistent language across the enterprise (customer, order, load, facility, etc.)
• Partner with operations, finance, and executive leadership to drive adoption and outcomes

Team & Leadership

• Build and lead a small, high‑caliber data management team
• Set standards, mentor talent, and establish a strong delivery culture
• Act as the company’s senior authority on data management and analytics architecture
• Influence executives through clarity, outcomes, and credibility—not presentations

Required Experience & Background

Must Have

• 10+ years in data management, analytics, or data platform leadership
• Direct, hands‑on experience building and operating enterprise data platforms
• Proven success consolidating fragmented data environments into a unified platform
• Strong experience with modern cloud‑based data ecosystems, including:
• Cloud data warehouses or lakehouse platforms
• Object storage technologies
• Data ingestion, transformation, orchestration, and modeling tools
• Experience designing governed, scalable enterprise data architectures
• Ability to move comfortably between architecture, hands‑on delivery, and executive discussion

Strongly Preferred

• Experience in logistics, supply chain, transportation, warehousing, or complex operational data domains
• Experience enabling enterprise analytics platforms (e.g., Qlik, Power BI, Tableau, or similar)
• Experience supporting API‑driven or programmatic data access
• Experience laying foundations for AI, machine learning, or advanced analytics
• Experience operating in environments with decentralized teams and legacy systems

Physical & Mental Requirements

While performing the duties of this job, the employee requires the ability to:

• Hear, read and comprehend, write and communicate
• Continuously sit, type and perform repetitive wrist motion
• Occasionally stand, walk, bend, squat/kneel, twist/turn or reach
• Focus (with or without corrective lenses) to see close and distant, along with depth perception capabilities
• Spend 25% of time on the warehouse floor, interacting with clients

The physical demands herein are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

OUR VALUES 

Pillared on our core values, we strive for collective growth and reaching our highest potential. We are dedicated to helping our teammates experience fulfillment through their individual strengths and innovative ideas.  

Respect | Give and it will be given.                                        

We treat others as we want to be treated. We cannot control events, but we can control our response. We build respect through honesty, fairness, and integrity. 

Trust | Earned over time. 

We do what we say we will do. We are clear, direct, and honest. We seek to understand and be understood. 

Team | Accomplish more together. 

We work hard toward a common goal. We desire to make everyone successful. We achieve the best results as a team. 

Opportunity | Realize your potential. 

We believe all people have significance and potential. We understand work and life are integrated and we value both. We strive to make an impact in the world around us. 

EQUAL OPPORTUNITY EMPLOYER

ODW Logistics is an equal opportunity employer and prohibits discrimination and harassment of any kind. All employment decisions at ODW Logistics are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. ODW Logistics will not tolerate discrimination or harassment based on any of these characteristics.

INDSA

#LI-JP1