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Data Engineering & Analytics Manager

McLane Company, Inc
life insurance, vision insurance, paid time off, tuition reimbursement, 401(k), profit sharing
United States, Texas, Austin
Feb 20, 2026
Description

Take your career further with McLane!

McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.

At McLane, data powers every decision-from demand planning to lastmile delivery. As Manager, Data Engineering & Analytics, you'll lead the teams and platforms that transform complex supplychain data into trusted, AIready products used across the enterprise. This role blends people leadership, modern cloud data architecture, and realworld operational impact at scale. The role oversees teams of analysts and developers who work across multiple analytics platforms - including Microsoft Fabric, Power BI, IBM Cognos, Google Cloud Platform (GCP), Looker Core, Tableau, and Alteryx.

This is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.

Benefits you can count on:

  • Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
  • Paid time off begins day one.
  • 401(k) Profit Sharing Plan after 90 days.
  • Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

What You'll Do

  • Lead, coach, and develop a highperforming data engineering organization, fostering accountability, inclusion, and continuous improvement
  • Own the architecture and roadmap for enterprise cloud data platforms (Lakehouse, data warehouse, streaming)
  • Deliver scalable, domainoriented data products with clear ownership, SLAs, and measurable business value
  • Develop and maintain high quality dashboards, reports, and interactive visualizations using Power BI, Looker, Tableau, and Cognos, including BI + AI capabilities.
  • Enable analytics, BI, AI/ML, and GenAI use cases across planning, inventory, logistics, manufacturing, procurement, and fulfillment
  • Integrate complex enterprise data sources including ERP, WMS, TMS, OMS, EDI, IoT, and partner feeds
  • Partner with Analytics and Data Science teams on feature pipelines, experimentation, and production inference
  • Drive data governance, quality, security, privacy, and compliance (SOX, GDPR/CCPA)
  • Own reliability, observability, incident management, and runthebusiness operations
  • Apply FinOps discipline to optimize platform cost, performance, and scalability

What We're Looking For

  • Bachelor's degree in computer science, engineering, or a related field
  • 5+ years of data engineering and analytics experience and 3+ years leading engineers or enterprisescale technical programs
  • Proven delivery of cloud data platforms supporting analytics and operational workloads
  • Strong handson expertise with SQL and Python or Scala, plus CI/CD and infrastructureascode
  • Experience with modern data technologies (GCP, Fabric, Databricks, Snowflake, Synapse, dbt, Airflow/ADF, Kafka, Delta/Parquet/Iceberg)
  • Extensive proficiency in LookML and Looker Core for building semantic models and transforming data.
  • Demonstrated experience with data governance, lineage, security, and quality frameworks
  • Practical supplychain domain fluency across multiple areas (planning, inventory, logistics, manufacturing, procurement)
  • Familiarity with MDM, semantic layers, governed BI, and ML/GenAI enablement
  • This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

Fit the following? We want you here!

  • Teamwork oriented
  • Organized
  • Problem solver
  • Detailed

Our roadmap. Our story.

We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.

All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Primary Location : United States-Texas-Austin
Work Locations :
Austin Tech Hub
3800 Quickhill Road
Austin 78728
Business Unit : IS970
Job : Information Technology
Schedule : Full-time
Shift : 1st - Day
Employee Status : Regular
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