Data Engineering & Analytics Manager
McLane Company, Inc., Austin, TX, United States
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 last‑mile delivery. As Manager, Data Engineering & Analytics, you’ll lead the teams and platforms that transform complex supply‑chain data into trusted, AI‑ready products used across the enterprise. This role blends people leadership, modern cloud data architecture, and real‑world 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 high‑performing 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, domain‑oriented 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 run‑the‑business 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 enterprise‑scale technical programs
Proven delivery of cloud data platforms supporting analytics and operational workloads
Strong hands‑on expertise with SQL and Python or Scala, plus CI/CD and infrastructure‑as‑code
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 supply‑chain 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
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
Business Unit IS970
Job Information Technology
Schedule Full-time
Shift 1st - Day
Employee Status Regular
#J-18808-Ljbffr
At McLane, data powers every decision—from demand planning to last‑mile delivery. As Manager, Data Engineering & Analytics, you’ll lead the teams and platforms that transform complex supply‑chain data into trusted, AI‑ready products used across the enterprise. This role blends people leadership, modern cloud data architecture, and real‑world 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 high‑performing 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, domain‑oriented 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 run‑the‑business 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 enterprise‑scale technical programs
Proven delivery of cloud data platforms supporting analytics and operational workloads
Strong hands‑on expertise with SQL and Python or Scala, plus CI/CD and infrastructure‑as‑code
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 supply‑chain 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
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
Business Unit IS970
Job Information Technology
Schedule Full-time
Shift 1st - Day
Employee Status Regular
#J-18808-Ljbffr