Sr Data Engineering & Analytics Director

McLane Company, Inc.; Temple (TX); Hybrid; USD 160,000 - 230,000; Full time

Benefits offered by this job

Day 1 Benefits: medical, dental, and &

Paid time off begins day one

Pet insurance

Maternity/paternity leave

Employee assistance programs

Discount programs

Tuition reimbursement program

Job summary

McLane Company, Inc. is seeking a Senior Director of Data Engineering & Analytics to lead end-to-end architecture, migration, governance and team building for a cloud-native lakehouse on GCP/BigQuery. You will architect a governed Looker BI layer and drive AI copilots to boost velocity and reliability.

You will also develop ML-ready data foundations and partner with data science to scale production models, while hiring and mentoring a high-performing analytics organization.

Qualifications

• Bachelor’s degree in CS/Engineering/IS.
• 10+ years in data engineering/architecture; 6+ years leading enterprise data teams.
• Proven cloud data platform experience (GCP/BigQuery preferred; Azure/AWS/Snowflake/Databricks).
• Track record shipping a cloud data lakehouse or modern platform at enterprise scale.
• Experience with Looker or Power BI and governed self-service reporting.

Responsibilities

• Own the data platform roadmap and migrate to a modern GCP/BigQuery lakehouse.
• Build a governed BI architecture with Looker semantic layer and self-service analytics.
• Introduce AI copilots and automation to raise velocity and reliability.
• Create ML-ready data foundation and collaborate with data science to productionize models.
• Hire, mentor, and lead a high-performing data engineering and analytics organization.

Skills

Data engineering

Data architecture

Cloud platforms

Leadership

DataOps

AI/ML data foundation

Governed BI / semantic layer

Education

Bachelor’s Degree in Computer Science or Engineering or Information Systems

Tools

BigQuery

Looker

Power BI

Databricks

Snowflake

Azure / AWS

Job description

Job Description - Sr Data Engineering & Analytics Director (JR111206)

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. 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.

McLane is building a cloud-native lakehouse on Google Cloud Platform (BigQuery) as the single source of truth for analytics and AI/ML across a supply chain business managing 50,000+ SKUs for the nation's leading retailers and restaurants. We're hiring a Senior Director, Data Engineering & Analytics to lead that build end to end architecture, migration, governance, and team.

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 or Austin, 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.
• Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

What You’ll Do

• Own the data platform roadmap — architect and lead the migration from legacy on-prem warehousing to a modern GCP/BigQuery lakehouse.
• Build a governed BI architecture in Looker with a certified semantic layer and conversational, self-service analytics.
• Bring AI copilots and agentic automation into the engineering practice to raise velocity and reliability.
• Build the AI/ML data foundation — ML-ready datasets and feature engineering — partnering with data science to scale production models.
• Hire, mentor, and lead a high-performing data engineering and analytics organization.

What We’re Looking For

• Bachelor’s Degree in computer science, Engineering, Information Systems.
• 10+ years in data engineering or architecture, including 6+ years leading enterprise data platform teams.
• Deep hands-on expertise with cloud data platforms (GCP/BigQuery preferred; Azure, AWS, Snowflake, or Databricks).
• A track record shipping a cloud data lakehouse or modern data platform at enterprise scale.
• Experience with modern BI/semantic layers (Looker or Power BI) and governed self-service reporting.
• Strong DataOps fundamentals and a history of leading legacy-to-cloud migrations with executive-level communication.

Fit the following? We want you here!

• Teamwork oriented
• Organized
• 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.

For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/