Sr Data Engineering & Analytics Director
Sep 22, 2026 Temple, TX
About us
McLane Company, Inc. is one of the largest supply chain services leaders, providing grocery and foodservice solutions.
- Size: 10,000+ employees
- Industry: Food & Beverage
Job 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. 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:
What You'll Do
What We're Looking For
Fit the following? We want you here!
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/
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.
- 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
- 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
- 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.
For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/
Additional Information
- Posted: Sep 22, 2026