Director, AI, Data and Developer Enablement

Posted Yesterday
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Grand Rapids, MI, USA
In-Office
Expert/Leader
eCommerce • Retail • Sales
The Role
Lead design and delivery of data engineering, analytics, and AI/automation solutions. Oversee data architecture, teams, budgets, and compliance. Drive enterprise quality through test automation and DORA metrics, ensure ITGC/SOX readiness, partner cross-functionally, and improve engineering delivery and production stability.
Summary Generated by Built In

As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!

 

Meijer Rewards

  • Weekly pay

  • Scheduling flexibility

  • Paid parental leave 

  • Paid education assistance

  • Team member discount

  • Development programs for advancement and career growth

 

Please review the job profile below and apply today!

Position will follow our hybrid schedule: Monday-Wednesday in Grand Rapids MI Corporate office, Thursday-Friday remote.


 

What You'll be Doing:

Data Engineering, Analytics & AI/Automation 

  • Lead the design, development, and implementation of data engineering, analytics, and AI/automation solutions to support business objectives. 

  • Oversee data architecture, ensuring data integrity, security, and scalability. 

  • Manage and mentor a team of data engineers, data scientists, and analysts, fostering a culture of collaboration and continuous improvement. 

  • Collaborate with cross-functional teams to identify data needs and develop strategies to leverage data for business insights and decision-making. 

  • Drive adoption of best practices in data management, analytics, and AI/automation. 

  • Ensure compliance with data governance policies and regulations. 

  • Stay current with industry trends and emerging technologies in data engineering, analytics, and AI/automation. 

  • Develop and manage budgets, resources, and timelines for data projects. 

  • Ensure all teams follow engineering and IT standards for change controls and IT practices for production systems. 

Enterprise Quality Adoption 

  • Own the enterprise quality strategy — embed quality into the software development lifecycle, not onto it. 

  • Drive adoption of test automation, shift-left testing, and continuous quality practices across all engineering teams. 

  • Define and enforce quality standards, frameworks, and tooling across the portfolio; ensure consistent adoption at scale. 

  • Partner with engineering and product teams to establish quality gates that protect production stability without slowing delivery. 

  • Report on quality health across domains, with clear visibility into defect rates, test coverage, and release readiness. 

Engineering Delivery Performance — DORA Metrics 

  • Establish DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, Mean Time to Recovery) as the standard measurement framework for engineering delivery health. 

  • Own the baseline, targets, and reporting cadence for DORA metrics across teams; surface trends to senior leadership with clear business context. 

  • Use DORA data to identify delivery bottlenecks, prioritize platform and process investments, and demonstrate improvement over time. 

  • Connect engineering performance to business outcomes — faster delivery and lower failure rates translate directly to customer experience and cost efficiency at Meijer's scale. 

  • Partner with DevOps and platform teams to build the tooling and observability infrastructure required to measure and improve DORA outcomes. 

IT General Controls (ITGC) 

  • Accountable for ITGC compliance across the technology domains in scope — change management, access controls, computer operations, and program development controls. 

  • Partner with Internal Audit, Compliance, and Finance to ensure controls are designed, operating effectively, and audit-ready. 

  • Own remediation of ITGC deficiencies; drive root cause analysis and sustainable control improvements rather than point-in-time fixes. 

  • Ensure all teams understand and operate within ITGC requirements as a standard part of the delivery process — not a compliance afterthought. 

  • Maintain documentation, evidence, and control narratives sufficient to support SOX and internal audit cycles. 

What You Bring with You (Qualifications):

Education 

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Master's degree preferred. 

Experience 

  • 10+ years of experience in data engineering, analytics, and AI/automation, with at least 5 years in a leadership role. 

  • Proven experience establishing and scaling enterprise quality practices across large engineering organizations. 

  • Hands-on experience implementing DORA metrics programs and using delivery performance data to drive engineering improvement. 

  • Demonstrated experience with ITGC compliance, SOX controls, or equivalent control frameworks in an enterprise environment. 

  • Track record of managing multiple complex programs simultaneously in a fast-paced, high-scale environment. 

Technical Skills 

  • Strong knowledge of data architecture, data warehousing, ETL processes, and data modeling. 

  • Proficiency in Python, Java, or Scala; experience with big data technologies including Spark, Kafka, and Databricks. 

  • Expertise in machine learning and AI frameworks (TensorFlow, PyTorch, scikit-learn or equivalent). 

  • Familiarity with CI/CD tooling, test automation frameworks, and observability platforms used to track delivery and quality metrics. 

  • Working knowledge of ITGC control domains: logical access, change management, computer operations, and program development. 

Leadership & Communication 

  • Strong communication and interpersonal skills; able to collaborate with and influence stakeholders at all levels. 

  • Speaks the language of business outcomes — connects technology performance to cost, revenue, and customer experience. 

  • Proven ability to manage multiple priorities and drive accountability across matrixed teams. 

Skills Required

  • Bachelor's degree in Computer Science, IT, Data Science, or related field
  • Master's degree
  • 10+ years of experience in data engineering, analytics, and AI/automation
  • 5+ years in leadership or management role
  • Proven experience establishing and scaling enterprise quality practices
  • Hands-on experience implementing DORA metrics programs
  • Demonstrated experience with ITGC compliance, SOX controls, or equivalent frameworks
  • Strong knowledge of data architecture, data warehousing, ETL processes, and data modeling
  • Proficiency in Python, Java, or Scala
  • Experience with big data technologies including Spark, Kafka, and Databricks
  • Expertise in machine learning and AI frameworks (TensorFlow, PyTorch, scikit-learn or equivalent)
  • Familiarity with CI/CD tooling, test automation frameworks, and observability platforms
  • Working knowledge of ITGC control domains: logical access, change management, computer operations, program development
  • Strong communication and interpersonal skills; ability to influence stakeholders
  • Track record managing multiple complex programs simultaneously at scale

Meijer Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Meijer and has not been reviewed or approved by Meijer.

  • Healthcare Strength Healthcare coverage is described as a meaningful part of the total package, with medical, dental, and vision options and additional supplemental coverage. The availability of wellness programming and online doctor visits further strengthens the health offering.
  • Retirement Support Retirement offerings are positioned as solid, including 401(k) access and Roth 401(k) options that some find valuable. Union-negotiated structures are also associated with above-average pay and benefits in certain service roles.
  • Leave & Time Off Breadth Time-off benefits are a recurring bright spot, including paid time off, vacation time, and holiday pay that can accumulate over time. Paid parental leave is also part of the package, supporting work-life needs alongside PTO.

Meijer Insights

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The Company
HQ: Grand Rapids, Michigan
26,032 Employees
Year Founded: 1934

What We Do

It takes guts to start a business during the Great Depression. And it takes vision to keep it going. Our founder, Hendrik Meijer, opened Thrifty Acres in 1934. Almost thirty years later, his son, Fred, pioneered the world’s first ever supercenter – setting the table for who we are today: a multi-billion-dollar household name in retail. Of course, we’re not done. Not by a long shot. We recently launched the nation’s largest grocery home-delivery service – reinventing the business of grocery shopping … again. A lot has changed over the years, except for one thing; we’re still family owned. And that sense of family runs deep in everything we do. It’s the difference between selling a product and serving a community, and it’s the reason we’ve given back over $30 million to local food pantries in the last ten years. So, if you appreciate the pioneering spirit of Meijer, we’d like to connect with you. Because the bigger our family, the better

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