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👽Other

Director, AI, Data and Developer Enablement

Meijer · Grand Rapids, MI
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Grand Rapids, MI
languages
java, python, scala
tools
kafka, spark
> stack
javapythonscalakafkasparkpytorchtensorflow
> description

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. 

Apply at Meijer →