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.