Senior Manager Insights & Business Metrics

Sunset•Livonia, MI

14d•Onsite

About The Position

Mastronardi Produce is seeking a Senior Manager of Insights & Business Metrics for its Supply Chain Engineering department at its corporate location in Livonia, Michigan. This player-coach role owns the network’s KPI, dashboard, and performance-analytics strategy. The Senior Manager personally uses Anthropic’s Claude platform—including Claude.ai, Claude Code, Claude Skills, and the Model Context Protocol—as the primary toolkit for designing, building, and improving KPI dashboards, site scorecards, and predictive-compliance models, while leading a distributed team of Industrial Engineer – DC Performance & Reliability positions. The role connects distribution-center performance data with executive decision-making by establishing measurable performance standards, building AI-enabled tools to make metrics visible in near-real time, and translating network-wide trends into recommendations for the VP, Supply Chain Engineering and executive leadership. The position leads recurring DC metrics compliance reviews, supports root-cause analysis and corrective actions, and serves as an internal consultant on AI-enabled analytics across Operations, IT, Finance, and Sales. The successful candidate will uphold Mastronardi Produce’s PRIDE values: Passion, Respect, Innovation, Drive, and Excellence. Accommodation is available for employees with disabilities or documented medical needs through the company’s accommodation process.

Requirements

Bachelor’s degree in Supply Chain Management, Industrial Engineering, Data Science, Operations Research, Computer Science, or a closely related discipline.
5–7 years of progressive experience in supply chain analytics, business intelligence, or operations research, including some team-lead or project-leadership experience.
At least 2 years of hands-on experience designing and deploying AI-enabled or LLM-powered analytics applications in a business environment.
Demonstrable hands-on expertise using Anthropic’s Claude platform as a primary analytics tool, including Claude Code, Claude Skills, and MCP.
Strong understanding of prompt engineering, context engineering, agentic workflow design, and responsible-AI or guardrail design.
Experience building end-to-end AI-powered dashboards and internal tools, rather than only using AI chat interfaces.
Proficiency in Python and SQL for data analysis and dashboard or report development.
Experience building and maintaining BI dashboards with Power BI, Tableau, or Looker and integrating them with AI-generated narrative insights.
Working knowledge of KPI framework design, statistical process control, and anomaly-detection techniques.
Familiarity with version control (Git/GitHub) and modern software-development practices.
Demonstrated experience hiring, coaching, and developing analytical or engineering talent.
Ability to set technical and analytical standards for a distributed, multi-site team without daily direct oversight of each site.
Experience partnering with peer Senior Manager-level leaders on cross-functional initiatives and aligning competing priorities.
Working knowledge of distribution-center operations, WMS/MES systems, and network performance management.
Ability to translate supply-chain business problems into structured analytical and technical solutions.
Demonstrated track record of delivering measurable performance improvement through metrics and analytics.
Strong people leadership, analytical rigor, systems thinking, business acumen, communication, ownership and delivery skills, AI-native orientation, and responsible-AI judgment.
Ability to apply data-privacy practices, recognize model limitations, and use human-in-the-loop controls.

Nice To Haves

Master’s degree.
Experience integrating Claude or other LLMs with enterprise ERP platforms and supply-chain execution systems such as WMS, MES, or TMS.
Experience with advanced planning platforms such as o9 Solutions, Blue Yonder, Oracle Demantra, Kinaxis, or RapidResponse.
Experience in fresh produce, food and beverage, perishables, or CPG industries.
APICS CSCP, CPIM, or CLTD certification, or Six Sigma Green Belt or higher.
Experience deploying analytics applications in Azure, AWS, or GCP cloud environments.

Responsibilities

Own the end-to-end design of network KPI frameworks, including labor productivity, throughput, order accuracy, on-time performance, and inventory accuracy, for recurring DC metrics compliance reviews.
Use Claude.ai, Claude Code, Claude Skills, and the Anthropic API to design, prototype, and maintain dashboards, scorecards, and automated reporting.
Architect integrations between analytics tools and WMS (MPL Floor), MES, and the enterprise data warehouse.
Build and maintain reusable Claude Skills for recurring analytics workflows, including site scorecards, root-cause pattern detection, corrective-action tracking, and network benchmarking.
Develop anomaly detection and predictive compliance-risk scoring to identify emerging DC performance issues.
Establish consistent data-governance standards and KPI definitions across distribution centers and dashboards.
Lead, coach, and develop 2–3 distributed Industrial Engineer – DC Performance & Reliability positions, with potential to grow the team as the network scales.
Set the KPI definitions, dashboard requirements, and site-scorecard standards used by the team in reviews with Site GMs.
Review the team’s root-cause analyses and corrective-action plans for rigor and consistency before escalation.
Establish onboarding, training, and career-development pathways, including guidance on AI-assisted analytics.
Conduct regular one-on-ones and portfolio reviews to monitor site trends, corrective-action closure, and team members’ professional development.
Translate network KPI trends, root-cause findings, and corrective-action status into executive-ready briefings for the VP, Supply Chain Engineering and cross-functional leadership.
Coordinate KPI and dashboard work with the IT systems implementation team and Supply Chain Engineering Project Manager, aligning it with WMS/MES rollout sequencing and process-mapping initiatives.
Present performance trends and resourcing or prioritization recommendations to the VP and executive leadership team.
Serve as an internal subject-matter expert and consultant on AI-enabled analytics for Operations, IT, Finance, and Sales stakeholders.
Maintain hands-on fluency with Claude and personally prototype and validate analytics capabilities before scaling them to the team.
Champion responsible-AI practices, including data privacy, awareness of model limitations, and human-in-the-loop review.
Evaluate and pilot AI-enabled analytics techniques, including agentic workflows, predictive modeling, and natural-language reporting.
Mentor team members and peer analysts on LLM-assisted development and responsible AI use.
Ensure each network performance metric has a clear owner, defined calculation, and associated decision.