Senior Manager, Data Analytics

Rockwell Automation • Milwaukee, WI

1d • Hybrid

About The Position

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description The Senior Manager, Data Analytics leads the global Supply Chain analytics function to deliver trusted KPI reporting, executive insights, and AI‑enabled decision support across the end‑to‑end supply chain. This role blends people leadership, hands‑on analytics expertise, and strategic influence—owning the analytics roadmap and ongoing prioritization, building scalable Power BI and Power Platform solutions, and partnering closely with Supply Chain leaders and IT to turn data into insight, action, and value. You will work a hybrid schedule at our facility in Milwaukee, WI and report to the Senior Director, Digital Transformation.

Requirements

• Bachelor's Degree or Equivalent Years of Relevant Work Experience.
• Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
• Typically requires a minimum of 8 years management experience.
• Bachelor's degree in engineering, data science, or business‑related field (or equivalent experience).
• 8+ years of experience in data analytics, BI, or data‑driven roles with progressive responsibility, including people leadership.
• Strong experience building and operationalizing Power BI dashboards, metrics, and reporting for business stakeholders.
• Working knowledge of modern data environments and transformations (e.g., SQL‑based data preparation, curated datasets, data pipelines), including exposure to platforms such as Databricks.
• Proven ability to communicate complex data insights clearly and influence decisions with stakeholders at multiple levels.
• Supply Chain analytics experience (planning, inventory, sourcing, logistics, distribution, cost‑to‑serve, etc.).

Nice To Haves

• Experience enabling self‑service analytics and/or standard KPI frameworks across global organizations.
• Familiarity with Microsoft Power Platform beyond Power BI (Power Apps and Power Automate) to streamline analytics workflows.
• Experience leveraging AI capabilities in data analytics, such as AI‑assisted insight generation, anomaly detection, intelligent alerts, automated narrative summaries, or similar applied AI use cases.

Responsibilities

• Own the analytics portfolio: Define and maintain the analytics roadmap, manage global demand intake and prioritization, and deliver a focused set of high‑value dashboards and analyses aligned to Supply Chain priorities.
• Executive partnership & influence: Translate VP‑ and Director‑level business needs into clear, actionable outcomes; act as a trusted analytics advisor to senior Supply Chain leaders.
• Deliver executive‑ready insights: Produce clear KPI narratives and decision materials for operating rhythms (e.g., weekly and monthly performance reviews), translating complex data into actionable insights.
• Global supply chain performance analytics: Drive visibility and analysis across supply chain domains (service, inventory, demand/supply performance, logistics and distribution), including root‑cause and variance analysis.
• Standardize KPIs and governance: Establish and maintain KPI definitions, data quality controls, refresh reliability, and documentation to ensure consistent and trusted global reporting.
• Scale Power BI and self‑service analytics: Lead development of Power BI semantic models, dashboards, and reporting standards; enable self‑service through templates, training, and governance.
• Partner on modern data platforms: Work closely with IT and data engineering teams to translate analytics requirements into curated, analytics‑ready datasets using modern data platforms (e.g., Databricks).
• Apply AI to analytics (practical, business‑first): Identify and implement AI‑enabled analytics capabilities such as anomaly detection, intelligent alerts, automated insight generation, and guided root‑cause exploration, focused on measurable business impact.
• Govern data, BI and AI usage: Develop and maintain data and analytics governance practices across ISC, including appropriate use of AI within analytics workflows.
• Lead and develop talent: Lead, coach, and develop a high‑performing global team of analysts and BI developers; own performance management, capability building, and engagement.
• Drive adoption and value realization: Influence across functions to ensure analytics products are adopted, understood, and delivering tangible business value; reduce manual reporting through automation and rationalization.

Benefits

• Health Insurance including Medical, Dental and Vision
• 401k
• Paid Time off
• Parental and Caregiver Leave
• Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees