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

You will responsible for ensuring data‑driven and AI‑ready decision-making across Lifecycle Services by leading Business Intelligence (BI) delivery while establishing data governance, quality, and standards. You will be a strategic partner to LCS leaders. You will translate needs into trusted insights, scalable analytics, and governed data assets.

You will guide governance and best practices without relying on direct authority.

You will report to the Director, LCS Operational Excellence.

You will work hybrid in Katowice or Gdańsk in Poland.

Your Responsibilities:

• Business Intelligence Leadership
  • Lead the delivery of BI solutions that provide applicable insights across LCS operations, finance, delivery, quality, and performance management.
  • Work with partners to understand priorities, translate requirements into analytics and AI‑enabled insight opportunities, and prioritize BI demand.
  • Increase adoption of standardized reporting, and self‑service analytics to maximize value from existing BI platforms.
  • Ensure insights are in consideration of priorities and promote proactive, data‑driven decision-making across LCS.
  • Identify opportunities where advanced analytics, predictive insights, or AI‑assisted decision support can enhance outcomes.
• Data Governance, Quality & AI Readiness
  • Define LCS data governance frameworks, including data ownership, stewardship, standards, and quality controls.
  • Establish definitions, metrics, and master data practices to improve trust in data.
  • Ensure data foundations (quality, lineage, security, access, and documentation) are in place to support AI readiness and responsible AI use.
  • Partner with enterprise data, IT, cybersecurity, compliance, and AI governance teams to ensure agreement on corporate standards.
  • Monitor and improve data quality, integrity, and consistency across different LCS data sources, recognizing that AI success is directly dependent on high‑quality, well‑governed data.
  • Support AI use case prioritization by assessing data feasibility (availability and accuracy) for use cases under consideration.
• Strategy, Standards & Enablement
  • Be a LCS data and analytics subject‑matter expert, guiding best practices for reporting, visualization, data governance, and AI‑adjacent analytics capabilities.
  • Support integration projects, system changes, and new digital capabilities by ensuring data readiness, governance, and reporting agreement.
  • Collaborate with AI, digital, and automation projects to ensure LCS data is prepared for AI models, copilots, and advanced analytics use cases.
  • Contribute to the LCS Operational Excellence strategy by advocating analytics, governance, and AI‑ready data practices into business processes.
• People & Partners Leadership
  • Lead a team of BI managers, data engineers, scientists and analysts (combination of direct and indirect), promoting a culture of collaboration, curiosity, and continuous improvement.
  • Be a trusted advisor to senior leaders, communicating insights, risks, data limitations, and AI readiness considerations.
  • Educate and influence partners on the importance of data quality, governance, and discipline as critical enablers of AI success.
  • Build cross‑functional relationships across LCS, IT, Finance, Quality, Operations, and Digital/AI teams.

The Essentials - You Will Have:

• Background in Business Intelligence, analytics, and data visualization tools (e.g., Power BI or equivalent).
• Demonstrated experience with data governance, data quality management, and data standards in complex organizations.
• Understanding of AI and advanced analytics concepts, including how data quality, structure, and governance impact model performance and reliability.
• Experience working with multiple data sources, integrating different systems, and addressing data consistency challenges.
• Translate business questions into analytical and AI‑enabled insight solutions.
• Experience partnering with senior partners to improve adoption of analytics and AI‑informed decision-making.
• 3+ years of experience balancing tactical reporting needs with long‑term strategic analytics, governance, and AI readiness projects.
• Experienced people manager, both direct and indirect.

The Preferred - You Might Also Have:

• Familiarity with the LCS business
• Familiarity with operational, services, or industrial business models
• Knowledge of an additional foreign language

What We Offer:

Our benefits package includes …

• Volunteer Paid Time off available after 6 months of employment for eligible employees
• Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation
• On-demand digital course library for professional development
• Comprehensive mindfulness programs with a premium membership to Calm
• Employee Assistance Program
• Personalized wellbeing programs through our OnTrack program

... and other local benefits!

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

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Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.