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Fenner Precision Polymer (Fenner PRP) seeks a Senior BI Architect to shape data and analytics strategy, guiding governance, scalability, and self-service analytics across the organization. You will drive architecture, data modeling, and reporting, leveraging Azure, Databricks, and Power BI to deliver actionable insights.
You will mentor the BI team, establish standards, and partner with IT, cybersecurity, and business leads to ensure reliable data delivery and value across functions.
Fenner Precision Polymer (Fenner PRP) is a global manufacturing provider of specialized and material-driven solutions that help our customers succeed. We have over 1,000+ employees in US, UK, China and Italy.
People -Believing people are drivers of energy and progress, the organization is built on a human-centered vision.
Profit -Committed to balancing growth, profitability, and responsibility, the organization pursues sustainable development across its businesses.
Planet -Aware of climate change, resource depletion, and biodiversity loss, the organization works to reduce its environmental footprint.
At Fenner Precision Polymers, a Michelin Group company, we’re committed to delivering high-performance solutions that power critical applications across industries. Our culture is built on safety, innovation, continuous improvement, and a shared dedication to excellence. We value teamwork, adaptability, and a positive work environment where every employee plays a vital role in our success.
At Fenner, you’re more than just an employee, you’re part of a global team that values your voice, supports your growth, and celebrates your contributions. We offer:
Be part of a company that values your contribution and invests in your future.
The Senior Business Intelligence Architect is a hands‑on technical leader who will shape Fenner’s data and analytics strategy and help reinforce the 3 pillars of Fenner’s Digital Transformation – Tools+Data+People. This role will turn complex business challenges into scalable solutions using Azure, Databricks, Power BI, automation, and AI, while setting technical direction, strengthening data governance, and coaching the BI team.