Director, Data Analytics & Governance

Director of Business Strategy & Data Analytics

Are you inspired by challenging the status quo? Do you thrive in collaborative environments that results? If so, Gates could be for you.

Gates is a leading manufacturer of application‑specific fluid power and power transmission solutions. We push the boundaries of material science to engineer solutions that continually exceed customer expectations.

Let's simplify it, think belts and hoses. Found in motorcycles, conveyor belts, cars, tractors, blenders, vacuum cleaners, bicycles, & 3D printers just to name a few. Because why not do it all?

The Director of Business Strategy & Data Analytics is a strategic, cross‑functional leader responsible for connecting enterprise data capabilities with the company's business strategy and long‑term value creation. In this dual‑capacity role, the director partners closely with executive leadership, commercial teams, operations, supply chain, product line management, finance, and IT to translate business objectives into data‑driven strategies that accelerate growth, strengthen operational performance, and enhance customer and supplier experiences.

This role sets the vision for enterprise master data governance, advanced analytics, and data‑enabled transformation. The director ensures data is a trusted asset and leverages insights, predictive analytics, and business intelligence to influence strategic planning, guide investment decisions, and support the company's competitive positioning within the industrial manufacturing sector.

• Define and lead the master data governance operating model for key enterprise domains (customer, product, supplier, material, asset).
• Partner directly with business process owners to ensure data accuracy, consistency, and reliability across commercial, supply chain, finance, and manufacturing operations.
• Oversee data quality programs, stewardship networks, and policies that improve global data standards, reduce operational friction, and support digital transformation initiatives.

• Lead teams that deliver actionable insights, predictive analytics, dashboards, and modelling solutions that support strategic and operational decision‑making.
• Collaborate with business leaders to define analytic use cases—such as demand forecasting, inventory optimisation, pricing analytics, customer segmentation, procurement efficiency, and operational performance management.
• Drive adoption of self‑service analytics across business teams and cultivate a culture of data fluency and fact‑based decision‑making.

• Oversee the enterprise data environment, including data integration, data pipelines, MDM hubs, data warehouse/lake platforms, and analytics tools.
• Ensure the organization's data architecture is scalable, secure, and aligned with current and future business needs, including Industry 4.0, IoT/OT data integration, and AI/ML initiatives in manufacturing operations.
• Evaluate and implement leading tools and platforms (e.g., SAP MDG, Informatica, Snowflake, Databricks, Teradata, Power BI, AI/ML frameworks) to strengthen enterprise insight capabilities and operational efficiency.
• Ensure compliance with regulatory, privacy and security requirements (GDPR, CCPA, etc.).
• Develop governance controls that reduce business risk, maintain audit readiness, and protect critical operational and customer data.
• Monitor emerging trends in manufacturing analytics, AI/ML, supply chain digitisation, and data governance.
• Lead proof‑of‑value experiments and pilot programmes focused on improving manufacturing efficiency, product quality and commercial performance through data‑driven innovation.

• Serve as a strategic advisor to business unit leaders and the executive team, aligning data strategy with the organization's long‑term business plan and operational priorities.
• Identify and champion high‑impact opportunities where data, analytics and digital capabilities can drive revenue growth, customer…