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Data Analytics & Business Process Lead

Colgate-Palmolive · Overland Park, KS, US · United States · On-site

Pay: USD 86,000 – 121,000 a year

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No Relocation Assistance Offered Job Number #176083 - Overland Park, Kansas, United States Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.   The Business Process & Operations Data Leader leads a team that manages the data, workforce management, and business process testing for the Customer Experience Engagement Center. This includes accurate data collection, processing, automation and analysis with root causes in the Customer Experience Engagement Center. This position will be the expert in finding data solutions and have the business mindset to convert insights into continuous improvement opportunities for the CXEC and business stakeholders. The Team Leader develops clear KPIs in current and emerging workstreams, models optimizing strategies across the business. This position sets  targets for the team, and leads the development and management of dashboards, reporting, and data sets. This position is the Subject Matter Expert for business testing of related SAP and digital products, to include our online ordering portals.   Responsibilities: Collaborate with cross-functional teams, including all call center departments, digital product teams, regulatory/quality, IT and marketing to develop data insights and trend reporting that solves customer pain points,  pushing forward customer experience initiatives and creates operational efficiencies. Lead key data metrics development for optimal operational efficiencies, modeling optimal staffing strategies, setting metrics and reporting for AI tool and chatbot performance, report and evolve new and existing key metrics appropriately. Proactively champion product improvements based on timely data insights. Analyze customer data and identify patterns, trends, and insights to develop AI models and algorithms that improve customer service and support operations. Seek opportunities for continued efficiencies and automation of reporting. Coordinate with US Digital and Global team for streamline data management. Manage and update data visualization dashboards and other reports, to include validating data sets powering dashboards, creating clear KPIs and targets, ensuring strong execution and accountability, training users and improving tools based on stakeholder feedback. Ensure all department data streams are accurately flowing into Cloudbased data storage centers, with appropriate masked for internal and business partner usage and…