Senior Manager of Analytics and Automation

The Senior Manager of Analytics & Automation will lead the analytics team to oversee the design & development of our enterprise data & analytics platform and solutions leveraging SAP, Nielsen, and customer POS data to drive strategic decision-making and business growth. This role requires a deep understanding of data analytics, consumer behavior, and the CPG industry. The ideal candidate will have a proven track record of managing large datasets, developing insights, and leading cross-functional teams. The role will collaborate with business functions to develop analytic tools to improve decision making leveraging data.The responsibilities of this position shall consist of, but not be limited to, the following:Leadership:Planning, organizing and executing the analytics roadmap including technical design & development of our enterprise data & analytics platform. Provide oversight on technical design and development decisions,Lead a team of technical analysts and off-shore contractors to deliver competitively advantaged analytics solutions.Collaborate with cross-functional teams to ensure alignment on business objectives and priorities.Data Management and Integration:Oversee the integration and management of data from SAP, Nielsen, and customer POS systems.Ensure data accuracy, consistency, and availability for analysis.Develop and maintain data governance policies and procedures.Analytics and Insights:Lead the development of advanced analytics platforms for the business  to identify trends, opportunities, and risks.Strategic Planning:Develop and implement analytics strategies to support functional business goals.Identify and evaluate new data sources and technologies to enhance analytics capabilities.Present findings and recommendations to senior leadership and stakeholders.Performance Measurement:Design and implement key performance indicators (KPIs) to measure the effectiveness of analytics initiatives.Monitor and report on the impact of analytics on business performance.Continuously improve analytics processes and methodologies.AI & Automation:Familiarity with AI technologies (like machine learning, Natural Language Processing) and process automation tools.Experience leveraging automation technologies to reduce manual work from processes and streamline operations.