Job Overview
The Data Analytics & AI Manager is responsible for transforming data into advanced insights, predictive intelligence, and AI-driven solutions that support strategic and operational decision making across the organization.
Strategic Management
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Lead Advanced analytics initiatives that support business performance and strategic goals.
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Identify opportunities where predictive analytics and AI can improve efficiency, revenue, or cost control.
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Gather and translate business requirements into analytical and AI- Driven solutions.
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Analyze internal and external factors that impact business performance.
Analytics & AI Enablement
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Develop and enhance advanced analytics solutions, including forecasting and predictive models.
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partner with data science teams to deploy AI/ ML use cases that solve real business challenges.
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support automation of insights and reporting using intelligent analytics tools
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Ensure AI and analytics outputs are understandable, reliable, and aligned with business.
Reporting & Insights
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Oversee Development of dashboards and visualization that support business monitoring.
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Ensure KPIs and performance indicators are clearly defined and consistently tracked.
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Deliver monthly performance analysis reports with insights and improvement recommendations.
Stakeholder Collaboration
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Act as a bridge between business teams, BI, and data science functions.
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Present insights and AI- Driven findings in a clear and business friendly manner.
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support leadership with scenario analysis and data backed recommendations.
Requirements
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University degree in computer science, data analytics, information systems, business intelligence, or a related field.
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8-10 years of experience in analytics, business intelligence, or data roles.
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Experience working with analytics, predictive modeling, or AI initiatives.
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Excellent communication and presentation skills.
Technical skills
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Experience with business intelligence tools such as Power BI, SAC.
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Good knowledge of SQL and data analysis tools.
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Exposure to analytics and AI tools.
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Experience working with data models and structured dataset's
Preferred Experience
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Experience in FMCG, Food & Beverages industry is a plus.
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Experience supporting forecasting, supply chain, or sales analytics initiatives.
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Experience working in Agile or project-based data environments.