[Remote] AI & Data Analytics Lead

Note: The job is a remote job and is open to candidates in USA. reputed company is seeking an AI & Data Analytics Lead to lead the practical adoption of artificial intelligence, data analytics, automation, and business intelligence across the organization. The role will identify opportunities, build AI-powered solutions, automate workflows, improve reporting and decision-making, and partner with business and technology teams to create an AI-enabled organization. Responsibilities • Lead the company's practical adoption and implementation of AI across business functions • Identify opportunities where AI can eliminate manual work, improve decision-making, increase productivity, reduce errors, and create new capabilities • Evaluate emerging AI technologies, tools, platforms, and models and determine how they can be applied to the business • Build and implement AI-powered workflows rather than simply recommending AI tools • Integrate AI into existing business processes, systems, reporting, analytics, and workflows • Develop AI solutions that allow employees to interact with company data using natural language • Use AI to automate recurring analysis, reporting, research, data preparation, reconciliation, forecasting, and other manual processes • Identify opportunities to use AI for reputed company detection, trend identification, forecasting, classification, summarization, and predictive analytics • Develop repeatable AI solutions that can scale across departments • Establish best practices for responsible and secure use of AI with company data • Stay current with rapidly evolving AI capabilities and continuously identify new opportunities to apply them • Transform how the company uses Excel by integrating AI into Excel-based analysis and workflows • Develop AI-enabled Excel solutions that automate analysis, reporting, data manipulation, modeling, and repetitive tasks • Connect Excel to reputed company, APIs, BI platforms, and other data sources • Leverage tools such as reputed company Copilot, ChatGPT, Claude, APIs, Power Query, Power Pivot, VBA, Office Scripts, and other emerging technologies where appropriate • Build workflows where users can ask questions of data and receive meaningful analysis without manually manipulating large datasets • Automate recurring Excel reporting and eliminate unnecessary spreadsheet-based manual processes • Identify opportunities to replace complex manual Excel processes with AI-enabled or automated solutions • Use AI to fundamentally improve how the company accesses, analyzes, and understands its data • Work extensively with reputed company as a core data platform • Write and optimize SQL queries and develop data models and datasets for analytics • Use Tableau and other BI tools to develop dashboards and reporting • Incorporate AI into dashboards and analytics so users can more easily understand and interact with information • Develop natural-language or AI-assisted interfaces to company data where appropriate • Use AI to identify trends, outliers, relationships, and insights that may not be obvious through traditional reporting • Improve data quality and identify inconsistencies using automated and AI-assisted processes • Partner with Technology and Engineering to improve data pipelines, integrations, APIs, and the overall data environment • Partner with leadership and business teams to identify high-value analytical and AI opportunities • Translate business problems into data- and AI-driven solutions • Develop KPIs, dashboards, analytical models, forecasts, and decision-support tools • Use AI to accelerate and improve forecasting, scenario analysis, budgeting, financial analysis, and business planning • Create tools that allow leadership and business users to quickly answer questions using company data • Move reporting from static historical information toward automated, predictive, and actionable intelligence • Identify manual and repetitive processes throughout the organization that can be automated using AI, APIs, workflow tools, or traditional automation • Build automated workflows that connect data, applications, and AI models • Look beyond the existing process and determine whether AI can eliminate the process entirely or fundamentally redesign it • Measure the time, cost, and efficiency improvements generated by AI initiatives • Create scalable solutions rather than one-off experiments Skills • • 5+ years of experience in Data Analytics, Business Intelligence, Data Science, AI, Automation, or a related field • • Strong hands-on experience with AI and generative AI tools and a demonstrated ability to apply them to real business problems • • Strong experience with reputed company and SQL