Senior Manager - Advanced Analytics

Overview

Responsibilities

• Responsible for overseeing development and planning activities for the advanced analytics team
• Collaborate with business stakeholders to propose data & AI use case and get required funding, plan resources and budget for implementation
• Manage the demand and delivery for use cases, plan realistic timelines and prioritize items in pipeline and backlog ensuring transparency with stakeholders. Manage use cases delivery with different vendors
• Work in close collaboration with data engineering & architecture and BI service team to ensure data availability
• Work in close collaboration with data strategy and governance team in defining and refreshing data and analytics strategy
• Ensure that advanced analytics projects align with organizational goals
• Ensure utilization of data analytics platform and visualization tools to deliver insights to stakeholders
• Collect and report progress metrics and obstacles/delays on a regular basis
• Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence for efficient data analysis
• Identify best practices in analytical modeling and applying it to the use cases development that support business objectives
• Advises product teams on new products, features or updates through data-based recommendations. keep up-to-date with latest trends.
• Deep understanding of quantitative analysis, predictive & prescriptive models. Mastery of advanced analytic tools.
• Excellent Communication, Team Management, Stakeholder and Project Management, Critical Thinking, and analytical skills

Requirements

• A Master's degree or PhD in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline
• At least 8 years of experience in analytics, data science, or related fields, with a strong focus on leadership roles
• Proven experience in developing and deploying predictive models and leveraging big data analytics
• Strong proficiency in data visualization tools such as Tableau, Power BI, or similar
• Excellent communication skills, with the ability to convey complex analytical concepts to non-technical audiences
• Experience with programming languages relevant to data analysis (such as Python, R, or SQL)
• Demonstrated ability to manage multiple projects simultaneously and deliver results under tight deadlines

Benefits