Assistant Vice President- Automation & Analytics

Role Overview: As the leader responsible for leading and managing a team of automation, analytics, and data science projects, your main focus will be on driving business outcomes through data-driven insights and solutions. You will collaborate closely with cross-functional teams to identify opportunities, develop strategies, and implement solutions. Additionally, you will be tasked with building and managing a team of automation and analytics professionals, ensuring high data quality, and keeping up-to-date with industry trends. Key Responsibilities: - Strategic Planning: Develop and execute a data-driven strategy aligned with business goals, identifying areas for automation and analytics application. - Project Management: Manage projects from initiation to completion, ensuring timely delivery and adherence to quality standards. - Team Leadership: Build, lead, and mentor a team of automation and analytics professionals, fostering a collaborative and high-performing environment. - Data Governance: Establish and maintain data quality standards, ensuring data accuracy, consistency, and accessibility. - Communication: Effectively communicate complex technical information to both technical and non-technical stakeholders, ensuring understanding and buy-in. - Solution Development: Identify and implement data-driven solutions to address business challenges, leveraging automation, analytics, and data science techniques. - Industry Knowledge: Stay current with industry trends and best practices in automation, analytics, and data science, ensuring the team is at the forefront of innovation. - Collaboration: Work effectively with cross-functional teams to gather requirements, align on goals, and implement solutions. - Performance Monitoring: Track key performance indicators (KPIs) and measure the impact of data-driven initiatives, ensuring continuous improvement. Qualification Required: - Bachelor's degree in a relevant field (e.g., statistics, data science, computer science, engineering), or equivalent experience. Master's degree preferred. - 10+ years experience in automation, analytics, data science, with experience leading teams responsible for delivering projects using these techniques. - Excellent communication, interpersonal, and leadership skills. Ability to work independently and collaboratively. - Programming: Proficiency in programming languages like Python or SQL is highly desirable. - Data Analysis: Strong analytical skills and experience with data analysis techniques. - Data Visualization: Ability to create clear and insightful visualizations of data. - Automation: Understanding of automation concepts and experience with relevant tools. - Problem-Solving: Ability to identify and solve problems using data and analytical techniques.,