Assistant Vice President- Automation & Analytics

Introduction :

This position is responsible for leading and managing a team of automation, analytics and data science projects, driving business outcomes through data-driven insights and solutions. The leader will work closely with cross-functional teams to identify opportunities, develop strategies, and implement solutions. They will also be responsible for building and managing a team of automation and analytics professionals, ensuring high data quality, and staying 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 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.

Essential Skills :

Desired Skills :

Benefits :

Skills Required

Data Visualization, Data Analysis, Data Warehousing, Automation, AI ML, Sql, Python