MGR - Digital Transformation

Job Description

Job Title Senior Manager Digital Transformation Educational Qualification: Bachelor of Technology (B.Tech.) or equivalent. Diploma Holders with relevant experience on Digitalization Projects and eligible for mentioned career level can also be considered Any Other (Certification / Diploma etc.): A course / certification on Data Analytics / Digitalization is preferred Work Experience : 7 Years Job Responsibilities - Conceptualize and implement Robotic Process Automation solutions. - Develop and implement data-driven solutions to address business challenges. - Expertise in workflow automation and optimization. - Development of Dashboards for reporting and visualization of data. - Interact with internal and external service providers for development of digitalized solution for business activities. - Suggest digital solution to management using business knowledge to support your recommendations. - Actively participate in the implementation of approved projects and coordinate with required stake holders. - Development of learning modules for intra and inter vertical knowledge sharing. - Stay up-to-date with the latest trends and technologies in data science. - Should be able to perform EDA of raw data and feature engineering wherever applicable. Competencies / Skills - Excellent project management skills, including planning, budgeting, resource allocation, and risk management. - Proficiency in programming languages like C++, Python, Java, HTML. - Should have basic knowledge about cloud platforms such as AWS, and Azure. - Should have basic knowledge of AI and Machine Learning tools - Experience on dashboarding tools like Power BI. - Proficiency in Excel (Power Pivot, Power Query, Macros, Charts, etc) Specific Expertise for Functional area - Experience working in the automotive industry. - Strong analytical and problem-solving skills. - Ability to work independently and as part of a team. - Excellent presentation and communication skills, both written and verbal, Ability to problem solve in an environment with unclear requirements.