Sr Manager F&A Gather and monitor financial data (e.g. sales revenues and liabilities) Prepare monthly, quarterly and annual statements (balance sheets and income statements) Forecast costs and revenues Manage tax payments Organize internal audits Prepare budgets (for the entire company and by department) Monitor and report on accounting discrepancies Conduct detailed risk analyses to assess potential investments Analyze financial trends Perform month-end and year-end close Qualified CA OR Cost Accountant Exposure to Ind AS Accounting standards Sound knowledge on Direct and Indirect Tax laws (ref:iimjobs.com) Show more Show less
Job Purpose: Lead the delivery, support, and continuous optimization of RISE with SAP across EPC and Manufacturing businesses, enabling digital transformation and scalability. Key Responsibilities: Bridge business, IT, and SAP partners for solution delivery and operations. Translate business needs into SAP solutions; manage rollout, timelines, and budgets. Oversee SAP project planning and execution, ensuring functional alignment. Evaluate and propose new SAP S4HANA solutions in line with business goals. Optimize processes and systems; manage testing and change control. Ensure integrations with HRMS, CRM, sourcing, analytics, and other systems. Lead and mentor SAP S4HANA teams across modules and technologies. Ensure audit compliance, SLA adherence, uptime, and licensing. Drive user adoption, training, and change management. Maintain IT policies, budget, vendor relationships, and documentation. Stay current with SAP technologies and trends. Requirements: 18+ years SAP ERP experience; 8+ years in leadership roles. Proven expertise in EPC & Energy Manufacturing sectors. Led end-to-end SAP S4HANA (preferably RISE) migrations. Strong in system integrations and stakeholder management. Excellent communication, leadership, and strategic planning skills.
As a professional responsible for handling end-to-end client AI & analytics programs in a dynamic environment, your role will encompass a diverse range of tasks including hands-on contribution, technical team management, and client interaction. You should possess an M-Tech/PhD from a reputable Institute, preferably in a quantitative subject, along with over 18 years of practical experience in applied Machine Learning, AI, and analytics. Proficiency in scientific programming using scripting languages like Python, R, SQL, NoSQL, and Spark, coupled with expertise in ML tools and Cloud Technology (AWS, Azure, GCP), is essential. Familiarity with Python libraries such as numpy, pandas, sci-kit-learn, tensor-flow, scrapy, BERT, etc., is also required. A solid understanding of machine learning, deep learning, data mining, and statistical concepts is crucial, along with a proven track record of developing models and solutions in these domains. Your role will also involve engaging with clients, comprehending complex problem statements, and proposing solutions in areas like Supply Chain, Manufacturing, CPG, Marketing, among others. Additionally, desirable skills include a deep knowledge of ML algorithms for common use cases in structured and unstructured data ecosystems, comfort with large-scale data processing and distributed computing, and providing necessary inputs to sales and pre-sales activities. Being a self-starter who can thrive with minimal guidance and possessing excellent written and verbal communication skills are also highly advantageous. (ref:hirist.tech),