Job Responsibilities A Business Manager is responsible for overseeing the operations of a company or department and ensuring that the organization meets its goals and objectives. It includes the following responsibilities: Planning and Strategy: Business Managers are responsible for developing and implementing strategies to achieve the company's goals. They work with other managers to identify opportunities for growth, assess risk, and develop plans for achieving long-term success. Financial Management: Business Managers are responsible for managing the company's finances, including creating and monitoring budgets, forecasting financial performance, and overseeing accounting and bookkeeping activities. Personnel Management: Business Managers are responsible for managing staff and ensuring that they are properly trained and motivated to achieve the company's goals. This may include hiring and firing employees, managing performance, and creating and enforcing policies and procedures. Operations Management: Business Managers are responsible for ensuring that the company's operations are running smoothly and efficiently. This may include managing inventory, overseeing production, and ensuring that customer needs are being met. Sales and Marketing: Business Managers are responsible for developing and implementing sales and marketing strategies to promote the company's products or services. This may include managing advertising campaigns, identifying new markets, and developing partnerships with other companies. Risk Management: Business Managers are responsible for identifying and mitigating risks to the company, including financial, legal, and operational risks. This may involve creating and enforcing policies and procedures, developing contingency plans, and working with legal counsel to manage legal risks. Overall, the job description of a Business Manager is to ensure that the company or department they are managing is successful and profitable and to oversee all aspects of the organization's operations.
Objectives of this Role Collaborate with the CEO / Directors in setting and driving organizational vision, operational strategy, and hiring needs Translate strategy into actionable goals for performance and growth helping to implement organization-wide goal setting, performance management, and annual operating planning Oversee company operations and employee productivity, building a highly inclusive culture ensuring team members thrive and organizational outcomes are met Ensure effective recruiting, onboarding, professional development, performance management, and retention Adhere to company, federal, state, and local business requirements, enforcing compliance and taking action when necessary. Job Responsibilities Analyze internal operations and identify areas of process enhancement Develop actionable business strategies and plans that ensure alignment with short-term and long-term objectives developed in tandem with the CEO / Directors Directly oversee operations, HR, and accounting, and partner with the CEO on sales management to budget for sufficient investment capital to achieve growth targets over the near term Aggressively manage capital investment and expenses to ensure the company achieves investor targets relative to growth and profitability Monitor performance with tracking and establish corrective measures as needed, and prepare detailed reports, both current and forecasting Maintain and build trusted relationships with key customers, clients, partners, and stakeholders Responsible for All operations activities, delivery management, process management Design policies that align with overall strategy and implement efficient processes and standards Coordinate customer service operations and find ways to ensure customer retention Good Team Handling Experience Address the infrastructure requirements for the growing and day-to-day business needs Skills and Qualifications Bachelors degree in business administration, or a related field 7+ years experience in IT Operations Good experience in ITIL and Cloud Azure. Leadership skills, with steadfast resolve and personal integrity Understanding of advanced business planning and regulatory issues A solid grasp of data analysis and performance metrics Be able to diagnose problems quickly and have foresight into potential issues. Experience Required: 7 plus years. Qualifications Required: B.Sc. in Computer Science, BCA in Computers, B. Tech/B.E. in IT or Computers Job Location: Ghatkopar, Mumbai
Role & responsibilities: Job Title: AI/ML Expert Predictive Analytics (Azure) Job Summary: We are seeking a highly skilled and innovative AI/ML Expert with deep expertise in predictive analytics and Microsoft Azure technologies. The ideal candidate will design, develop, and deploy machine learning models that drive actionable insights and strategic decision-making across the organization. This role requires a strong foundation in data science, cloud computing, and business acumen to solve complex problems and optimize performance. Key Responsibilities: Design and implement predictive models using Azure Machine Learning, Databricks, and other Azure AI services. Collaborate with cross-functional teams to identify business challenges and translate them into data-driven solutions. Develop and maintain scalable data pipelines and model deployment workflows in Azure. Perform exploratory data analysis, feature engineering, and model validation. Monitor and optimize model performance in production environments. Leverage Azure Synapse Analytics, Azure Data Lake, and Azure SQL for data integration and processing. Ensure compliance with data governance, security, and privacy standards. Communicate findings and recommendations to stakeholders through visualizations and reports. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 5+ years of experience in machine learning, predictive analytics, and cloud-based solutions. Proficiency in Python, R, or Scala for ML development. Hands-on experience with Azure Machine Learning, Azure Databricks, and Azure Synapse. Strong understanding of supervised and unsupervised learning techniques. Experience with MLOps practices and tools (e.g., MLflow, Azure DevOps). Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with time series forecasting, anomaly detection, or recommendation systems. Familiarity with Power BI or other data visualization tools. Knowledge of industry-specific data and use cases (e.g., finance, healthcare, retail). Preferred candidate profile