Jobs and vacancies near you on InRadius.

Data & AI Strategy Execution Support identification and prioritization of AI and data opportunities that drive business value. Collaborate with business and technology teams to ensure initiatives align with operational goals, digital transformation programs, and strategic priorities. Facilitate communication between stakeholders and help resolve execution challenges. Project Tracking & Governance Track project progress, milestones, timelines, risks, and dependencies across Data & AI initiatives. Provide operational support to ensure projects remain on schedule and within scope. Support governance processes, compliance requirements, data security standards, and risk mitigation activities. Performance Tracking & Reporting Assist in defining and monitoring KPIs for Data & AI programs. Support data collection, analysis, and reporting to measure business impact and value realization. Prepare dashboards, status updates, and performance reports for stakeholders. Operational Collaboration Partner with business, data, AI, and technology teams to ensure successful delivery of initiatives. Assist in managing vendor relationships and coordinating external partners when required. Promote best practices for data and AI adoption across business units. Change Management & Continuous Improvement Support training, awareness, and adoption programs for AI-enabled processes and tools. Identify opportunities to improve business processes through data-driven insights and automation. Assist with post-implementation reviews and continuous optimization efforts. Qualifications & Experience 7–10 years of experience in business operations, project management, data management, or related roles. Experience supporting AI, analytics, or data-driven initiatives preferred. Understanding of AI technologies, modern data platforms, and data governance principles. Proficiency in Power BI or Tableau; familiarity with SharePoint and/or Confluence. Knowledge of business process management and performance measurement frameworks. Basic understanding of budgeting and forecasting processes. Strong analytical, problem-solving, stakeholder management, and communication skills. Ability to manage multiple priorities in a fast-paced environment. Preferred Public speaking and presentation skills. Experience with DBT.

The Business Analyst will play a pivotal role in gathering requirements and conducting business analysis to drive strategic planning. With a hybrid work model and no travel requirements this position offers a balanced work-life environment. The candidate will leverage their expertise to enhance business processes and contribute to the company's growth and societal impact. Responsibilities Lead the requirements gathering process by engaging with stakeholders to understand their needs and objectives. Oversee the documentation of business requirements to ensure clarity and alignment with project goals. Provide detailed business analysis to identify opportunities for process improvements and efficiencies. Collaborate with cross-functional teams to develop strategic plans that align with business objectives. Analyze data to support decision-making and provide actionable insights to stakeholders. Facilitate workshops and meetings to gather input and feedback from various departments. Develop comprehensive business models to support planning and execution of projects. Ensure that all business analysis activities adhere to company standards and best practices. Support the development of project plans by providing input on timelines resources and risks. Monitor project progress and provide regular updates to stakeholders to ensure transparency. Evaluate the effectiveness of implemented solutions and recommend enhancements as needed. Contribute to the continuous improvement of business analysis processes and methodologies. Utilize strong communication skills to present findings and recommendations to senior management. Qualifications Possess a strong background in requirements gathering and business analysis with at least 8 years of experience. Demonstrate expertise in strategic planning and process improvement methodologies. Exhibit proficiency in data analysis and the ability to translate data into actionable insights. Have excellent communication and interpersonal skills to effectively engage with stakeholders. Show experience in facilitating workshops and meetings to gather and analyze requirements. Be adept at developing business models and strategic plans to drive project success. Display a commitment to continuous learning and improvement in business analysis practices.

OPERATIONS/PROJECT MANAGEMENT Oversee installation, configuration, and upgrading of data Platform servers and clients. Monitor system performance, perform regular updates, and manage security protocols in data Platform/Snowflake/Databricks. Ensure optimal performance, stability, and accessibility of data Platform and cloud platforms. Provide expert-level support to data Platform/Snowflake/Databricks users, troubleshooting issues, and implementing solutions. Design, identify and implement the automation process for daily/repetitive tasks Being part of the team that includes participation in an On-Call rotation to provide our customers 24/7 support. ANALYTICS Work with the team to designing, implementing, and testing high availability and business continuity plans for our Tier 1 applications. Implement data governance practices across data platforms/Snowflake/Databricks. Manage user permissions, ensuring compliance with data privacy regulations and company policies. Maintain accurate and comprehensive documentation of system configurations, policies, and procedures. Generate and analyze reports on usage statistics, system health, and user feedback to guide continuous improvement. Qualifications & Experiences: Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field. Master’s degree is a plus. Minimum 2+ years of hands-on administration experience, from setting up the Databricks/Snowflake environments (AWS preferred) Minimum of 1-2 years of experience in data platforms administration, specifically with Tableau Looker, Microsoft Power BI, & MicroStrategy. Minimum 2+ years of hands-on with Git, CI/CD pipelines, Terraform and DevOps practices with strong programing skills in Python/SQL/Bash Strong knowledge of SQL and relational databases. Familiarity with data integration tools and ETL processes. Excellent troubleshooting, problem-solving, and analytical skills. Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. Ability to provide 24/7 support.

We are looking for a Generative AI Engineer to design, develop, and deploy AI-powered solutions using Large Language Models (LLMs) and modern machine learning technologies. Responsibilities: Collect, preprocess, augment, and generate synthetic data for AI model training and evaluation. Develop, fine-tune, and optimize LLMs, Transformers, GANs, and VAEs. Build AI solutions for text generation, language understanding, semantic search, and RAG-based applications. Develop backend services and APIs using Python or .NET to support AI applications. Create and maintain scalable AI/ML pipelines for training, deployment, and monitoring. Integrate AI models with enterprise systems and data sources. Deploy AI solutions on Azure, AWS, or GCP and leverage cloud AI services. Ensure AI systems are scalable, reliable, and production-ready. Collaborate with cross-functional teams and stay updated on emerging AI technologies. Requirements: Strong knowledge of Machine Learning, Deep Learning, NLP, and Generative AI. Experience with LLMs, Transformers, embeddings, fine-tuning, GANs, and VAEs. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Keras, and Hugging Face. Experience with data preprocessing, synthetic data generation, and AI model deployment. Knowledge of cloud platforms (Azure, AWS, or GCP), Docker, and Kubernetes. Strong problem-solving, communication, and teamwork skills. Preferred: Experience with Computer Vision and multimodal AI applications. Ability to drive innovation and deliver AI solutions that create business value.

Education: Minimum 15 years of regular full-time education (10+2+3) with B.Com, M.Com, CA Inter, or a Bachelor's degree in Finance & Accounting from a reputed university. Experience: 5–8 years of experience in Order-to-Cash (OTC) processes including Billing, Cash Application, Customer Master Data Management, Credit Management, Collections, and Accounts Receivable. Minimum 3 years of experience as an SME in similar processes. Technical Skills: Strong working knowledge of SAP or JD Edwards (JDE) ERP systems and proficiency in MS Office, particularly Excel. Advanced Excel skills including IF, SUMIFS, COUNTIFS, VLOOKUP, XLOOKUP, Pivot Tables, Aging Reports, Date Functions, and Text-to-Columns. Key Responsibilities: Execute complex OTC activities related to billing, cash application, customer master setup, credit management, collections, reporting, and compliance. Ensure achievement of SLA/KPI targets, maintain accuracy and turnaround times, provide regular status updates, interact with customers through calls and emails, identify process gaps, implement controls, drive process improvements, and support stakeholder management. Skills & Competencies: Strong analytical, organizational, communication, and problem-solving abilities with a customer-focused approach, high accountability, and the ability to work independently under tight deadlines. Additional Requirements: Willingness to work ANZ shifts (starting between 2–3 AM IST), work from office 5 days a week including one weekend during month-end close, support extended working hours during peak periods, and be medically fit for shift operations. Location: NCR | Function: Business Process Services | Role: Executive | Qualification: Bachelor of Commerce (B.Com) | Desired Skill: Finance & Accounting

Key Responsibilities Product Ownership Manage the end-to-end product lifecycle from requirements gathering to delivery and adoption. Define PRDs, user stories, workflows, acceptance criteria, and product roadmaps. Identify user needs, product gaps, and opportunities to improve customer experience and business outcomes. Prioritize features based on business value, user impact, and technical feasibility. Technology & Integrations Partner with Data Engineering, Salesforce, SAP, and Application Development teams to deliver scalable solutions. Understand APIs, data models, system integrations, and enterprise architecture. Support analytics and reporting initiatives using Power BI or Tableau. Project & Vendor Management Manage external vendors and technology partners to ensure quality and timely delivery. Drive project execution, governance, testing, risk management, and release readiness. Maintain project plans, documentation, and operating procedures. Business & Financial Management Manage project budgets, vendor spend, and investment planning. Support forecasting, budgeting, and ROI assessment for digital initiatives. Stakeholder & Change Management Collaborate with Sales, Marketing, Finance, Operations, and other stakeholders to translate business needs into product solutions. Provide regular updates on progress, risks, and outcomes. Drive adoption through training, communication, and user engagement. Continuous Improvement Identify opportunities for automation, innovation, and process enhancement. Use feedback, analytics, and industry best practices to continuously improve products and platforms. Qualifications & Experience Bachelor’s degree in Engineering, Computer Science, IT, or related field; MBA preferred. 5+ years of experience with at least 3 years in Product Management, Digital Transformation, or Technology Consulting. Experience with Salesforce, CRM platforms, SAP integrations, analytics tools, and enterprise applications. Strong understanding of product lifecycle management, APIs, data engineering, and system design. Key Skills Product management and roadmap planning. Vendor and stakeholder management. Analytical thinking and problem-solving. Strong communication and project management skills. Ability to work effectively in cross-functional environments.