129 Data Operations Jobs - Page 6

The Team: This Team is responsible for providing data to you end customer who use this data to make decisions which powers their businesses. The Team supports the integrity and comprehensiveness of the data set by utilizing internal & external sources such as government & regulatory documents, stock exchanges, industry journals, analyst reports as well as information databases and our internal research tools to collect, summarize, and synthesize relevant information. You will gain exposure to different reports of covered Industries, while having frequent interaction with with people from across the organization to learn the industry dynamics and create a symbiotic work culture. The Impact: This role will involve working with the team and the manager on a variety of initiatives related to the process, people, and projects within the team. This is an opportunity to work on Core domain related projects and become a subject matter expert of the Fundamentals data collection team. It also includes an opportunity towards understanding business objectives, recommending & implementing solutions to business problems. It gives you opportunities to ideate and implement projects to achieve higher accuracy of dataset and faster completion of processes. Accountability would be towards understanding and owning the business objectives; being a role model for people and peer group; communicating with passion and enthusiasm, embracing change as a way of working; and leading by example when communicating new initiatives. Responsibilities: Present and execute ideas for improving overall departmental processes, procedures, and tools. Continuously implement and innovate techniques to maximize quality. Manages the domain assessment reviews, identify individual training needs, and increase domain quotient of the team members through regular trainings in collaboration with the Leadership team. Conduct regular trainings for the team and new joiners within the team. Interact with internal and external clients as necessary and works on new projects and data enhancement initiatives as assigned. Maintain relationship with clients and fully own the service delivery of client processes/projects. Act as a subject matter expert and help solve a variety of problems. Provide solutions based on best practices and existing precedents. Coordinate and manage projects from start to finish. Maintains high ethical standards both personally and professionally, to maintain transparency in the team. Ensure clear and seamless communication across levels and teams. Dedication to fostering an inclusive culture and value diverse perspectives. What were looking for: 5 years or more in financial data operations Thorough knowledge of financial data collection methodologies (must have). Result oriented, dedicated, hardworking who can work on own initiative and can deliver on time, under pressure with a high level of integrity and flexibility, sense of urgency, attention to detail and quality standards. Exposure to AI/ML based tools and data transformation projects. Self-starter, quick learner with a progressive mindset. Strong delivery skills with ability to balance multiple partners. Excellent communication, presentation, and negotiation skills. Conceptual thinking and analytical skills - Ability to address tasks and challenges with a clear and comprehensive methodology. Readiness to take on challenges and to challenge the status quo. Self-motivated individual with proven ability to multi-task and balance various aspect of work while delivering highest quality result. Ability to work well within the context of a global team. Ability to adapt to change and drive change within the team. Preferred Experience/Qualification: PG degree in commerce or business administration/management. Basic knowledge of Excel and SQL. Basic understanding on lean principles, Blue Prism, Python, Tableau, and Six Sigma certification would be an added advantage

JOB DESCRIPTION Position/Title: Associate Data operations Analyst Location: Bangalore, Mumbai Shifts : 08:30 PM 05:30 AM IST This is a job description for one of Aeries preferred partner - Confluence. In this role, you will be working directly for our partner as an employee of Aeries. Confluence Center of Excellence: In 2023, Confluence set up its Center of Excellence (CoE) in partnership with Aeries to consolidate its global operations in Bangalore, India. This CoE is focused on providing best practices, research, support, and training, across Confluences business units. About Confluence Confluence is a leading global technology solutions provider committed to helping the investment management industry solve complex data challenges across the front, middle & back offices. Headquartered in Pittsburgh, PA, with 800 employees in 15 offices across the United Kingdom, Europe, North America, South Africa, and Australia, Confluence services over 1000 clients in more than 40 countries. For more information, visit www.confluence.com About Aeries Aeries is a technology services and solutions company, headquartered in Mumbai, India, with centers in USA, Mexico, Singapore, and Dubai. We enable mid-size technology product companies scale and optimize their business. At Aeries, we have various unique engagement models with our partners. One such model is this Center of Excellence that has been Purpose Built for our partner Confluence. Read about us at https://aeriestechnology.com/careers/ Accountability Statement / Role Summary Associate data operations analysts are responsible for the organization and maintenance of our data, ensuring accuracy and integrity while also developing new ways to improve efficiency. They will work closely with the Analysts / Specialists / SMEs to develop and implement processes and procedures for data entry, storage, and retrieval. An Associate Data Operations Analyst should have a good understanding of best practices, can execute on tasks with limited supervision from others. Individuals will create intermediate level insight and recommendations in their area of expertise. Individuals in this role will continue to provide support to the Analysts and Specialists assigned to work with them, at the same time they also need to ask questions and ensure there is complete understanding of the expectations. KEY CONTRIBUTIONS Functional/Technical Intermediate Level Update, maintain and process mapping tables and working files using various internal systems and proprietary company software Monitoring data traffic & schedules. Sourcing, cleansing and verifying data. Analyze data and investigate queries from business and clients Creating and running reports that provide insight into filing quality Participate in projects and collaborate with your global colleagues to deliver new initiatives Prepare and maintain process documentation. Capturing changes & escalating as required Work towards improving existing processes. Build Checks and controls as required in consultation with Analysts and Specialists. Identifying inconsistencies & variances, and raising Incident reports proactively Timeline management & reporting Filing creation & data loading into Confluence regulatory platform Execution of calculations Filing validations & sanity checks to be performed on all deliverables Essential Technical Competencies Proficient problem-solving capabilities and ability to apply these to Confluence data driven investment management solutions. Detail oriented, organized and capable of independently managing assigned workload and time. Ability to handle multiple priorities and tasks as well as work with management and the wider team to load-balance work and priorities. Self-starter, independent learner with the ability to share knowledge and train others. Flexible and adaptable. Key contributor to the team, working both collaboratively and autonomously as required Effective communicator with the ability to chair calls, advise others and present content to various stakeholders/partners and clients. Highly proficient skills in Microsoft Office Suite. Highly proficient in Excel, with basic knowledge of SQL, VBA Macros, Python is an add on. Educational Requirement: Relevant bachelors degree from a recognized tertiary institute Experience Requirement: 5+ years experience in similar role Financial / Investment Services / SaaS industry experience a plus

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Data Management–Organizing NGO-related data. NGO Function Management–Assisting in planning and executing social projects. NGO Team Coordination–Supporting and communicating with team members. Presentation Work, Basic Banking Work