13 Error Analysis Jobs

The business/systems analysis specialist at Amdocs has a comprehensive understanding of customers" business environments, operations, regulatory frameworks, and industry processes. You will leverage this knowledge to advise on, capture, and define business and system requirements that align with customer needs and product capabilities. Your responsibilities will include: - ETL Work Description: Designing and building extracts using Informatica from various sources to create a unified input file for migration, testing support across all stages, migration support for loading data into SFDC, data cleanup using extracts, and B2B support. - SFDC Work Description: Designing extracts and loads for Billing Accounts, Assets, and Contacts, mapping legacy SFDC products to new Core Commerce products, executing migrations, supporting testing and integration, analyzing errors, and conducting B2B analysis within SFDC-Cloudsense. The ideal candidate will have: - A degree in Computer Science or Industrial Engineering & Management - Information System. - 10 years of experience in the telecom industry and/or IT, with at least 5 years in business/system analysis. - Customer-facing experience, proficiency in E2E Business processes, and partner/client management skills. In this role, you will: - Utilize customer insights to influence solution design. - Collaborate with a global team for personal and professional development. - Work in a multinational environment with a market leader. - Enjoy a range of benefits including health insurance, paid time off, and parental leave. Amdocs is an equal opportunity employer dedicated to building a diverse and inclusive workforce.,

About Us GVR Technolabs Pvt Ltd, an Information Technology services company with expertise in design, deployment and management of hardware and software applications and technology infrastructures. We offer services to improve our client efficiency, strengthen partnerships, increase profitability, and improve business processes with quality and value in a secure environment. Designation: Software IV & V Analyst (Software Quality Assurance) Locations & Number of Vacancies: Dehradun (Uttarakhand) - 4, Bangalore (Karnataka) - 37, Hyderabad (Telangana) - 11 Qualification: B.Tech/BE/M.Tech/ME in ECE/CSE/EEE/ECE/E & TCE or MSc (CS) or MCA Additional Qualification: IEEE-12207, IEEE-29119, DO-178B/C, DDPMAS, MIL-STD-498, DRDO Standard for software development (DDSD; will be provided) for all the activities. Experience Required 2 Years for Regular level 4 Years for High level 6 Years for Expert level Roles & Responsibilities: Checklists tailoring and compliance verification for specific Lab/Estt. needs Analysis of software code, design and related artifacts (code, documents, scripts) and preparation of reports High level requirements to low level requirements to design to implementation to test cases traceability and report generation Execution of test vectors, generation of test oracles / data set Test coverage based on test execution plan and report generation Execution of functional, non-functional and endurance tests w.r.t ATP document First level identification, reporting verification on closure of defects & bugs Review of documentation for completeness, consistency, traceability and reporting Test measurements reports generation and analysis Static and dynamic testing reports generation and review Development of automated regression test suites and regression testing based as per test plans. Test report generation for certification, where applicable Preparation of required documentation for the air-worthiness certification or equivalent certifications for all levels of criticality Generation of result reports for the IV&V activities carried out Use of configuration tools for software configuration control Configuration audits and report generation Software quality metrics data recording and analysis, and reporting Review of requirements, design, interfaces/ protocols and documents and release the review reports/ audit reports Verification/ updating of low level test plan, test cases and test procedures (Unit testing and module testing) Integration testing and analysis and report generation Requirements based testing &test case generation w.r.t functional requirements Generation of endurance test cases and realization of endurance test beds. Generation of smoke &sanity tests results, review and validation of the same Reverification of identification and reporting on closure of defects & bugs Verification of test beds/prototypes similar to deliverable system Development of test procedure and test scripts for HSI testing based on requirements Execution & reporting and review of HSI testing Phase checks, Integration testing and analysis of final V&V reports End to end traceability review Generation and verification of functional and non-functional requirement test cases Code walkthrough and review and reporting Object code testing and review and reporting FPGA/ Verilog/ VHDL code review and reporting Third party library testing and report generation Verification of software tool qualification and documentation Impact analysis and change request-based testing and regression analysis Mutation testing with debugging, fault injection at unit, component & system level Defect identification and tracking Preparation and management of trace data Development/ updation of software IV&V plan as per the standard/ guidelines Testing using jigs, simulators and test beds Define IV&V processes and methodologies Review and validation of all test plans, suites and results including automated regression test suites Analysis of software quality metrics data as per established process and product metrics Audit of all reviews Audit of all IV&V processes Validation of deliverable systems w.r.t functional and non-functional requirements Behavioral testing and reliability assessment Generation/ validation of FAT and ATP documents Review of all documents related to qualification and certification and release the same Interested candidates please share your resume to hr@gvrtechnolabs.com

You will be responsible for leading the quality assurance process for a large-scale handwritten data entry project focusing on genealogical and historical records. Your role as a Quality Coordinator will involve developing and implementing quality assurance protocols, supervising a team of data entry operators and quality analysts, reviewing and auditing transcribed data, collaborating with linguists and historians, maintaining detailed quality reports, and training team members on quality expectations and guidelines. Additionally, you will work closely with project managers to ensure project deadlines and quality benchmarks are met while ensuring compliance with data privacy and archival standards. To qualify for this role, you should have a Bachelor's degree in History, Linguistics, Library Science, Information Management, or a related field along with 3+ years of experience in data entry quality management, preferably in historical or genealogical data projects. You should also have a working knowledge of at least two of the following languages: Swedish, French, Irish, and English, as well as proven ability to manage multilingual data quality processes. Strong attention to detail, familiarity with transcription challenges in historical handwriting, proficiency in using QA tools and spreadsheet software, and excellent communication and team management skills are essential for this role. Your experience should include involvement in error analysis, corrective and prevention reports, awareness of QMS ISO related standards, participation in QMS audits and ISMS audits. As a Quality Coordinator, you will play a critical role in ensuring the accuracy, completeness, and consistency of transcribed data, contributing to the success of the project and the organization.,

You will be responsible for completing daily quality checks as per the process requirement and meeting the monthly sampling numbers for voice and non-voice processes. You are required to document quality scores, specific observations, feedback, and comments in the monitoring form. Providing timely feedback to agents for the errors identified is a crucial part of your role. Completing Root Cause Analysis (RCA) for all errors identified and creating Error analysis/RCA Report within the defined timeline are essential tasks. Ensuring that the Quality Assurance (QA) process adheres to ISO guidelines is a key responsibility. It is also expected that you identify improvement areas for staff and share them with the Assistant Manager Quality. Your participation in all development and quality trainings identified for Quality Analyst/ Lead Quality Analyst is mandatory. Proficiency in MS Office applications such as Excel, PowerPoint, Word, etc., is necessary for this role. The ideal candidate should hold a Graduate/Post Graduate degree with at least 1 year of overall work experience. Preferred experience in General Insurance or service industry in the quality domain is an advantage. Excellent communication skills, both written and verbal, are required. Working knowledge of Excel & PowerPoint is essential. Candidates from all verticals are welcome to apply, with quality experience being an added advantage.,

As an AI/ML Manager at our Pune location, you will be responsible for leading the development of machine learning proof of concepts (PoCs) and demos using structured/tabular data for various use cases like forecasting, risk scoring, churn prediction, and optimization. Your role will involve collaborating with sales engineering teams to understand client requirements and presenting ML solutions during pre-sales calls and technical workshops. You will be expected to build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML, managing training, tuning, evaluation, and model packaging. Applying supervised, unsupervised, and semi-supervised techniques like XGBoost, CatBoost, k-Means, PCA, and time-series models will be a key part of your responsibilities. Working closely with data engineering teams, you will define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Packaging and documenting ML assets for scalability and transition into delivery teams post-demo will be essential. Staying updated with the latest best practices in ML explainability, model performance monitoring, and MLOps practices is also expected. Participation in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes are additional aspects of this role. To qualify for this position, you should have at least 8+ years of experience in developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python, pandas, scikit-learn, and ML libraries like XGBoost, CatBoost, LightGBM is required. Familiarity with cloud-based ML environments such as AWS SageMaker, Azure ML, or Databricks is preferred. A solid understanding of feature engineering, model tuning, cross-validation, and error analysis is necessary. Experience with unsupervised learning, clustering, anomaly detection, and dimensionality reduction techniques will be beneficial. You should be comfortable presenting models and insights to both technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts, including model versioning, deployment automation, and drift detection, will be an advantage. If you are interested in this opportunity, please apply or share your resume at kanika.garg@austere.co.in.,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

The role requires you to complete daily quality checks as per the process requirements and meet the monthly sampling numbers for both voice and non-voice processes. You will be responsible for documenting quality scores, specific observations, feedback, and comments in the monitoring form. Providing timely feedback to agents for identified errors and completing Root Cause Analysis (RCA) for all errors are key aspects of the role. You will be expected to create Error Analysis/RCA Reports within defined timelines and ensure that the QA process adheres to ISO guidelines. Identifying areas of improvement for staff and sharing them with the Assistant Manager Quality will be part of your responsibilities. Attending development and quality trainings designated for Quality Analyst/Lead Quality Analyst is also essential. Proficiency in MS Office applications like Excel, PowerPoint, and Word is required. The ideal candidate should hold a Graduate/Post Graduate degree with at least 1 year of overall work experience. Previous experience in the General Insurance or service industry in the quality domain will be preferred. Excellent written and verbal communication skills are essential, along with a working knowledge of Excel and PowerPoint. Candidates with operations background are encouraged to apply, as quality experience is considered an added advantage. This position is open to candidates from all verticals, emphasizing that quality experience will be beneficial.,

As a Site Reliability Engineering (SRE) Technical Leader on the Network Assurance Data Platform (NADP) team at ThousandEyes, you will be responsible for ensuring the reliability, scalability, and security of cloud and big data platforms. Your role will involve representing the NADP SRE team, working in a dynamic environment, and providing technical leadership in defining and executing the team's technical roadmap. Collaborating with cross-functional teams, including software development, product management, customers, and security teams, is essential. Your contributions will directly impact the success of machine learning (ML) and AI initiatives by ensuring a robust and efficient platform infrastructure aligned with operational excellence. In this role, you will design, build, and optimize cloud and data infrastructure to ensure high availability, reliability, and scalability of big-data and ML/AI systems. Collaboration with cross-functional teams will be crucial in creating secure, scalable solutions that support ML/AI workloads and enhance operational efficiency through automation. Troubleshooting complex technical problems, conducting root cause analyses, and contributing to continuous improvement efforts are key responsibilities. You will lead the architectural vision, shape the team's technical strategy and roadmap, and act as a mentor and technical leader to foster a culture of engineering and operational excellence. Engaging with customers and stakeholders to understand use cases and feedback, translating them into actionable insights, and effectively influencing stakeholders at all levels are essential aspects of the role. Utilizing strong programming skills to integrate software and systems engineering, building core data platform capabilities and automation to meet enterprise customer needs, is a crucial requirement. Developing strategic roadmaps, processes, plans, and infrastructure to efficiently deploy new software components at an enterprise scale while enforcing engineering best practices is also part of the role. Qualifications for this position include 8-12 years of relevant experience and a bachelor's engineering degree in computer science or its equivalent. Candidates should have the ability to design and implement scalable solutions with a focus on streamlining operations. Strong hands-on experience in Cloud, preferably AWS, is required, along with Infrastructure as a Code skills, ideally with Terraform and EKS or Kubernetes. Proficiency in observability tools like Prometheus, Grafana, Thanos, CloudWatch, OpenTelemetry, and the ELK stack is necessary. Writing high-quality code in Python, Go, or equivalent programming languages is essential, as well as a good understanding of Unix/Linux systems, system libraries, file systems, and client-server protocols. Experience in building Cloud, Big data, and/or ML/AI infrastructure, architecting software and infrastructure at scale, and certifications in cloud and security domains are beneficial qualifications for this role. Cisco emphasizes diversity and encourages candidates to apply even if they do not meet every single qualification. Diverse perspectives and skills are valued, and Cisco believes that diverse teams are better equipped to solve problems, innovate, and create a positive impact.,

Position - Lead Associate - Transactional Quality(Accounts Receivables/ AR / O2C) - Pune REF71868C_2025158128 Education: Commerce Graduate / PG Key Skills : Accounts Receivable, Quality Checking, MS Excel, Data Analytics Good Communication / Presentation Skills Should have strong analytical skills, attention to detail, positive professional. Attitude, and the ability to work in a team environment. Must have Basic and advanced level MS Excel, Power Point skills. Candidates preferred with prior work experience in TQ Management, RCA/ Reporting/ Error Analysis/ Client & Stakeholder Management. Ability to manage allocated tasks and perform them with little supervision. Must be responsible for analyzing data to ensure accuracy. Ensure adherence to defined SLAs, processes are compliant from risk perspective, continuous reduction in errors / customer comebacks, drive QDNA metrics Ability to work with people and teams of diversified / different priorities Qualifications Education: Commerce Graduate / PGKey Skills : Accounts Receivable, Quality Checking, MS Excel, Data Analytics.

About this role: Wells Fargo is seeking a Principal Engineer to drive the design, development, and implementation of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the AI operating model for both horizontal (cross product/platform) and vertical support (product specific). As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. This role will be a key contributor to shaping AI infrastructure, governance, and automation frameworks, working closely with cross-functional partners in technology, product management, and operations. The horizontal focus of this role will support AI platform scalability, reliability and AI governance, ensuring alignment across EFT, while the vertical focus will support specific applications and their integration within business domains. The successful candidate will have a deep expertise in AI engineering, cloud-based AI deployment, and AI model lifecycle management, along with experience in architecting AI solutions that align with responsible principles and enterprise business objectives. This is a unique opportunity to lead AI engineering efforts while shaping the AI operating model. In this role, you will: Design, develop and optimize Gen AI applications using agentic frameworks and tools Accelerate end to end solution delivery timelines by developing automated data, prompting and evaluation pipelines Streamline the enablement of AI solutions by building solution blueprints, re-usable patterns and identifying process improvements Lead AI engineering efforts that drive the design, development, scalability, and evolution of AI-powered products, ensuring AI adoption. Research and guide engineering efforts to solve complex engineering challenges and balance accuracy, latency and cost Evolve the AI operating model, ensuring seamless integration of AI solutions into business domains while providing horizontal AI governance and infrastructure support. Develop automated AI model monitoring frameworks, enabling continuous model updates, explainability, and performance tracking. Develop and scale AI platforms leveraging Large Language Model (LLM) services, real time analytics, AI automation, and intelligent decision-making. Act as an advisor and collaborate with leadership to integrate AI into existing enterprise systems and cloud platforms to implement innovative and significant business solutions. Drive cross-functional collaboration to define AI roadmaps, infrastructure strategies, and product enhancements, ensuring AI capabilities align with business AI strategies. Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that require vision, creativity, innovation, and advanced analytical and thinking. Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization. Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership. Responsible for meticulous governance to address the unique risks posed by GenAI. Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 7+ years of engineering experience building and supporting large scale customer facing products using modern technologies 3+ years building and delivering products using AI technologies. Desired Qualifications: Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering. Deep experience with generative AI models, including model prompting, tuning, and safety best practices. Expertise in solution architecture and applying modular design techniques to agentic workflows Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline Strong expertise in test or eval driven development, ensuring robust and scalable AI software. Experience in backend application software development, with ability to quickly adapt to C#, and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), knowledge graphs and agentic workflows. Deep knowledge of AI infrastructure, Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Passion for building AI solutions that deliver a seamless, end-user-focused experience. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Lead projects, teams, and serve as a peer mentor. Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.

Role & responsibilities Directly responsible for 2 to 3 Team Leads who will internal see 25 to 30 editors Ensure implementation of quality producers. This includes roll out of new procedures, keeping the team updated on client specifications Collaborate with other departments regarding policies and procedures Involvement in QA research and feedback. Channeling internally and externally through: timely follow-up with individuals or/ and the team to ensure the issue at hand is fully addressed and understood Suggest corrective and preventive actions Analyzing error trends and using the data to ensure the targeted group has received the required refresher/training o To improve the overall quality of deliverables by the team and come up with initiatives that increase overall quality and productivity • Identify areas of improvement in team by: o Regularly review and analyze error trends and other quality issues and implement corrective and preventive solutions o Regularly review the QC procedures they are up to date o Improve efficiency o Encourage and implement automation • Ensure the team is updated on the latest software updates and collaborate with the Process Lead/SME to suggest improvements • Represent the QC team in relevant meetings and calls • Team metrics and data organization: o To maintain the teams metrics and present them at monthly performance reviews o Ensure this data is used to display current performance and to ensure adequate capacity for projected volumes o To share this data with team management and the team to improve overall performance • Training and Documentation: Work with trainers and documentation representatives and management: o Organize the training plan for new recruits o Schedule refresher training for the team o Ensure all QC documentations are up to date o Assess documents on a quarterly basis to ensure they are in accordance with Deluxe, client and department expectation • Enforcement: o Ensure all relevant trackers are accurately updated by the team o Ensure that Team Leads are accurate and prompt with their task o To also ensure that established procedures are followed by the team and enforced regularly by the Team Leads • Be involved in business continuity and succession planning, ensuring the next generation of leaders are well groomed, think and act in the desire fashion: o To chart out team members growth in the company, along with Team Leads and managers, and plan for future growth and numbers, promotions, etc, and groom them in accordance with this plan o Work with senior employees individually, if possible, on projects that can bring out their strengths and allow them to develop o Monitor how Team Leads plan their tasks and provide guidance on delegation of tasks and grooming, when required • To ensure smooth and effective communication within the team • Maintain discipline within the team with respect to schedule adherence • To motivate the team and ensure high morale. Work with Leads, managers, and HR, to assure employee engagement are heard and addressed • Conduct annual appraisals of the three Team Leads and participate in the appraisals of team members by the leads • Recognize and reward team members’ accomplishments, through various award nominations • To groom backups to take for all tasks Preferred candidate profile Preferably from BPO/KPO or media industry with minimum of 6 plus years of relevant qc management experience with team management role, should have been part of stakeholder management, involved in corrective and preventive qc measures , mentoring, performance evaluation of teams of qc edits. must be willing to work in all shifts and open to work in bangalore , all days work from home.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. This function is responsible for Managing billing and/or collection team(s) for optimum reduction AR Days and/or FBNS and working with payers to improve or maintain cash goals set. Position in this function manages staff performance and ensures that the business meets the KPI expectations. The position carries out his/her duties by adhering to the highest standards of ethical and moral conduct, acts in the best interest of organization and carries out the Vision and Mission of the organization. Primary Responsibilities The primary responsibility of the supervisor is to ensure that his/her subordinates are developed to become successful in their given or potential role, thus coaching and mentoring is very important. Minimum requirement is to coach your staff at least twice a month for mid and top performer. Bottom performer or your focus people should have minimum of one a week coaching session Conduct daily and weekly huddle to discuss strategy to address performance or challenges, provide update and to drive performance. Agenda should be prepared prior to the meeting and meeting should always be documented Attendance and Schedule Adherence - Ensure that subordinates are reporting on time and on the days that they have shift. The supervisor should be able to drive attendance always including punctuality and break schedule compliance Update all required data as needed based on company requirement (MyGPS, EWS, LH, Allsec, CLL, Peoplesoft, etc) Inventory management including allocation. Ensuring inflow and outflow are properly managed and monitored based on capacity. Provide trends and action plan including burn down plan if sudden surge in volume or decreased capacity due to shrinkage Respond to query and escalations then provide feedback to business partners. Deep dive should be conducted and shared with leaders, TAT 24 hrs. This should include action plan for the specific person/issue and how this will be prevented in the future Ensures that the agents are aware of their performance (daily, weekly and monthly progress). Performance scorecard should be reviewed at least twice a month. So agents are aware of where they stand Review audit markdown and conduct error analysis and process related coaching including root cause analysis Ensure rebuttals are done when necessary and submitted in a timely manner Complete internal audits on a timely manner as deemed required Review adjustment requests and approve those which are valid for write-off Complete your own production required by your processes. Minimum of 40 accounts per month Ensure accurate documentation of coaching sessions provided and attended. This should be uploaded in ORBIT. This includes but not limited to performance, behavior coaching and retention conversations Ensure accuracy of all data and report submitted including End of Day report Update dashboards, trackers, business review files, scorecard in a timely manner, when needed Ensure performance boards are updated daily and agents has visibility on it Attend scheduled meeting, training and calibration sessions Provides purposeful and actionable development feedback to direct reports and monitors to support their performance improvement. If, after the action items of the development plan do not yield the desired positive results in the agreed upon timeframe, a CAP is initiated in accordance to Optum policies and practices Study trends and analysis on team performance and be able to device SMART action plan to address team/ individual challenges Ensure own and subordinate adherence to company policies and procedures. Strict implementation should be reinforced. Issue corrective action as deemed necessary Request needed learning from the trainers or SMEs, Leads and process experts Drive meal adherence 98% (PHL only) and manage utilization at 71.42% for PH and 75.78% for IND the least Provide floor/virtual support to ensure that agents are assisted real time Complete accountability of the teams performance and actions Create career pathing for the subordinate you manage Create your succession plan Drive compliance and success of Vital signs, Bright ideas, engagement activities and other company/process initiatives Any additional task that maybe required from the process he/she belongs to Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Work Experience: 2+ years of experience in Hospital Revenue Cycle Management 1+ years of management/leadership experience Thorough understanding of insurance policies and procedures Working knowledge of medical terminology Basic computer skills, must understand Excel Proven excellent written and verbal communication Must undergo process training and pass ramp certification Technical Knowledge High sense of responsibility and accountability; Takes ownership and initiative Ability to think and act; decisiveness, assertiveness, with ability to achieve results quickly Excellent communication capability; persuasive, inclusive, and encouraging; the ability to listen and understand; Ability to elicit cooperation from a variety of resources Adaptable and flexible, with the ability to handle ambiguity and sometimes changing priorities Professional demeanor and positive attitude; customer service orientation Ability to learn, understand, and apply new technologies, methods, and processes Ability to recognize necessary changes in priority of tasks and allocation of resources, and bring them to the attention of Optum Leadership, as required Ability to be a self-starter and work independently to move projects successfully forward Ability to work with a variety of individuals in managerial and staff level positions Personal presence that is characterized by a sense of honesty, integrity, and caring with the ability to inspire and motivate others to promote the philosophy, mission, vision, goals, and values of Optum and our client organization(s) Demonstrates a positive leadership shadow by shaping positive behaviors in areas of influence, building integrity, influencing our values and creating a healthy, high-performance environment

Hi, I am Nirmal from the Pharma Vertical of Masadir HR Services, an International Recruitment Firm. We have been retained by a professionally managed organisation to recruit Operations and Development Executive for them. The job location is Navi Mumbai - Turbhe . Kindly find below the job description: Lead the development and continuous improvement of the Auskey Digital Stethoscope. Research, design, and evaluate materials, assemblies, processes, and equipment. Document all phases of research and development. Manage and maintain our ISO 13485 Quality Management System. Establish and enforce quality control and assurance processes. Ensure compliance with all regulatory requirements, including maintaining the Product Technical File Set up and optimize assembly processes for the device. Develop and document Standard Operating Procedures (SOPs) and quality control procedures. • Coordinate product repairs and warranty replacements. Implement effective workflow optimization strategies. If you are interested or know any suitable candidates kindly share your updated resume with me through Whatsapp 8608205815 . Looking forward to hearing from you soon. Thank you! Have a great day! Regards Nirmal Marimuthu Associate | Global Talent Acquisition Operations M: + 918608205815 E: nirmal.m@masadirhr.com