2325 Data Quality Jobs - Page 50

Do you want to help solve the worlds most pressing challengesFeeding the worlds growing population and slowing climate change are two of the worlds greatest challenges. AGCO is a part of the solution! Join us to make your contribution. AGCO is looking to hire candidates for the position of Program Manager ABS Benefits Tracking Process and Infrastructure manages all aspect of the wave tool. The wave tool is the single source of truth for reporting ABS benefits. Key objective of the role is to maintain the data quality and integrity in wave, continuously improve reporting functionality and increase visibility of business benefits delivery. Your Impact Wave tool infrastructure Manage access to the wave tool Provide training and support for wave users Data management and reporting Develop standard reporting functionality Support ad-hoc analysis Data analysis and insight generation Collaborate with key stakeholder to support data driven decision making Your Experience and Qualifications Master s degree in finance, business administration, or a related field is required. Minimum 5-7 years of experience in performance management, financial analysis, or a related field. Significant experience within a global organization. Excellent communication and stakeholder management skills. Strong analytical and problem-solving abilities.

Data for AI: Design and implement data pipelines specifically tailored for AI training and model development. Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access. Implement data pre-processing and feature engineering techniques for optimal model performance. AWS expertise: Design,develop, and maintain data infrastructure on the AWS cloud platform, leveraging services like S3,Redshift, Glue, Lambda, and Kinesis. Build and maintain data lakes and warehouses optimized for AI workloads. Implement automated data transformations,cleansing, and validation processes to ensure data quality. Coding proficiency: Write code using Python,SQL, and other relevant programming languages, with a focus on libraries and frameworks commonly used in AI (e.g., TensorFlow, PyTorch). Automation and monitoring: Automate data pipelines using CI/CD tools and related techniques. Monitor and troubleshoot data pipelines for performance, reliability,and data quality issues. Overview The Emmes Company, LLC ( Emmes ) is a global, full-service Clinical Research Organization dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation. We believe in the power of truth, so much so that we named our company Emmes, which means truth. Through decades of experience we have learned that collaborative relationships thrive and human health benefits when truth is our compass. Our Character Achieves Results culture is driven by five key values that guide our actions in the way we conduct research and distinguish us as an organization: Integrity, Agility, Passion for Excellence, Collaborative Partnerships and Intellectual Curiosity. We are a trusted partner to clients who share our passion for improving public health in a world of ever-changing scientific research. If you share our motivations and passion in research, come join us! You will be joining a collaborative culture that empowers every Emmes employee from entry level through top executive to contribute to our clients success by sharing ideas openly and honestly. Primary Purpose Building and maintaining our data infrastructure on the AWS cloud platform, with a specific focus on supporting AI model training, development, and deployment. This includes designing, developing, and implementing data pipelines, ensuring the secure and efficient flow of data for our AI models. Responsibilities Data for AI: Design and implement data pipelines specifically tailored for AI training and model development. Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access. Implement data pre-processing and feature engineering techniques for optimal model performance. AWS expertise: Design,develop, and maintain data infrastructure on the AWS cloud platform, leveraging services like S3,Redshift, Glue, Lambda, and Kinesis. Build and maintain data lakes and warehouses optimized for AI workloads. Implement automated data transformations,cleansing, and validation processes to ensure data quality. Coding proficiency: Write code using Python,SQL, and other relevant programming languages, with a focus on libraries and frameworks commonly used in AI (e.g., TensorFlow, PyTorch). Automation and monitoring: Automate data pipelines using CI/CD tools and related techniques. Monitor and troubleshoot data pipelines for performance, reliability,and data quality issues. Qualifications 5 to 8 years of experience as a Data Engineer or similar role,with a demonstrated experience in supporting data pipelines for AI applications and their data requirements. Proven experience with AWS services,including S3, Redshift, Glue, Lambda, and Kinesis. Strong experience with Python and SQL. Strong understanding of AI libraries and frameworks. Experience with data warehousing and data modeling concepts. Excellent problem-solving and analytical skills. Ability to work independently and as part of a collaborative team. Strong communication and collaboration skills. CONNECT WITH US! Follow us on Twitter - @EmmesCRO Find us on LinkedIn - The Emmes Company, LLC

We help the world run better . What youll do As Data Management Consultant @ Success Delivery Center, your role will be to support customer in their digital transformation journey by implementing across Data Management solutions covering Data Migrations and Master Data Governance. As a tech-no functional consultant, you will be part of project teams delivering SAP Implementations for customers. You need to be hands on and well versed with solutions and good communication skills to participate in business discussions. Functional understanding of Data Management and prior development experience will be added advantage. While there may be travel based on customer needs, the focus will be delivering remote and offshore. Own / Acquire relevant SAP Business AI skills to position/deliver SAP s AI offerings to our customers. Enhance adoption/ consumption of various SAP AI offerings in customer use cases What you bring 6-12 Years of stable professional experience in SAP with data management and good development experience in ABAP. Experience in one or more of the following areas - SAP MDG/ Data Migration S/4HANA/ SAP Data Integration Experience in one or more of the following MDG Implementation/ Data Migration / Data Integration Solutions - SAP Data Services, Migration Cockpit, SDI, SLT, Datasphere-Integration Good functional knowledge in any SAP modules like MM, SD, PP, FICO Good Written and Verbal Communication Ability to Interact with diverse group of people. Proven track record of performance with stable stint in the previous company. Meet your team Data Management Solution Area within BTP Delivery @ Scale is strong 100 plus team delivering engagements across wide range of Data Management Topics - Data Migration, Data Integration, Data Engineering, Data Governance and Data Quality. Location: Bangalore / Gurgaon #ICC25 #SAPBTPAPJCareers #SAPBTPDSCareers #SAPBTPCareers #SAPInternal T2 . Requisition ID: 422295 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 422295 Posted Date: Jun 2, 2025 Work Area: Consulting and Professional Services Career Status: Professional Employment Type: Regular Full Time Expected Travel: 0 - 10% Location:

Marketing Data Coordinator Salary Location Ahmedabad, Gujarat {Mergefield Value} {Mergefield Value} This is a Permanent , Full Time vacancy that will close in {x} days at {xx:xx} BST . The Vacancy The primary purpose of the role is to support the Marketing Operations Team with Data administration tasks to ensure their time can be prioritised on spending time supporting the rest of the team. Working with multiple stakeholders, you will play a pivotal role in ensuring the success of our marketing team. What will I be doing Improve the data quality and maximize the usage of our CRM and Marketing system Ensuring Data Is Marketable to ensure we maximise email deliverability to our customer and prospect base Track Marketing engagement and activity, bridging the gap between Sales and Marketing Support the Marketing team by performing data administrative-related tasks and regular marketing operational tasks Support Marketing colleagues with data cleanse activities Provide Ad-hoc analysis and reporting for marketing team leaders. Work closely with our Sales Operational Colleagues team to ensure customer data within CRM Is cleansed What soft skills will I bring to this role Ability to multitask, prioritise, and manage time efficiently. A team player with the willingness to support colleagues with a can do and positive attitude. Works to a high standard producing detailed and accurate quality work. Foster a culture of continuous learning and development encouraging knowledge sharing and collaboration among team members. Ability to thrive in a high-energy, fast-paced, challenging environment. What experience will I bring to this role Data analytics skills with a good understanding of Contact Data management for both Customer and Prospect data Understanding of GDPR and PI regulation Advanced Excel Excellent verbal and written communication skills Proficient computer skills, Microsoft Office Suite (Word, PowerPoint, Outlook, and teams) Experience working with data and managing multiple stakeholders. Good organisation, communication, interpersonal and customer service skills. Desirable but not a necessity - Dynamics or Salesforce CRM, Marketo , Pardot or Hubspot marketing systems Why work for ANS At ANS, we ve created a place where everyone can be themselves, and we empower our people to get the job done. Openness, ambition, honesty, and passion are what drive us every day. We are bold, courageous, and innovative - and we do it like no other. We invest in our people. In training, development, health and more - we give you the benefits and flexibility to maintain a happy work-life balance. We re proud of the inclusive, fun, dynamic environment we ve created. It s a safe space that works for all. You don t have to be a techie to work in tech. Bring your authentic self and find your dream role here. Find out more at LinkedIn pages . ANS are an equal opportunities employer. We encourage diversity and anyone applying for a role at our organisation can be assured that their application will be treated fairly, regardless of age, disability, gender reassignment, gender expression, marriage and civil partnership, pregnancy and maternity, race, religion or belief and sex or sexual orientation. We sometimes ask for information relating to individuals for equal opportunities monitoring purposes only. The Benefits Flexible working Pension contributions Cycle to work scheme Employee Assistance Programme State of the art IT equipment Volunteer days Documents Sorry - this vacancy is no longer available. Your email address (required)

Join us as an AVP - Business Analyst (Data Designer) at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with data design compliance with best practices, governance, and security policies, data profiling and analysis and data design specifications as well as job-specific skillsets. To be successful as an AVP - Business Analyst (Data Designer), you should have experience with: Basic/ Essential Qualifications: Has designed and develop detail data models, schemas, and database designs. Understands data requirements and translate them into effective data designs and data flows. Optimize data structures for performance and scalability in alignment with business objectives. Experience in conducting data profiling and analysis to identify data quality issues and propose solutions. Understands data design specifications and maintain data dictionaries. Proficiency in SQL and familiarity with database management systems (e.g., Oracle, SQL Server, MySQL , Kafka , AWS etc). Desirable skillsets/ good to have: Bachelor s degree in Business Administration, Data Science, or related field. Proven experience in data modeling, database design, and data governance frameworks. Knowledge of data warehousing concepts and tools. Has basic understanding of financial crime domain. Excellent communication skills to interact with both technical and non-technical stakeholders. This role will be based out of Pune. Purpose of the role To lead the development and execution of the banks Data Analytics strategy, aligned with the banks overall business goals and risk appetite, ensuring data is used effectively to drive business growth, optimise operations, and mitigate risks. Accountabilities Enablement of Business or Function Unit Strategy through fostering and embedding a comprehensive understanding of how data can be used, bringing thought leadership on best practices and new capabilities to deliver Business outcomes. . Adherence to data policies standards and controls and inform this over time, driving Data Quality in support of use cases. Partnership with the Business or Function leadership to lead the definition and prioritisation of data use cases, business data products and their implementation and realisation of benefit. Prioritisation of activity required for Data and Analytics and challenge the overall end to end design and architecture. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. Job Summary As a Risk Controls Vice President in the Payments CORE Program team, you will support the CORE/RCSA program, focusing on data quality analysis, macro risk reviews and global collaboration with Control Managers. You will be instrumental in driving improvements and ensuring compliance with firmwide standards. Job Responsibilities Coordinate and enhance the Compliance and Operational Risk Evaluation (CORE) process across Payments Business Operations stakeholders. Collaborate with Payments Control Managers to address and track remediation of risk, compliance, and control issues. Interpret and disseminate Firmwide CORE Standards and Procedures to Control Managers. Undertake various Risk and Control Program initiatives and present the outcome to senior stakeholders Review and close out all Program and self-identified CORE hygiene items. Become a subject matter expert in the CORE application and provide guidance to Control Managers. Support data quality analysis and reporting as needed. Assist with control issues, ensuring appropriate prioritization and escalation. Conduct qualitative assessments on high-risk compliance and control areas. Communicate regularly with key stakeholders. Required Qualifications, Capabilities, and Skills Strong analytical skills and experience in data analysis. Familiarity with Risk and Control Assessment processes. Self-starter with the ability to multitask and work independently. Excellent organizational skills and attention to detail. Strong interpersonal and teamwork skills. Demonstrated initiative, ownership, and accountability. Proficient in oral and written communication and presentation. Advanced knowledge of MS Office, particularly MS Excel. Preferred Qualifications, Capabilities, and Skills Experience in project management within operational risk and controls. Ability to drive macro risk agenda and deliverables. Experience in developing partnerships with global teams.

Join us as an AVP Business Analyst (Data Analyst) at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with data design compliance with best practices, governance, and security policies, data profiling and analysis and data design specifications as well as job-specific skillsets. To be successful as an AVP Business Analyst (Data Analyst), you should have experience with: Basic/ Essential Qualifications: Has experience in collaborating with data scientists, data engineers, and other technical teams to translate business needs into technical specifications. Experience in business analysis or product ownership, preferably in a data analytics context. Proficient in agile methodologies and project management tools (e.g., JIRA, Trello). Can facilitate communication between technical teams and business units, providing insights to guide project direction. Proficiency in conducting user acceptance testing (UAT) and review deliverables to ensure they meet business expectations. Monitor KPIs and metrics to evaluate the success of data initiatives and recommend improvements. Desirable skillsets/ good to have: Bachelor s degree in Business Administration, Data Science, or related field. Strong knowledge of data analytics tools and methodologies. Has basic understanding of financial crime domain. Excellent analytical, communication, and interpersonal skills. Ability to interpret data and present it clearly to diverse audiences. This role will be based out of Pune. Purpose of the role To lead the development and execution of the banks Data Analytics strategy, aligned with the banks overall business goals and risk appetite, ensuring data is used effectively to drive business growth, optimise operations, and mitigate risks. Accountabilities Enablement of Business or Function Unit Strategy through fostering and embedding a comprehensive understanding of how data can be used, bringing thought leadership on best practices and new capabilities to deliver Business outcomes. . Adherence to data policies standards and controls and inform this over time, driving Data Quality in support of use cases. Partnership with the Business or Function leadership to lead the definition and prioritisation of data use cases, business data products and their implementation and realisation of benefit. Prioritisation of activity required for Data and Analytics and challenge the overall end to end design and architecture. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazons history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientists work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term sensitive content includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term content refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Position Summary: The Central Monitor II will play a key role in ensuring the quality and integrity of clinical trial data through centralized monitoring activities, statistical data review, and proactive risk management. This position involves leading the development of Risk-Based Quality Management (RBQM) plans, conducting study risk assessments, identifying study KRIs (in collaboration with Functional leads), performing ongoing centralized statistical monitoring, remote centralized data review, and facilitating monthly RBQM meetings. works independently and manages report review and issue escalation for more complex studies and/or portfolios of work. Further, the Central Monitor II may mentor junior colleagues, and may support the development of processes, procedures and other documentation to ensure a high functioning team Essential functions of the job include but are not limited to: Study Risk Assessment: Conduct thorough risk assessments for clinical studies, identifying potential issues and developing mitigation strategies, in consultation with functional team leads and PM Centralized Statistical Monitoring: Perform centralized statistical monitoring data analysis on study data to detect anomalies, trends, and potential risks, ensuring data accuracy and compliance. RBQM Meetings: support monthly RBQM meetings by supporting review of study data, documenting findings, action plans and coordination of data cleaning activities to support study deliverables Data Quality Assurance: Ensure the highest standards of data quality and integrity through proactive monitoring and timely interventions. Collaboration: Work closely with clinical operations, data management, biostatistics, and other departments to support proactive oversight and management and data cleaning for studies Reporting: Prepare detailed reports and presentations on monitoring activities, findings, and recommendations for sponsors and study teams. Operational Insights: Oversee operational study metrics, including data entry trends, SDV backlog, site health trending and proactively communicate issues to study team members to drive towards resolution proactive remediation Qualifications: Minimum Required: Bachelor s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience Minimum 2 years experience in clinical monitoring, clinical trial management or equivalent Working knowledge of ICH GCP guidelines and the clinical development process Other Required: Highly effective oral and written communication skills with the ability to communicate effectively with project team members Excellent organizational and time management skills Excellent written and spoken English, including strong grammar and scientific vocabulary skills Ability to work in a team or independently as required Strong understanding of RBQM principles and methodologies. Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems, clinical systems, dashboards, and to leverage these data to assess risk Proficiency in statistical analysis and data monitoring tools. Detail-oriented with strong analytical and problem-solving skills Preferred: CRO experience as a Central Monitor Skills: Statistical analysis and data monitoring Risk assessment and mitigation Report writing and presentation Collaboration and teamwork Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice . Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionFor . It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Position Summary: The Senior Central Monitor will play a key role in ensuring the quality and integrity of clinical trial data through centralized monitoring activities, statistical data review, and proactive risk management. This position involves leading the development of Risk-Based Quality Management (RBQM) plans, conducting study risk assessments, identifying study KRIs (in collaboration with Functional leads), performing ongoing centralized statistical monitoring, remote centralized data review, and facilitating monthly RBQM meetings. works independently and manages report review and issue escalation for more complex studies and/or portfolios of work. Further, the Central Monitor may mentor junior colleagues, and may support the development of processes, procedures and other documentation to ensure a high functioning team Essential functions of the job include but are not limited to: Lead Development of RBQM Plan: Collaborate with cross-functional teams to design and implement comprehensive RBQM plans tailored to each studys specific needs - including identification of critical data process, definition of KRIs QTLs and centralized monitoring approach Study Risk Assessment: Conduct thorough risk assessments for clinical studies, identifying potential issues and developing mitigation strategies, in consultation with functional team leads and PM Centralized Statistical Monitoring: Perform centralized statistical monitoring data analysis on study data to detect anomalies, trends, and potential risks, ensuring data accuracy and compliance. RBQM Meetings: lead facilitation of monthly RBQM meetings by supporting review of study data, documenting findings, action plans and coordination of data cleaning activities to support study deliverables Data Quality Assurance: Ensure the highest standards of data quality and integrity through proactive monitoring and timely interventions. Collaboration: Work closely with clinical operations, data management, biostatistics, and other departments to support proactive oversight and management and data cleaning for studies Reporting: Prepare detailed reports and presentations on monitoring activities, findings, and recommendations for sponsors and study teams. Operational Insights: Oversee operational study metrics, including data entry trends, SDV backlog, site health trending and proactively communicate issues to study team members to drive towards resolution proactive remediation Mentor and Support Junior Colleagues: Act as a mentor to more junior Central Monitors - sharing best practices, lessons learned, etc. to improve team performance Sponsor Engagement and Communications: support discussions with Sponsors around risk management and proactive data cleaning Qualifications: Minimum Required: Bachelor s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience Minimum 5 years experience in clinical monitoring, clinical trial management or equivalent Working knowledge of ICH GCP guidelines and the clinical development process Other Required: Highly effective oral and written communication skills with the ability to communicate effectively with project team members Excellent organizational and time management skills Excellent written and spoken English, including strong grammar and scientific vocabulary skills Ability to work in a team or independently as required Strong understanding of RBQM principles and methodologies. Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems, clinical systems, dashboards, and to leverage these data to assess risk Proficiency in statistical analysis and data monitoring tools. Detail-oriented with strong analytical and problem-solving skills Demonstrated experience with integrated risk planning management Ability to mentor junior team members Preferred: CRO experience as a Central Monitor Skills: Statistical analysis and data monitoring Risk assessment and mitigation Report writing and presentation Collaboration and teamwork Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice . Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionFor . It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Position Summary We are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. This role demands deep expertise in designing and governing data structures, ensuring data consistency, and leading data transformation initiatives across large-scale SAP implementations. Key Responsibilities Lead the data architecture design across multiple SAP modules and legacy systems. Define data governance strategies , master data management (MDM), and metadata standards. Architect data migration strategies for SAP S/4HANA projects, including ETL, data validation, and reconciliation. Develop data models (conceptual, logical, and physical) aligned with business and technical requirements. Collaborate with functional and technical teams to ensure integration across SAP and non-SAP platforms. Establish data quality frameworks and monitoring practices. Conduct impact assessments and ensure scalability of data architecture. Support reporting and analytics requirements through structured data delivery frameworks (e.g., SAP BW, SAP HANA). Required Qualifications 15+ years of experience in enterprise data architecture , with 8+ years in SAP landscapes . Proven experience in SAP S/4HANA data models , SAP Datasphere , SAP HANA Cloud SAC and integrating this with AWS Data Lake (S3) Strong knowledge of data migration tools (SAP Data Services, LTMC / LSMW, BODS, etc.). Expertise in data governance , master data strategy, and data lifecycle management. Experience with cloud data platforms (Azure, AWS, or GCP) is a plus. Strong analytical and communication skills to work across business and IT stakeholders. Preferred Certifications SAP Certified Technology Associate - SAP S/4HANA / Datasphere TOGAF or other Enterprise Architecture certifications ITIL Foundation (for process alignment) Technical Skills SAP S/4HANA Data Architecture Datasphere, HANA Cloud, SAC, BODS Data Services, LTMC /LSMW, SLT, CPI-DS SQL, HANA Native Modeling Integration with non-SAP systems Cloud Data Architecture (Azure/AWS/GCP) ETL/ELT and Data Quality tools Data Modeling Metadata Management

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . We are seeking a developer to design, develop, and maintain data ingestion processes to a data platform built using Microsoft Technologies, ensuring data quality and integrity. The role involves collaborating with data architects and business analysts to implement solutions using tools like ADF, Azure Databricks, and requires strong SQL skills. Key responsibilities include developing, testing, and optimizing ETL workflows and maintaining documentation. B.Tech degree and 5+ years of ETL development experience in Microsoft data track are required. Demonstrated expertise in Agile methodologies, including Scrum, Kanban, or SAFe. Mandatory skill sets ETL Development Preferred skill sets Microsoft Stack Years of experience required 4+ Education qualification B.Tech/B.E./MCA Education Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Required Skills ETL Development Optional Skills Microsoft Technology Stack No

Welcome to Veradigm! Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm is able to deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information. Position Description The Sr. Quality Assurance Analyst will act as product SME and work collaboratively with development and product teams to ensure a high level of data accuracy related to products delivered to our customers. The Sr. Quality Assurance Analyst will lead and enhance a comprehensive quality assurance program and provide full review and approval of data content related to new development, product enhancements and client production runs. This is a remote role. Responsibilities: Develop and Maintain a Robust Quality Assurance Program Solidify and improve the current quality assurance program supporting the data integrity and accuracy of our client deliverables Maintain the policies and procedures that govern the quality review and approval of client facing data Work collaboratively to share and capture best practices to support continuous improvement of the Quality Innovations program Support Development and Product Teams Work closely with the development and product teams to ensure the data quality assurance process is in place and adhered to including, new customer implementations, integrated and regression testing of updated code deployments, monthly customer production deliverables and continuous process improvement Develop and maintain acceptance criteria and automation to ensure adequate testing of data content and quality prior to providing customer access to deliverables and dashboards Perform quality assurance tests based on test scenarios and acceptance criteria Document and report any issues found and work collaboratively with the development and product teams to make necessary corrections Qualifications and Experience 2 - 3 years of experience with Selenium/similar tools Experience utilizing Azure DevOps/similar tools Experience utilizing Amazon Web Services (AWS) Familiarity with healthcare terminology related to the following: Medical, pharmacy, eligibility, and lab data HEDIS, 5-Star or QRS measure reporting and analysis 3+ years of experience providing integrated and regression quality assurance acceptance testing for data integrity and accuracy related to code deployments 3+ years of intermediate MS-SQL Server query writing and analysis Experience working in an Agile team environment Ability to work within a remote team environment Soft skills including but not limited to clear communication, collaboration, adaptability, teamwork and active listening Academic and Professional Qualifications BA or BS degree preferred and/or other relevant combination of training and experience and industry experience - healthcare analytics, information systems, hospital administration, quality assurance Veradigm is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce. Thank you for reviewing this opportunity! Does this look like a great match for your skill setIf so, please scroll down and tell us more about yourself!

BI Solutioning Data Engineering Design, build, and manage end-to-end Business Intelligence solutions, integrating structured and unstructured data from internal and external sources. Architect and maintain scalable data pipelines using cloud-native services (e.g., AWS, Azure, GCP). Implement ETL/ELT processes to ensure data quality, transformation, and availability for analytics and reporting. Market Intelligence Analytics Enablement Support the Market Intelligence team by building dashboards, visualizations, and data models that reflect competitive, market, and customer insights. Work with research analysts to convert qualitative insights into measurable datasets. Drive the automation of insight delivery, enabling real-time or near real-time updates. Visualization Reporting Design interactive dashboards and executive-level visual reports using tools such as Power BI, or Tableau. Maintain data storytelling standards to deliver clear, compelling narratives aligned with strategic objectives. Stakeholder Collaboration Act as a key liaison between business users, strategy teams, research analysts, and IT/cloud engineering. Translate analytical and research needs into scalable, sustainable BI solutions. Educate internal stakeholders on the capabilities of BI platforms and insights delivery pipelines Preferred: Cloud Infrastructure Data Integration Collaborate with cloud engineering teams to deploy BI tools and data lakes in a cloud environment. Ensure data warehousing architecture is aligned with market research and analytics needs. Optimize data models and storage for scalability, performance, and security. Total Experience Expected: 06-09 years Must Bachelor s/Master s degree in Computer Science, Data Science, Business Analytics, or a related technical field. 6+ years of experience in Business Intelligence, Data Engineering, or Cloud Data Ana

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure. Do you want to be part of a transformational journey at American Express, to realize the potential of our data assets to power the world s best customer experience? The Risk Data team within Risk Products & Data strategy develops and maintains risk data to cater to strategies for Anti-Money Laundering(AML) in addition to managing the structured Risk Data from internal as we'll as external sources. The team is responsible for applying data engineering principles to data requirements with a strong focus on data governance and data quality. We lead the transformation of critical risk data process on the legacy platforms to modern platforms and integrate them into risk systems. Our team collaborates with internal capabilities stakeholders like Data Architects, Business Architects and partners to decide on the right data design/model We are looking for a strategic, experienced individual for the role of Manager, responsible for partnering across business units, enterprise technology teams, and product/platform teams. Develops deep understanding of business logic, intent and long term objectives to align priorities and develop long life solutions. Role & Responsibilities: The Manager in this position will have Anti-Money Laundering(AML) data ownership and governance. The incumbent would be leading a team of 3-4 data analysts and partner closely with credit strategy and compliance teams in building best in class data assets to cater for production use cases and analytical needs, while maintaining strong data governance and quality control framework. The candidate will be responsible for: End to end ownership of all data related to AML across platforms and processes Subject matter expert for the work stream he/she leads with in-depth knowledge of risk systems and processes. Thought leadership for the respective workstream he/she leads Ability to create a strategy and roadmap for the initiatives he/she is leading Responsible for ensuring data engineering principles are applied to each data requirement Risk data ownership for data used in our production use cases and analytics Define data quality controls (like detective, preventive, B&Cs) for batch and real time data & partners with tech teams for implementation Lead the transformation of critical risk data process on the POD platforms to Cornerstone and integrate them into risk systems Lead the development of capabilities to reduce manual operations and prevent operational risk Collaborate with internal capabilities stakeholders like Data Architects, Business Architects and partners to decide on the right data design/model Educate stakeholder community on the usage of risk data Reviewing and updating metadata and lineage standards and process guides published by the Enterprise Data Governance team Minimum Qualifications: The position needs to have in depth knowledge of Amex Credit Risk Systems 3-4 years of hands on experience working on large size Capability or Analytical projects Credit/Fraud risk management experience and understanding of credit lifecycle is preferred Advanced Communicator Thought leadership and solution-oriented mindset Ability to think strategically and set POA direction Ability to build strong relationships in a cross-functional environment. Clear, effective written and oral communication skills Strong Analytical Skills Proficient in collaboration to drive results Deep understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc) Preferred experience with Python, Hive, SQL, Hadoop Graduate degree in Computer Science, Mathematics, Statistics or Engineering Proven track record of driving results in a fast-paced environment often with significant ambiguity and needing to make decisions with less than perfect information. Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Development Data Enablement team is responsible for implementation of data management solutions and adoption of data management strategies across Drug Development line functions, with particular emphasis on delivering Data Engineering, Integration, Master Data Management, Metadata Management and Data Quality initiatives. The team is responsible for adoption of Enterprise Data Management principles and guidelines across Development systems to help improve data maturity & reliability, complying with Data Governance, Data Management Framework and Data Architecture Standards. In this role, your principal responsibility is to adopt and implement the data architecture across diverse data management initiatives. This role demands close collaboration with a wide range of team members including stakeholders, data leaders, SMEs, architects, modelers, and data engineers. The ideal candidate should possess a robust background in data architecture. The role reports to Data delivery lead in Data, Analytics and DS&AI for Development domain. Key Responsibilities: As a Data Architect, your main responsibilities will be to apply your deep expertise in defining how the data will be stored, consumed, integrated and managed by different entities and IT systems. Contribute to the creation and adoption of the data strategy in close cooperation with Enterprise Data Owners & Enterprise Data Architects. Define function specific data, by defining and documenting the conceptual and logical models, establishing the business process definitions of the data and use of taxonomies to establish relationships between the data. Contribute to the creation and documenting of Enterprise conceptual and logical models while ensuring solutions are aligned and documented according to Novartis data architecture principles. Collaborate closely with domain- and solution-architects to design solution-architectures that comply to all Novartis standards. Define and Track Key Performance Measures related to data architecture deliverables. Define and maintain data landscape/data-flow for the respective domain. Responsible for Data Architecture review as part of demand management including deliverables such as Data Flow Design, Data Landscape, Data Model. Articulate solutions /recommendations to business users. Provides pathways to manage data effectively for analytical uses. Coordinates, prioritize and efficiently allocates the team resources to critical initiatives: plans resources proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and enable the team to drive issues to resolution, balances multiple priorities and minimizes surprise escalations. Collaborates with internal stakeholders, external partners and Institutions and cross-functional teams to solve critical business problems, propose operational efficiencies and innovative approaches. Ensures exemplary communication with all stakeholders including senior business leaders Ensure on time, within budget, compliant, secure, and quality delivery of portfolio of projects in Data Analytics and DS&AI. Assists Project IT teams during full lifecycle of execution including gaps assessments, cost estimations, data architecture and execution. This role requires working with senior stakeholders in business, operations & technology to implement and adopt data management roadmap. Education & Qualifications Bachelors degree in computer science, engineering, or information technology discipline; an advanced degree and related accreditations a plus. Experience A seasoned professional with 12+ years of total work experience, of which 8+ years are dedicated to Data Architecture design, creation, and management, leading data architecture initiatives. Deep understanding and significant experience with data modeling, metadata technologies, data governance tools, and data management principles. Equipped to handle complex enterprise-level data architecture design and maintenance. Demonstrable experience in aligning data architecture with business strategy, effectively communicating technical concepts to non-technical stakeholders, and leading cross-functional teams for data architecture projects. Proficiency in managing data governance processes and ensuring adherence to data regulations and privacy standards. Solid problem-solving skills in addressing data architecture challenges and performance issues, as we'll as the ability to fine-tune data models for scalability Adept at working with Data Governance Frameworks like DCAM, DAMA-DMBOK, and others, and implementing such principles into existing structures. 8+ years of relevant experience in Data Management 5+ years of relevant experience in Pharma Life Sciences. Technical / Functional Skills & Knowledge Key skills include the ability to implement a data strategy, maintaining data governance frameworks, proficiency in designing and maintaining data models, knowledge of data integration techniques and tools Knowledge and experience of data security practices, big data and visualization technologies, Data Quality implementation tools and ETL tools (Databricks) is expected of this role. Industry Knowledge: Deep understanding of Pharma Life Sciences industry, its data needs, and regulatory requirements, along with a grasp of data governance frameworks like DCAM, DAMA-DMBOK. Demonstrated strong interpersonal skills, accountability, written and verbal communication skills, and time management aligned with Novartis Values & Behaviors; deep technical expertise and understanding of the business processes and systems. Customer Orientation: Proven ability to communicate across various stakeholders, including internal and external, and align with all levels of IT and business stakeholders. Hands on experience with data governance, data quality, and master / reference data tools such as Collibra, Informatica Data Quality, Reltio, Tibco EBX and SQL.

We are seeking an experienced Data Engineer to lead a small team of data engineers in leveraging AWS native technologies such as Lambda and Glue to build a data Lakehouse environment. The ideal candidate will have a strong background in data engineering, a deep understanding of AWS services, and proven leadership skills JOB FUNCTIONS AND RESPONSIBILITIES Lead and mentor a team of data engineers, fostering a collaborative and innovative environment. Design, develop, and maintain scalable data pipelines using AWS native technologies including AWS Glue, Lamda etc Implement best practices for data management, including data quality, data governance, and data security. Ensure high standards by reviewing architecture, design, and code. Collaborate with cross-functional teams to deliver and operate large scale, distributed services in the cloud Optimize data workflows for performance and cost-efficiency. Own system architecture, scalability, reliability, and performance Stay updated with the latest advancements in AWS technologies and data engineering practices EDUCATION / EXPERIENCE BE/B Tech/MSc/MCA - with Specialization in Computer Science/Information Systems. 5+ years of non-internship professional software development experience Experience with AWS components to build and expand lake house in AWS Experience building Python programs across Glue ETL jobs and Lambda functions Design & Build S3 buckets, tiers, lifecycle policies, as strategic storage layer for Data Lake Experience building applications based on data in both Relational databases (eg MySQL), NoSQL databases (eg DynamoDB, MongoDB) and filesystems (eg S3, HDFS) Require 3+ hands-on experience on AWS S3, Spark,Glue ETL & Catalog, Lamba Functions, Athena & Kafka 2-3 years of experience in writing SQL Queries. Certified on one of - Solution Architect, Data Engineer or Data Analytics Specialty by AWS

We are looking for a dedicated and detail-oriented Associate Data Researcher to join our Data Research Team. In this role, you will support the team in gathering, analyzing, and interpreting complex datasets to drive insights and decision-making across various projects. Your work will directly contribute to advancing our understanding of key data trends, enhancing research capabilities, and ensuring the integrity of the data used in decision-making processes Key responsibilities Assist in gathering and compiling relevant datasets from internal and external sources to support research initiatives. Conduct data cleaning and validation to ensure accuracy and consistency is maintained across research projects. Collaborate with senior researchers to brainstorm and execute data research projects Assist in maintaining data quality by conducting regular data audits and performing quality control tasks. Provide ad-hoc research support as needed for ongoing or new projects within the data research team. Ensure the data is entered correctly and in the expected format Note any discrepancies, non-conforming data, or other issues and escalate it if necessary Qualifications At least 1-2 years of experience in data research Good written and verbal communication skills. Attention to detail with the ability to work accurately under tight deadlines

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist. In this role, you will: Collaborate with the Product Owner to manage and prioritize analytics-related backlog items, ensuring readiness and alignment with business goals. Refine and groom analytics stories, focusing on data pipelines, dashboards, and model requirements. Identify and raise RAAID items related to data quality, integration, and analytics deliverables. Update stakeholders on progress against milestones, emphasizing analytics metrics and deliverables. Facilitate Agile ceremonies with a focus on analytics tasks, ensuring alignment on data dependencies and blockers. Work with cross-functional teams to resolve impediments related to data access, tooling, or infrastructure. Monitor analytics deliverables to ensure high-quality outputs and adherence to best practices. Contribute to testing strategies, including automation for data pipelines and validation of analytics outputs. Ensure technical solutions for analytics (e. g. , models, visualizations) are reviewed and approved. Produce JIRA-based reports on analytics tasks, identifying trends and opportunities for improvement. Share analytics best practices and promote continuous improvement within the team and across IT Surveillance. Support the adoption of scalable and efficient analytics tools and frameworks. Requirements To be successful in this role, you should meet the following requirements: Must have: 6-11 years of relevant experience. Strong markets knowledge across a range of products: FX, Equities, Equity Derivatives, Fixed Income, Futures, Swaps, Energy, Metals, with the ability to analyze and interpret market data to support business decisions. Excellent Front to Back (full) Trade Lifecycle knowledge, including the ability to track and analyze trade data for reporting and insights. Practical experience in functional analysis and design, utilizing methodologies like Use Cases and Business Process Modelling, with a focus on analyzing data flows and system interactions in both Waterfall and Agile environments. Proficient in requirements elicitation, functional design, and problem-solving, with a structured approach to analyzing data requirements and ensuring data accuracy. Ability to translate business and data requirements into clear, actionable specifications for developers, ensuring alignment with analytics objectives. Expertise in Agile engineering practices (e. g. , Scrum, Kanban, LEAN), with experience in managing analytics tasks and deliverables within Agile frameworks. Hands-on experience with JIRA and Confluence for managing requirements, tracking analytics tasks, and documenting data workflows. Good knowledge of XML for mapping, linking, and transforming data across systems, ensuring data consistency and integrity. Accountability for delivery, taking ownership of analytics tasks and ensuring timely resolution with minimal supervision. Strong communication and interpersonal skills to collaborate with global stakeholders, present data-driven insights, and manage relationships effectively. Ability to analyze, visualize, and interpret data to support decision-making, leveraging analytics tools and techniques for data analysis and reporting. Good to have: Have a postgraduate degree in Finance / CFA / FRM Some experience in trade surveillance, regulatory reporting and market abuse Disciplined Agile and SAFE framework experience Experienced in working with resources in geographically dispersed teams, appreciating and respecting local cultures Front Office IT experience An appreciation and experience of working on projects that are driven by Regulatory Mandate, and be able to articulate the challenges that such projects often encounter, and the ways in which they ve been able to achieve success in such areas Basic knowledge of Unix, SQL (or any database), Flat file based manual testing

Position Specifications: Corporate Title Analyst Functional Title Analyst Experience 1-3 years Qualification Graduate/MBA Requisition No. Role & Responsibilities: Setup and maintain Client static data in Reference Data applications and other upstream/downstream systems. Ensure data quality and accuracy of execution. Ensure all tasks/activities are processed as per the SLA. Maintain a good control environment adhering to the procedures and ensure that the team operates within the guidelines. Adhere to Control Standards and Compliance guidelines for static maintenance Mind Set: Mandatory Desired Domain Sound knowledge on financial industry Strong ability to work with in teams Excellent written and verbal communication skills Good interpersonal skills necessary to work effectively with global stakeholders. Good organizational skills to support multiple lines of business which is time sensitive Technical Solid understanding of Reference Data i.e. Entity data including client account set up process, Client Hierarchy maintenance, Standard settlement instructions set up and client call back process. Basic understanding of middle office booking and settlements flows Nomura Leadership Behaviours: Leadership Behaviours Description Element Exploring Insights & Vision Comprehensively analyse the nature of the problems we face and set our focus toward the future vision Gather Intelligence Create a vision Identify an issue Making Strategic Decisions Analyse options and feasibility to resolve issues, in making judgments and recommendations Identify countermeasures Assess feasibility Make a judgment Inspiring Entrepreneurship in People Promotes the vision and goals to others in such a way that inspires commitment and independent contributions Influence Inspire Commit Elevating Organizational Capacity Maximize organizational productivity through leadership development and engagement Have an ownership in own development Support other s growth Encourage organizational growth Inclusion Respect diverse perspectives and promote psychological safety and the creation of a risk culture Foster psychological safety Encourage the active participation of all talent Foster a risk culture

Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. What You ll Do on a Typical Day : This role sits within the CX Data & Operations team in the Customer Analytics org. We have the operational ownership and responsibility to work collaboratively across business and technology. The position requires a blend of strategic and multidimensional thinking, strong communication skills, and a passion to influence how our processes are improved. We re seeking a proactive and detail-oriented Business Systems And Operations Senior Analyst to join our CX Data & Operations team. In this role, you ll be responsible for analyzing data, data quality, troubleshooting, issue resolution, as well as building and maintaining automations. Your technical capabilities will be used across multiple proprietary and non-proprietary tools. Collect, manage, and analyze customer feedback data using Qualtrics and other analytics tools. Build and maintain dashboards, trackers, and automated reports for CX metrics. Identify trends, root causes, and opportunities for experience improvements using structured analysis. Collaborate with stakeholders to define requirements, validate data, and track progress of CX initiatives. Present findings and actionable recommendations through clear and concise reports and presentations. Troubleshoot data flow or reporting issues independently and escalate when necessary. Maintain and streamline document and survey process management, ensuring version control and compliance. Monitor, prioritize, and action support tickets related to surveys, dashboards, or data issues, while meeting defined SLAs. Stay current on customer experience best practices and emerging analytics tools .Provide support to team members on tools, workflows, and documentation as needed. What We re Looking For : Bachelor s degree in business, Analytics, or related field. Minimum 3 years of relevant experience with data analysis, data reporting, or operations. Experience with Qualtrics is a plus, but strong proficiency is essential. Proficient in Microsoft Excel, Access, Word, PowerPoint, Outlook Proficient to intermediate level skill set in Alteryx Experience with SQL (Hive), JavaScript, CSS, HTML, JSON preferred Familiarity with SharePoint List creation and maintenance Strong analytical and critical thinking skills. Proven business acumen refers to the demonstrated ability to effectively understand and navigate business situations, making informed decisions that lead to positive outcomes. Excellent communication skills able to explain complex data clearly and confidently. Proven track record of independent task ownership and follow-through Ability to manage multiple priorities in a deadline-driven environment High attention to detail and process integrity. Strong collaboration skills, with ability to work across global teams and time zones Familiarity with customer experience metrics (e.g., CSAT, NPS) is an asset Location Gurgaon, India The #TeamGBT Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family . Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! A ll applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement .

Role: MDM Senior Process Associate Location: Kharadi, Pune As a member of the Customer and Vendor Centre of Excellence team, this role provides global support for vendor and customer master data processes, ensuring timely and accurate processing of creation and change requests. Responsibilities include coordinating and resolving processing, reporting, and conflict issues within the MDM team while supporting processes across diverse ERP systems such as SAP and Axapta and various workflow tools like Syndigo, Winshuttle, Appian, EFlow, and SNOW. This position necessitates close cooperation with internal customers and vendors to understand and effectively address daily challenges, contributing to the overall efficiency and accuracy of master data management. What will you be doing? Technology: ERP & Workflow Management Process master data requests across diverse ERP systems (SAP PR1, EPR, PRD, S4HANA, AXAPTA) and workflow tools (Syndigo, Winshuttle, Appian, EFlow, SNOW). Develop, maintain, and resolve Winshuttle scripts for automation. Perform mass data uploads using Syndigo and Winshuttle. Map SAP vendors with Ariba. Process, Improvement, DQO, Documentation Complete master data transactions (build, amend, extend) for vendors, customers, and employees. Generate master data reports from ERP systems based on partner requests. Coordinate and resolve processing, reporting, and data field conflicts within the MDM team. Participate in data harmonization and MDM process improvement workshops. Provides data governance and ensures data integrity by coordinating data management efforts across the organization. Identify gaps in policies and raise issues to the manager, finance approver, or Data Quality Organization (DQO) as necessary for resolution. Create and update MDM knowledge articles and standard operating procedures. Follow vendor and customer master data quality standard processes. Follow standards/guidance for master data auditing, validating, and cleansing. Support data migration from the legacy system. Maintain the MDM Standard Operating Procedures and Data Dictionary. Assist in defining and documenting global MDM processes. Implement customer, employee, & vendor master data quality standard processes. Build training materials and documentation and implement training using the appropriate tools, where appropriate. People & Collaboration Attend relevant workshops for requirements gathering. Ability to work in a distributed team setting and fast-paced environment. Coordinating with internal collaborators and internal teams. Leading engagement activities or knowledge bytes for the team. What will you need to be successful? Education : A bachelor s or masters degree in commerce is required; equivalent experience is good to have! Should have 4+ years of MDM experience required; vendor and customer master data within a global environment would be beneficial. Experience working in Winshuttle/Appian is preferred. Should have strong and demonstrable experience in SAP, including mass uploads in SAP. A perfect understanding of data management principles and standard processes. Effective relationship-building skills capable of cultivating strong partnerships with coworkers and senior leadership. Excellent research, communication, and presentation skills are required, and fluency in the English language is required. Flexible to work in non-US or US shifts till 2:30am IST as per requirement. Advanced Microsoft Excel skills. Data analysis skills. Ability to participate in an international project group. You. Unlimited. We believe in crafting the greatest good for society. Our strongest investments are in our people and the patients we serve. Inclusion, Diversity and Equity- Committed to Welcoming, Celebrating and Thriving on Diversity, Learn more about Employee Inclusion Groups on our website ( https://www.smith-nephew.com/ ). Other reasons why you will love it here! Your Future: Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance. Work/Life Balance: Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave. Your Wellbeing: Parents/Parents in Law s Insurance (Employer Contribution of 7,000/- annually), Employee Assistance Program, Parental Leave. Flexibility : Hybrid Work Model (For most professional roles) Training: Hands-On, Team-Customized, Mentorship Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowances. #LI-DP1 Stay connected and receive alerts for jobs like this by joining our talent community . Were more than just a company - were a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day. Check our Glassdoor page for a glimpse behind the scenes and a sneak peek into You . Unlimited . , life, culture, and benefits at S+N. Explore our new website and learn more about our mission, our team, and the opportunities we offer.

Responsibilities Big Data - Spark, Hive, Java, CDP, 6 Years + with 3 Years of Dev experience on Big Data Analyze data requirements and identify disparate data sources required for consolidation and distribution. Document functional specifications and coordinate delivery of the same with technology team. Review logical and conceptual data models in alignment with business requirements. Work with the stakeholders to understand and gather requirements and produce business specifications Validate solution implementations and ensure they meet business and functional requirements. Provide production deployment support and investigate data quality issues. Work with various technology leads to ensure the gaps in the data completeness or accuracy are bridged. Qualifications Subject matter expertise in financial industry - wholesale loans /lending business OR Capital Markets or Finance or Risk Reporting Strong hands on experience with database and SQL is required. Excellent documentation, analytical skills to produce process flow diagrams, business modelling, and functional design. Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis. Experience with Data tracing/ Lineage efforts Knowledge of logical and physical data model

Job Title: Consultant - Integration Developer Career Level: C3 Introduction to role Are you ready to disrupt an industry and change lives? As a SnapLogic/MuleSoft Consultant, youll be part of the SDC application development team at our cutting-edge IT facility in Chennai. Your mission? To enhance the capabilities of the Veeva COE integration team across the US and Global space. Dive into assessments, propose innovative designs, and implement solutions that make a difference. Collaborate with center of perfection members, testing, and release engineering teams to ensure successful deployment of implementations to production environments. Are you up for the challenge? Accountabilities 4+ years of proven ability in Snaplogic Own development work assigned for each release/project in Mulesoft. Understand business requirements and ensure implementation is reviewed by tech leads. Ensure effective downstream integration and data quality fit for business purposes. Complete tech assessments for each CR, log in JIRA, and follow AGILE methodology. Troubleshoot integrations. Create documents related to implementation and ensure transition to service. Coordinate with Test and Release engineering team for defect management and successful deployment of improvements to production tenants. Essential Skills/Experience Development experience of working in Sales & Marketing Portfolio preferably in Life Sciences Industry. Technical hands-on experience in: ETL Technology: Snaplogic or any ETL Tool iPass: Databricks Database: Oracle/Postgres, SQL, PL/SQL Hands-on experience in LLM, Python, Java, ML is an added advantage. Hands-on experience in APIs, Postman, Rest Services. Integrating with Salesforce is an added advantage. Good understanding of Data Process Flow Configurations & Designs. Experience with Web Services Integration and APIs. Experience in the CICD process. Experience in Agile methodology. Superb communication, interpersonal, and organizational skills. Ability to solve complex problems. Work as a member of a team. Ability to meet tight deadlines. Ability to decipher highly technical data. Ability to multi-task in a constantly evolving work environment. Desirable Skills/Experience When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. Thats why we work, on average, a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and bold world. At AstraZeneca, youll be part of a team with the backing and investment to win. Our work has a direct impact on patients, redefining our ability to develop life-changing medicines. We empower the business to perform at its peak by combining ground breaking science with leading digital technology platforms and data. With a passion for impacting lives through data, analytics, AI, machine learning, and more, youll be at the forefront of digital healthcare. Shape and define the technologies of the future with the support you need from across the business. Ready to make a meaningful impact? Apply now and join us on this exciting journey! Date Posted 02-Jun-2025 Closing Date 01-Jul-2025

Location(s): Noida-Greater Noida Expressway, Sector - 129, Plot No. C3-C, Noida, Uttar Pradesh, IN Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Must have more than 7+ Years of experience in Catastrophe Modeling Domain Strong knowledge of using Moody s RMS Models is required with relevant 6 years of experience. Strong analytical and problem-solving abilities. Strong database and data mining skills - Good knowledge of Excel, Access, and SQL is required. Excellent written and verbal communication. Collaborative and stakeholder management R, VBA, Power BI and Python knowledge is preferred. Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As the Assistant Director of Risk Management, you will lead client-facing risk analytics initiatives, overseeing activities such as requirement scoping, report design, data preparation, modeling, and result presentation. Prior experience in leading a risk analytics team-either in full or in part-is highly advantageous. The role requires outstanding communication and presentation skills, along with the ability to navigate and collaborate within a global, matrixed organization. As a technical expert, you will be expected to demonstrate strong problem-solving abilities and take an active role in mentoring team members to strengthen both their technical expertise and business understanding. Exhibit in-depth knowledge of Moody s RMS models (model methodology, schema) Hands-on end-to-end account modeller and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end. Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies. Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Own project compliance by ensuring processes, guidelines and SOPs is followed Manage client escalations, minimize potential issues Ensure continual improvement through efficiency improvement through process reengineering or automation ideas Manage high performing assets, groom process champions Support client onboarding from Transition to "Business-As-Usual" phase by collaborating with other RMS teams. Interface with Moody s RMS client development and other technical teams on client engagements. Support vertical head and new opportunities team for developing new service lines. About the team Our Analytical Services team is dedicated to providing clients with advanced catastrophe insights and deliverables, leveraging Moody s RMS models and programming tools. Our department Analytical service aligns with Moody s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.