Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. S4/o9 Manager, Data Job Description Summary You will be crucial in supporting our S4/o9 program and business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to govern, maintain and use data for business solutions/insights. How you will contribute o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9 o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully. o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy. o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments. o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles. o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards) o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision o Good communication skills to promote cross-team collaboration o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus) o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc). More about this role Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. How you will contribute o Be part of AMEA S4/o9 program team and contribute to build foundations for data capabilities in AMEA o Drive your expertise and know-how in the business processes and data space; particularly but not restricted to supply chain that encompass E2E planning, Customer Services and Logistics as well as Manufacturing. Other functional business are Finance and Sales. Data space encompass business data / master data/ transactional data required for S4/o9 o Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the Program team and Business. Work with stakeholders to determine how to best prepare and set data for S4/o9 program to be delivered successfully. o Develop processes, techniques, and tools to analyze and monitor data model enablement & performance while ensuring data quality and accuracy. o Support in the activation of data governance and quality model to support both the implementation and ongoing maintenance of the S4/o9 environments. o Work with business stakeholders to build data ownership and stewardship for the data governance and quality model and requirements, supporting them to identify individuals to fil the various data governance personas roles. o Support the set up and activation of a Data Governance community within business functions, that also links to a wider business data governance organization o Work jointly with change management team to help and support in definition in functional business data change management, training needs - to onboard data governance personas and support them in their ownership/stewardship activities o Support the delivery and deployment of Enterprise Governance and quality tools (data cataloging, data quality rules, data quality dashboards) o Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data o Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: o Knowledge and experience in business data, master data, metadata, transactional data, advanced statistical techniques and concepts o Knowledge in business processes, particularly in supply chain space, what type data are used, consumed and exploited to run the business operation and take decision o Good communication skills to promote cross-team collaboration o Data knowledge/experience: data modelling and flows. (coding, Java, JavaScript, C, C++, etc will be a plus) o Ability to use data visualization tools to showcase data for stakeholders. Experience/knowledge in statistics and data mining techniques will be a plus (random forest, GLM/regression, social network analysis, text mining, etc). No Relocation support available Business Unit Summary Headquartered in Singapore, Mondelēz International's Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Provider Data Services Specialist for the Claim Pend team, is responsible for researching, analyzing, and resolving provider-related claim pends to ensure timely and accurate claims adjudication. This role focuses on resolving pended claims caused by provider data, contract, affiliation, or configuration of issues within claims and provider systems. The analyst partners closely with internal Provider Data, Claims, Quality, and Implementation teams to reduce inventory aging, meet turnaround time (TAT) requirements, and maintain compliance with state Medicaid guidelines. Key Responsibilities - Research and resolve provider-related claim pends using internal systems (e.g., claims and provider modules). - Analyze pend root causes related to provider enrollment, contracting, affiliations, specialties, pay-to relationships, and configuration issues. - Update provider records and/or route claims appropriately to allow claims to continue through adjudication. - Apply state-specific Medicaid requirements and business rules when resolving claims. - Document actions clearly and accurately in claim memos and tracking tools. - Manage assigned inventory daily, prioritizing aged and high-impact claims to meet established TAT and productivity standards. - Identify trends in pended claims and escalate systemic issues to leadership or appropriate partners. - Collaborate with Provider Data, Claims, Quality, Automation (BOT), and Implementation teams to improve workflows and reduce repeat pends. - Support audit and quality review activities by providing documentation and responding to findings. - Follow established procedures, job aids, and compliance standards. Required Qualifications - 1–3 years of experience in healthcare operations, claims processing, provider data, or related roles. - Strong analytical and problem-solving skills with attention to detail. - Ability to interpret policies, procedures, and state-specific Medicaid requirements. - Proficiency in navigating multiple systems and tools simultaneously. - Strong written communication skills for documentation and claim memo entry. - Ability to manage workload independently in a production-driven environment. Preferred Qualifications - Experience working claim pends, provider data, enrollment, or contracting issues preferred. - Experience supporting Medicaid or government programs. - Familiarity with provider data systems, claims platforms, or healthcare configuration tools. - Experience working with production metrics, quality audits, or compliance standards. - Prior experience identifying trends or contributing to process improvements. Education - High school diploma or equivalent required; associate’s or bachelor’s degree preferred. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $17.00 - $28.46 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 04/21/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Acts as liaison between software development and data sciences teams to ensure development of robust data architecture foundation and database design • Assists in gathering requirements, writing user stories, and maintaining detailed specifications for the Syncrony EDC product • Designs operational reports, study dashboards, and data visualizations for study sponsors, site coordinators, and other key stakeholders • Ensures integrity of data and consistency of data delivery for data-related projects • Designs, optimizes, and maintains data pipelines for integration and transformation of diverse and complex datasets into required formats for loading, reporting, and/or analysis • Oversees database builds as needed; assists in database validation; assesses data impact upon subsequent changes and recommends strategies to maintain data integrity • Identifies opportunities for improvement; implements optimizations for data flow and collection and automates manual processes • Supports stakeholders with issues relating to data and data infrastructure; suggests strategies to improve data quality and integrity • Extracts, transforms, and loads data from outside clinical databases into the Syncrony EDC system • Maps, integrates, and reshapes data from clinical databases and large-scale registry studies to facilitate pooled analyses • Develops and maintains SOPs for database development and data mapping, integration, and/or migration projects • Identifies new opportunities for data acquisition and analysis • Develops SOPs for standardized study reporting frameworks to provide to all Syncrony EDC clients • Conducts training sessions for internal and external stakeholders on supported tools for data management and analytics.

• Diseñar, desarrollar, probar y desplegar pipelines y plataformas de datos utilizando servicios de AWS. • Construir y evolucionar arquitecturas de datos como data lake, lakehouse o data mesh. • Desarrollar soluciones de datos end to end, incluyendo frameworks reutilizables y no solo pipelines individuales. • Colaborar de forma activa con perfiles de Data Engineering, Analytics y DevOps para entregar soluciones de alto valor para el negocio. • Asegurar el cumplimiento de políticas de gobierno del dato, seguridad y gestión de la información. • Liderar la resolución de incidencias relacionadas con datos y participar en procesos de gestión del cambio, demostrando ownership de los proyectos desde su inicio hasta su entrega.