• Partner with business and technical teams to establish and operationalize data governance practices • Influence how data is defined, captured, and used across multiple lines of business • Drive improvements in data quality, integrity, and consistency through root cause analysis and stakeholder collaboration • Define and maintain data definitions, metadata, and lineage to ensure transparency and trust • Support the rollout and adoption of data governance tools (e.g., cataloging, data quality platforms) • Help shape AI-ready data practices, ensuring data is structured, complete, and fit for advanced analytics • Embed governance standards into day-to-day workflows—not just policies on paper • Contribute to data privacy, compliance, and risk mitigation efforts • Establish visibility into data health through metrics, monitoring, and reporting • Act as a key driver in building a culture where data is treated as a strategic asset

Role Description Looking for motivated individuals who want more out of their income and career. This is a remote opportunity where you’ll work directly with individuals who have requested help understanding their financial protection options. No cold outreach. If you’re someone who is competitive, coachable, and willing to put in the work, this can be a strong income opportunity with long-term growth. What You’ll Be Doing - Speak with clients who have requested information - Help families understand available benefit options - Guide clients through a simple enrollment process - Build long-term relationships and client portfolios Qualifications - Individuals tired of capped hourly income - Competitive, self-motivated people - Those willing to learn and follow a proven system - Sales experience is helpful, but not required Requirements - Those looking for a fixed hourly paycheck - Individuals unwilling to be coached - People who need constant supervision Benefits - Pre-qualified inbound leads (no cold calling) - Step-by-step training system (no experience required) - Remote work environment - Flexible schedule (full-time or part-time) - Ongoing mentorship and support - Performance-based income - Competitive commissions with unlimited potential - Opportunities for leadership and team-building Next Step If you’re open to learning more, apply to schedule a quick overview of the role and see if it’s a fit. *All interviews will be conducted via Zoom video conferencing. (Global Elite Empire Consultants is a third-party recruiter, not an insurance agency) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Oversee Mass Advantage's risk adjustment activities and strategy. • Execute Medicare risk adjustment programs to fulfill business objectives. • Manage external vendors and conduct regulatory audits and compliance. • Analyze Medicare revenue initiatives for senior products. • Coordinate risk adjustment initiatives across departments and provider partners.

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. How you will contribute You will: - Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling - Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights - Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results - Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data - Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy - 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 - 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: - Strong quantitative skillset with experience in statistics and linear algebra. - A natural inclination toward solving complex problems - Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it - Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons - Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc. - Good communication skills to promote cross-team collaboration - Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc. - Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders Relocation Support Available? No Relocation support available Business Unit Summary We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our succes 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. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER Job Type Regular Data Science Analytics & Data Science