Job Description Job Summary: Develop and oversee enterprise clinical data management strategy and governance activities to optimize payer-provider clinical digital data exchanges for completeness, accuracy, and regulatory compliance while maximizing efficiency and value to Molina Healthcare and our providers. Lead enterprise discovery to inventory Use Cases for bi-directional clinical data exchange and digital transactions across the enterprise. Develop a strategy and a prioritized roadmap for enhanced data capabilities that increase efficiency through technology, create enterprise value, and elevate Molina as a preferred payer partner to providers. This role is also responsible for establishing data policies, standards, and report on key metrics. This leader will collaborate with leadership to align business priorities, budget, and technology innovation related to clinical data management. Purpose: This initiative establishes an enterprise-level strategy and governance model to address fragmented payer-to-provider clinical digital data exchanges that no single Molina function can solve independently. Independent decisions to deploy new capabilities and scale across COE, Quality, Risk, Clinical, UM, Payments/PI, and related teams have resulted in redundant data sources, duplicative provider interactions, avoidable cost, and inconsistent and/or abrasive provider experience. Today, there is no single enterprise forum where a holistic strategy is defined and where data capability roadmap and trade-off decisions are made. As we further expand CDE sources and technologies, such as the Epic Payor Platform, as well as rapidly evolve to digital regulatory mandates, these inefficiencies and issues will only increase without rationalization, on ongoing “living” strategy, and a forum to make enterprise investment decisions. Objectives The objectives and outcomes of the CDE Strategy Group will be three-fold - Enterprise Discovery - Inventory major use cases for bi-directional clinical data and digital transactions across the enterprise - push, pull, chase – to create or amplify value. - Document industry best practices and trends (including AI), regulatory requirements for digital data and electronic transactions, and provider abrasion factors. - Evaluate the completeness, accuracy, acquisition efficiency, and cost of each data source. - Strategy – Develop a strategy and a prioritized roadmap for improvement across data capabilities and functions with associated business cases, which also elevates Molina as a preferred payer partner to providers. Roadmap should address the impact of digital advances on the composition of various staffing, departments, partners in a multi-year roadmap. - Governance – Establish a governance process for collaborating across the enterprise (business and IT), and for adding new data sources, technologies, and partners. Knowledge/Skills/Abilities - Experience product managing clinical data acquisition including EMR and other data source integrations, data source rationalization, business case development, and build-buy decisions - Manages and leads high-performing, cross-functional teams throughout large-scale data management and governance initiatives; drives a culture of continuous improvement to ensure timely delivery of all commitments. - Collaborates with enterprise clinical and risk functional areas to enhance or create solutions. - Analyzes current business practices, processes and procedures, and collaborates with enterprise clinical, risk, and payment functional areas to identify business opportunities and regulatory mandates to enhance or create solutions. - Ability to understand, synthesize, and communicate complex business requirements into a prioritized solution roadmap. - Designs and oversees clinical data governance bodies (e.g. steering committee, data councils, etc.) and policies, standards, and KPIs as well as identifies roles and responsibilities. - Collaborate with IT Leadership to assess and size clinical data solutions to ensure that accurate and complete data is accessible and available to support operations and management decision-making. - Communicates the business value forecasted and achieved to key stakeholders and reports project statuses and needs to Leadership regularly. Job Qualifications Required Education: Bachelor's degree in computer science, data analytics, information technology, or similar field. Required Experience:10+ years of related clinical data experience. Preferred Education: Master's or other Graduate degree. Preferred Experience - 5+ years of management experience with demonstrated experience in strategic planning and implementation. - Deep healthcare industry expertise with extensive knowledge of industry best practices. - Proven history of executing change management and building credibility with key stakeholders to drive organizational change. - Strong critical-thinking and strategic leadership abilities to achieve ambitious business objectives and goals. - Highly skilled in planning and delivering multiple critical, complex projects. - Excellent interpersonal skills to foster relationships across multiple organizations. - Ability to effectively communicate data governance concepts and principles to non-technical constituents. - Extensive data management and analytics experience. To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Understanding the Role (Entry-Level Scope with High Language Standards)  This role is structured as an Entry-Level (L1 – Foundational Scope) position, which refers to the type of tasks and level of complexity, not the candidate’s overall experience or capability.  Tasks are clearly defined, guideline-driven, and execution-focused, designed for high-volume, standardized work.  While the task complexity is entry-level, we maintain high language quality standards. Candidates should have advanced proficiency (C1/C2 or equivalent) in the required language(s) to ensure accuracy and consistency.  We welcome applicants with more advanced experience (L2/L3); however, task scope and compensation for this role are aligned strictly to entry-level L1 responsibilities.    Early Access Opportunity (Pilot Program)  Join a global AI language project supporting leading technology platforms. This is a flexible, entry-level opportunity to gain hands-on experience in AI data and language quality operations.    This role is part of an early-stage pilot program, where we are building a foundational team to support ongoing and future client initiatives. We are actively building our initial team, and early contributors will be prioritized for ongoing work as the program expands.  At this time, all available work and budget are aligned with entry-level (L1) tasks, which are structured, execution-based, and designed for high-volume delivery.  👉 This role is a starting point within a growing program, with potential for expanded opportunities based on project needs, performance, and budget.  Contributors who are active, reliable, and consistent will remain engaged within the project ecosystem as work continues to evolve.  About Volga Partners  Volga Partners is a U.S.-based company supporting leading technology organizations with Artificial Intelligence and machine learning initiatives. We specialize in large-scale language data operations and quality programs across global markets.  Role Overview  This is a freelance, task-based role designed for individuals seeking flexible, supplemental work and hands-on experience in AI language data and quality operations.  Work is offered on a first-come, first-served basis as tasks become available. Hours may be irregular and intermittent depending on client volume.  This role is well suited for candidates who are detail-oriented, adaptable, and comfortable working within structured guidelines.  Project hours may align with IST (Indian Standard Time) depending on workflow requirements.    Who You Are (Entry-Level with Strong Language Skills)  - You have advanced proficiency (C1/C2 or equivalent) in the required language(s)  - You are comfortable working on structured, guideline-based tasks  - You are detail-oriented and able to follow instructions closely  - You are interested in gaining experience in AI, data, and language operations  - You are flexible and able to work with intermittent task availability    Example Tasks  Tasks are simple, structured, and typically take a few minutes to complete, depending on the workflow.  - Review content for grammar, spelling, and clarity  - Translate short, straightforward phrases  - Compare data against provided guidelines  - Apply basic data labels using step-by-step instructions  - Flag errors or inconsistencies    Key Responsibilities  - Perform structured data and content reviews  - Execute quality checks (grammar, spelling, formatting)  - Apply data labeling and tagging  - Follow client workflows and instructions  - Maintain accuracy and quality standards  - Incorporate feedback to improve performance  Desired Qualifications  - Interest in AI, data, or language technology  - Prior experience in data entry, content review, QA, or similar (preferred, not required)  - Strong attention to detail  - Willingness to learn and adapt  Engagement Type & Classification  This is a freelance, task-based engagement.  - U.S. candidates: 1099 Contractor (project-based)  - Non-U.S. candidates: Independent contractor via Deel  - Classification is determined by location and local compliance requirements.  Onboarding & Compliance  - Global contractors are onboarded through Deel  - U.S.-based workers are onboarded through Volga Partners’ payroll system  - Required documentation must be completed prior to starting  Compensation  Hourly compensation varies by country, language, and experience level.  - Singapore/Hong Kong: $7 – $8 USD per hour (DOE)  Compensation aligns with entry-level (L1) task scope and local market conditions.  Important Notes  - This role is designed for supplemental, flexible engagement  - No guaranteed minimum hours  - No guaranteed end date  - Tasks are offered first-come, first-served  - While advancement is not guaranteed, future opportunities may evolve based on project needs, performance, and budget  Why This Role  • Gain hands-on experience working on real AI and language data projects  • Build practical skills in data quality, annotation, and content review  • Flexible, remote work that fits around your schedule  • Opportunity to stay engaged in ongoing and future AI programs  • Visibility into higher-scope opportunities as projects expand

Understanding the Role (Entry-Level Scope with High Language Standards)  This role is structured as an Entry-Level (L1 – Foundational Scope) position, which refers to the type of tasks and level of complexity, not the candidate’s overall experience or capability.  Tasks are clearly defined, guideline-driven, and execution-focused, designed for high-volume, standardized work.  While the task complexity is entry-level, we maintain high language quality standards. Candidates should have advanced proficiency (C1/C2 or equivalent) in the required language(s) to ensure accuracy and consistency.  We welcome applicants with more advanced experience (L2/L3); however, task scope and compensation for this role are aligned strictly to entry-level L1 responsibilities.    Early Access Opportunity (Pilot Program)  Join a global AI language project supporting leading technology platforms. This is a flexible, entry-level opportunity to gain hands-on experience in AI data and language quality operations.    This role is part of an early-stage pilot program, where we are building a foundational team to support ongoing and future client initiatives. We are actively building our initial team, and early contributors will be prioritized for ongoing work as the program expands.  At this time, all available work and budget are aligned with entry-level (L1) tasks, which are structured, execution-based, and designed for high-volume delivery.  👉 This role is a starting point within a growing program, with potential for expanded opportunities based on project needs, performance, and budget.  Contributors who are active, reliable, and consistent will remain engaged within the project ecosystem as work continues to evolve.  About Volga Partners  Volga Partners is a U.S.-based company supporting leading technology organizations with Artificial Intelligence and machine learning initiatives. We specialize in large-scale language data operations and quality programs across global markets.  Role Overview  This is a freelance, task-based role designed for individuals seeking flexible, supplemental work and hands-on experience in AI language data and quality operations.  Work is offered on a first-come, first-served basis as tasks become available. Hours may be irregular and intermittent depending on client volume.  This role is well suited for candidates who are detail-oriented, adaptable, and comfortable working within structured guidelines.  Project hours may align with IST (Indian Standard Time) depending on workflow requirements.    Who You Are (Entry-Level with Strong Language Skills)  - You have advanced proficiency (C1/C2 or equivalent) in the required language(s)  - You are comfortable working on structured, guideline-based tasks  - You are detail-oriented and able to follow instructions closely  - You are interested in gaining experience in AI, data, and language operations  - You are flexible and able to work with intermittent task availability    Example Tasks  Tasks are simple, structured, and typically take a few minutes to complete, depending on the workflow.  - Review content for grammar, spelling, and clarity  - Translate short, straightforward phrases  - Compare data against provided guidelines  - Apply basic data labels using step-by-step instructions  - Flag errors or inconsistencies    Key Responsibilities  - Perform structured data and content reviews  - Execute quality checks (grammar, spelling, formatting)  - Apply data labeling and tagging  - Follow client workflows and instructions  - Maintain accuracy and quality standards  - Incorporate feedback to improve performance  Desired Qualifications  - Interest in AI, data, or language technology  - Prior experience in data entry, content review, QA, or similar (preferred, not required)  - Strong attention to detail  - Willingness to learn and adapt  Engagement Type & Classification  This is a freelance, task-based engagement.  - U.S. candidates: 1099 Contractor (project-based)  - Non-U.S. candidates: Independent contractor via Deel  - Classification is determined by location and local compliance requirements.  Onboarding & Compliance  - Global contractors are onboarded through Deel  - U.S.-based workers are onboarded through Volga Partners’ payroll system  - Required documentation must be completed prior to starting  Compensation  Hourly compensation varies by country, language, and experience level.  - Singapore/Hong Kong: $7 – $8 USD per hour (DOE)  Compensation aligns with entry-level (L1) task scope and local market conditions.  Important Notes  - This role is designed for supplemental, flexible engagement  - No guaranteed minimum hours  - No guaranteed end date  - Tasks are offered first-come, first-served  - While advancement is not guaranteed, future opportunities may evolve based on project needs, performance, and budget  Why This Role  • Gain hands-on experience working on real AI and language data projects  • Build practical skills in data quality, annotation, and content review  • Flexible, remote work that fits around your schedule  • Opportunity to stay engaged in ongoing and future AI programs  • Visibility into higher-scope opportunities as projects expand

• Input, update, and maintain accurate data in company databases and systems • Conduct regular data quality checks to identify and correct discrepancies or errors • Collaborate with internal teams to ensure seamless data sharing and reporting • Generate detailed reports and summaries for management as required • Handle confidential data with discretion and in compliance with company policies • Identify and suggest process improvements for efficient data management