• Eigenverantwortliche Planung und Umsetzung von MDM-Projekten mit Fokus auf Qualität, Budget und Zeitvorgaben • Analyse von Anforderungen, Entwicklung tragfähiger Konzepte und Vorbereitung von Management-Entscheidungen • Gestaltung, Implementierung und Optimierung von Prozessen zur Sicherung der Datenqualität und Effizienzsteigerung • Definition von Rollen, Verantwortlichkeiten und Strukturen für eine effektive Data Governance und harmonische Prozessabläufe • Nutzung von Datenanalysen zur Optimierung von Stammdatenmodellen und Unterstützung datengetriebener Geschäftsentscheidungen • Beratung und Begeisterung unserer Kunden mit innovativen Lösungen für Master Data Management & Data Governance

Role Description The Senior Associate, Morbidity Underwriting Risk & Quality Solutions is an advanced individual contributor responsible for ensuring the quality, consistency, and effectiveness of morbidity underwriting decisions across Long Term Care and Individual Disability Insurance. This role owns morbidity underwriting quality insights, monitoring, and reporting, and plays a critical role in identifying trends, assessing adherence to guidelines, and driving improvements to underwriting practices, tools, and processes. The individual operates with a high degree of independence, applying deep underwriting expertise and analytical judgment to evaluate outcomes, influence decision-making, and support continuous improvement across underwriting and modernization efforts. What You’ll Do: - Quality Oversight & Case Review: - Perform post-decision reviews of LTC and IDI underwriting cases to assess accuracy, consistency, and alignment with morbidity underwriting guidelines. - Apply expert judgment to evaluate whether underwriting decisions are equitable, balanced, and aligned with intended risk outcomes. - Identify decision inconsistencies, guideline deviations, training opportunities, and areas of elevated risk. - Trend Analysis & Insight Generation: - Own monitoring and analysis of morbidity underwriting quality trends across products, cohorts, and distribution channels. - Identify patterns in decisioning, including inconsistencies, leakage, or emerging risks. - Develop and maintain dashboards and reporting to track quality metrics and performance over time. - Process Improvement & Recommendations: - Drive recommendations to improve underwriting quality and consistency, including: - Training needs - Updates to underwriting guidelines and procedures - Enhancements to rules, tools, and systems - Partner with underwriting leadership to prioritize and implement improvements. - Cross-Functional Collaboration & Influence: - Collaborate with Morbidity Underwriting Managers, Product, and Underwriting Modernization teams to translate insights into actionable improvements. - Provide input into model evaluation, rule changes, and system enhancements impacting morbidity underwriting. - Facilitate working sessions to align stakeholders on findings, root causes, and solutions. - Subject Matter Expertise & Governance Support: - Serve as a subject matter expert in morbidity underwriting quality and best practices. - Ensure adherence to underwriting guidelines, regulatory requirements, and internal standards. - Support governance routines by providing clear, data-driven insights into underwriting performance and quality. Qualifications - 5–10+ years of experience in life/health, LTC, or IDI underwriting with strong morbidity expertise. - Deep understanding of underwriting guidelines, risk assessment, and decision frameworks. - Experience reviewing complex underwriting decisions and identifying inconsistencies or risk patterns. - Strong analytical skills with ability to synthesize data and generate actionable insights. - Experience with reporting and data visualization tools (e.g., Excel, Qlik, Tableau, Power BI, SQL). - Proven ability to influence cross-functional stakeholders without direct authority. - Strong written and verbal communication skills. Requirements - Experience in underwriting quality control, audit, or second-line review functions. - Experience supporting underwriting automation, models, or rules engines. - Experience using AI tools or willingness to research and build AI tools for efficiency of reviews. - Industry designations (FLMI, FALU, DIA, DIF LTCP). - Experience working in Agile or product-based environments. Benefits - Salary Range: $100,000-$143,000. - Overtime eligible: Exempt. - Discretionary bonus eligible: Yes. - Sales bonus eligible: No. - Annual discretionary bonus eligibility. - Participation in an incentive program.

Role Description We are looking to strengthen our team for a MLE (Speech Tech, ASR)! Qualifications - 3+ years of hands-on experience in speech recognition or a closely related field. - Proficiency in Python and deep learning frameworks (especially, PyTorch). - Strong understanding of the state-of-the-art automatic speech recognition techniques and models. - Experience with Streaming ASR Models (e.g., Conformer). - Strong understanding of recognition improving techniques such as beamsearch and language modeling. - Familiarity with ASR evaluation techniques. - Knowledge of signal processing, statistical modeling, and language structure. - Nice to have: - MLOps experience, including MLFlow or similar experiment tracking systems. - Familiarity with low-latency audio streaming and optimization techniques for deploying efficient real-time processing systems. - Hands-on experience with Triton Inference Server and TensorRT for production model deployment. - Proficiency in building ML backends and deploying APIs. Requirements - Design and optimize ASR models to ensure that we recognize client’s speech as accurate as possible. - Collaborate closely with product managers and engineers to integrate ASR tech, making it seamless and intuitive for users. - Partner with data teams to build efficient audio data pipelines, from preprocessing to model training. - Regularly update and refine ASR models to adapt to various domains and dialects, enhancing user satisfaction and responsiveness. - Keep up-to-date with the latest ASR advancements, bringing in innovative techniques and tools to keep us at the forefront of voice-assisted banking. - Rigorously test and validate models to meet strict standards. Benefits - The team has built award-winning AI products for tech corporations' devices, voice assistants, products that are actually in the world. - Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment. - High engineering bar and real ownership - the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly. - Fast career progression - a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else. - Startup pace with enterprise stability - real clients, real revenue, no bureaucracy. - Fully remote across Europe. - 21 vacation days + public holidays + 5 sick days. - Private English lessons via Preply. - Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others).

Role Description Provides analyst support for health plan risk and quality reporting activities. Designs and develops custom health plan reports to support local interventions, provider outreach, and tracks outcomes of initiatives. Educates users on how to use reports related to risk and quality/Healthcare Effectiveness Data and Information Set (HEDIS) for Medicaid, Medicare, Marketplace and Medicare/Medicare-Medicaid Plan (MMP). Assists with research, development, and completion of special quality performance improvement projects including root-cause analysis. - Captures and documents health plan quality reporting requirements, builds custom reports, and educates health plan users on how to use reports. - Builds intervention strategy reporting for the risk and quality interventions and measures gap closure. - Builds ad hoc quality reports as requested to track HEDIS performance and supplemental data monitoring. - Develops quality assurance (QA) custom health plan reports related to Risk and Quality/HEDIS for Medicaid, Marketplace and Medicare/MMP. - Develops custom health plan reports related to managed care data including medical claims, pharmacy, lab and HEDIS rates. - Collaborates with the national risk and quality team on testing of pre-production reporting for assigned health plan. - Calculates and tracks gap closure and intervention outcome reporting for the assigned health plan. - Works in an agile business environment to derive meaningful information out of complex and large organizational data sets through data analysis, data mining, verification, scrubbing, and root-cause analysis. - Conducts root-cause analysis for business data issues. - Analyzes data sets and trends for anomalies, outliers, trend changes, and opportunities, using databricks Structured Query Language (SQL), PowerBi, Microsoft Excel, and techniques to determine significance and relevance. - Assists with research, development and completion of special quality-related projects as requested by various internal departments, or in support of requests from regulatory agencies, contracting agencies, or other external organizations. - Represents as a key partner to assist with testing changes in the Datawarehouse platform and performs transparent upgrades to reporting modules to ensure no impact to the end users. - Conducts preliminary and post-impact analyses for any logic and source code changes for data and reporting module - keeping other variables as constant that are not of focus. - Represents as a HEDIS subject matter expert, and supports health plan improve performance on underperforming quality measures. Qualifications - At least 2 years of experience mapping, scrubbing, scrapping, and cleaning data, and analysis experience related to HEDIS and/or risk adjustment, and 1 year of experience in a managed care organization, or equivalent combination of relevant education and experience. - Analytical mindset with excellent attention to detail. - Experience in working with complex data to include quantifying, measuring, and analyzing financial/performance management and utilization metrics. - Experience working with Microsoft T-SQL, Databricks SQL and Power BI. - Experience writing complex SQL queries, functions, procedures and data design. - Experience with Microsoft Azure, Amazon Web Services (AWS), or Hadoop. - Ability to manage multiple priorities in a fast-paced, deadline-driven environment. - Strong business acumen with the ability to connect data insights to strategic goals. - Self-starter with a continuous improvement mindset. - Effective verbal and written communication skills. - Microsoft Office suite (including advanced Excel), and applicable software programs proficiency. Preferred Qualifications - Certified Professional in Healthcare Quality (CPHQ). - Certified HEDIS Compliance Auditor (CHCA). - Registered Nurse. If licensed, license must be active and unrestricted in state of practice. Benefits Molina Healthcare offers a competitive benefits and compensation package.