• Aid with the statistical design, analysis, and reporting of clinical study data (pre-market feasibility, pre-market pivotal, post-market, observational, and RWE) • Collaborate with clinical, medical, and regulatory teams to ensure study objectives are met with robust statistical methodologies • Develop innovative data science approaches (e.g., predictive modeling, ML/AI) for clinical trial optimization and patient outcomes research • Oversee data quality, integrity, and compliance with regulatory standards (FDA, EMA, ICH-GCP) • Partner with Data Management teams on CRF design, data cleaning, and database lock activities • Ensure data traceability, reproducibility, and adherence to relevant data standards • Provide data science input to clinical development plans, study protocols, and statistical analysis plans (SAPs) • Support publications, abstracts, and presentations with high-quality deliverables • Mentor clinical affairs interns • Represent the company in scientific forums, regulatory discussions, and cross-industry initiatives.

• Conduct exploratory analyses of large volumes of transactional and behavioral data to uncover actionable insights and business opportunities. • Build and deploy machine learning and deep learning models that solve real-world problems, such as fraud detection, recommendation systems, credit risk analysis, purchase propensity, and churn prediction, among others. • Validate hypotheses through controlled experiments using A/B testing methodologies and statistical analysis. • Collaborate with Product Owners and engineers to translate business problems into robust, scalable analytical solutions.

• You are responsible for the global MDM strategy, the roadmap, and the data governance framework, as well as defining clear data responsibilities (Data Ownership) • You will build a central MDM Center of Competence (CoC) within the TQG Group, establish standards, and ensure the internal development of expertise • You will lead the MDM team functionally and disciplinary, and coordinate the Business and Technical Data Stewards • You will design the Master Data Operating Model (MDOM) as well as end-to-end, cross-domain master data processes (Product, Customer, Supplier, Finance, Logistics) • You will act as a bridge to the business units (SCM, Sales, Finance, etc.) and lead strategic governance committees • You will define and monitor MDM metrics (KPIs) using dashboards and drive continuous improvement processes • You will work closely with the MDM data architecture team to optimally translate strategic guidelines into technical solutions • You will actively promote a cultural shift toward active data ownership across the entire organization

• Own the end-to-end oversight of the client’s monthly and/or quarterly data submission cycle, ensuring all third-party data providers are progressing accurately and on time. • Lead and direct a team responsible for day-to-day submission tracking, provider outreach, and workflow management. • Establish and oversee a structured internal review process for data exceptions, ensuring issues are thoroughly assessed and remediated before reaching the client. • Drive resolution of data quality issues across real estate financial data types including Trial Balances, General Ledgers, loan data, aging schedules, and property-level reporting. • Serve as the final internal decision-maker on escalations, ensuring the client receives only well-documented, fully vetted issues. • Oversee source-specific data mapping for providers submitting raw financial data, Oversee raw data intake and mapping to client systems, ensuring field-level accuracy and continuity as source systems evolve. • Partner with internal technical teams to maintain data integrity across all provider submissions on the Cherre platform. • Manage the assignment, configuration, and ongoing governance of standardized reporting templates across a diverse provider base and asset class portfolio. • Maintain and evolve business rule validation logic, proactively identifying gaps and driving improvements in data quality standards. • Serve as the senior escalation point for third-party data providers, including property managers, fund administrators, and asset managers. • Build and maintain strong provider relationships, ensuring a high-quality, responsive support experience through a well-managed team. • Champion a tech-forward approach to service delivery, leveraging the Cherre platform and agentic AI tools to continuously improve efficiency and provider experience. • Own the enterprise account Information Provider Standard Operating Procedures, ensuring documentation is current, comprehensive, and scalable. • Own enterprise account performance reporting, delivering actionable insights on submission health, data quality trends, and operational performance to client stakeholders. • Maintain governance standards across user access, escalation tracking, and data quality logging in alignment with enterprise account requirements.