Anastasia Lioliou

Anastasia Lioliou Athens, Greece |-| - Professional Summary Strategic Product & Project Manager with a strong scientific background and 5+ years of experience in life sciences SaaS. Proven ability to lead high-performing cross-functional teams (Product, Data, Engineering, Science) in delivering data-driven platforms and AI-enabled tools for clinical development. Experienced in managing complex stakeholder needs, driving end-to-end product strategy, and aligning platform features with pharma regulatory expectations (FDA/EMA). Known for improving operational efficiency, enabling platform scalability, and supporting business growth through evidence-based insight generation and client-facing delivery. Professional Experience Scientific Manager, Clinical Data Operations Intelligencia AI | Apr 2023 – Present • • • • • • • • • Managed two clinical data teams (16 total), two of the company’s highest-performing teams, delivering 30% more output per person. Managed cross-functional delivery of SaaS platform features and data initiatives, overseeing a 5member task force (Product, Engineering, Data Science,) focused on technical execution and operational efficiency. Held full ownership of a user-focused SaaS platform for clinical data curation and analysis, driving feature prioritization, roadmap planning, and product evolution based on internal and client needs. Defined, monitored, and iterated on team KPIs across output volume, trial accuracy, and sprint velocity, improving overall data delivery consistency and visibility to leadership. Led the end-to-end product strategy for the platform, translating domain-specific requirements into product features, aligning stakeholders, and ensuring the platform met both regulatory standards and real-world user workflows. Led quarterly product planning cycles, collaborating with Product, Commercial, and Science stakeholders to prioritize features based on client feedback, internal analytics goals, and evolving therapeutic area requirements. Owned the delivery of multiple concurrent SaaS projects, coordinating timelines, sprint plans, risk assessments, and team capacity across functions to ensure on-time, within-scope outcomes for enterprise pharma clients. Delivered tailored presentations to biopharma clients, analyzing competitive intelligence on drug modality, class, and target landscapes to guide strategic positioning and identify potential acquisition targets. Provided data-driven insights comparing client pipelines to market trends, identifying 20+ strategic gaps and opportunities. • • • • • • • • • Primary reference for curation issues across departments. Championed the integration of LLMpowered automation tools into data workflows, reducing curation time by 30% and improving overall delivery capacity for high-priority clients Applied statistics and domain knowledge to support predictive modeling and product decisions. Performed reverse QC on Probability of Technical and Regulatory Success (PTRS) outcomes for thousands of clinical trials by validating whether feature weights derived from predictive models aligned with trial characteristics, drug features, and the current market landscape. Launched client-centric data quality initiative, improving dataset alignment with regulatory strategy by 35%. Partnered with Product and Data Science teams to ensure data reflected clinical and regulatory realities. Advised on TA-specific features and criteria predictive of success across 50+ indications. Drove data strategy improvements, increasing decision-making accuracy in model outputs by 20% and informing key product lifecycle decisions. Led structured problem-solving efforts to break down strategic issues and build customized execution paths for key clients. Presented technical insights to leadership. Fostered a collaborative, high-performing team culture. Team Lead, Clinical Data Operations Intelligencia AI | Apr 2022 – Apr 2023 • • • • • • • • • • • Led a team of 8 scientific associates, managing high-volume clinical trial data curation to support AI models predicting drug approval success across multiple therapeutic areas. Directed roadmap execution and feature prioritization for a user-focused SaaS platform, aligning internal and client-facing needs with strategic product development goals. Translated domain requirements into scalable product features, ensuring the platform supported regulatory-relevant workflows and biopharma data standards. Coordinated agile delivery for clinical data projects, managing timelines, sprint planning, and task allocation to ensure consistent delivery across cross-functional teams. Designed and enforced internal validation processes, including peer review and data logic checks, resulting in >99% accuracy and error-free scientific outputs. Ensured data integrity and usability for predictive modeling by collaborating with Product and Data Science teams on feature requirements and technical refinements. Delivered strategic presentations to internal leadership and prospective clients, contributing directly to account wins through tailored competitive insights Trained over 50 team members on platform use and data reliability, boosting onboarding efficiency by 40%. Streamlined and owned multiple data workflows, reducing trial-level curation time by 30% while preserving scientific rigor. Recognized for dedication and technical excellence in high-pressure, cross-functional projects. Conducted analysis of competitive and market landscape to support client-specific data strategies. • • • • Played a decisive role in helping secure a major client account through insight-driven presentations and strategic consultation. Led the design and execution of a company-wide initiative to build a comprehensive drug ontology database. Built scalable ontologies across all therapeutic areas, supporting product integration, analytical insights, and client-aligned feature mapping. Developed performance KPIs with a focus on trial output volume, data accuracy, and turnaround time, used to guide weekly standups and team coaching. Scientific Associate Intelligencia AI | Aug 2020 – Apr 2022 • • • • • • • • • • • Curated and validated clinical trial data across multiple therapeutic areas, consistently maintaining >99% accuracy in support of predictive model development. Resolved over 100 complex data issues, contributing to SOP improvements and enhancing teamwide consistency in trial data capture. Provided peer support and collaborated across functional teams to ensure scientific accuracy and alignment with evolving platform needs. Conducted exploratory analyses using Excel and Google Sheets to extract insights on trial design and market positioning. Delivered curated content and domain-specific insights in client-facing settings, supporting strategic discussions and enhancing platform credibility. Flagged workflow inefficiencies and contributed front-line insights that directly informed platform feature enhancements and UX iterations. Participated in product testing cycles, validating new functionality against scientific use cases and providing feedback that shaped final releases. Took ownership of issue tracking and resolution across ongoing projects, ensuring timely delivery and maintaining documentation for team-wide learning. Aligned with leads and stakeholders on weekly curation priorities and timelines, supporting consistent project throughput across TAs. Documented bugs and bottlenecks during platform releases, coordinating with Product and Ops to ensure resolution matched user needs and delivery goals. Maintained personal KPIs for trial output, issue resolution, and accuracy rates, consistently ranking among the top performers within the team. Researcher Aristotle University of Thessaloniki | Sep 2018 – Aug 2020 • • • Spearheaded 2-year project on replacing inorganic with organic zinc in weaned piglets to enhance nutrient uptake and sustainability. Designed in vivo experiments and conducted RT-qPCR and tissue analysis to assess growth, zinc retention, and gene expression. Analyzed complex biological and molecular data with SPSS and Excel, resulting in > 95% confidence intervals and reproducible findings. • Optimized lab protocols and data workflows, shortening turnaround times by 20%. Internships Biomedical Research Intern Biomedical Research Foundation, Academy of Athens | Aug 2016 – Dec 2016, Athens • • • Isolated and cultured primary mice cardiomyocytes, optimizing protocols to boost cell viability by 30%. Supported preclinical research that contributed to peer-reviewed publications and scientific talks. Collaborated with senior researchers to troubleshoot protocols, improving reproducibility and reducing delays by 25%. Molecular Diagnostics Intern KARYO – Diagnostic Laboratories | Apr 2017 – May 2017, Thessaloniki • • • Conducted mutation detection (KRAS, BRAF, MSI) via qPCR, HRM, and probe-based assays with > 95% accuracy. Helped optimize and validate diagnostic protocols, reducing sample processing time by 15%. Interpreted genetic data to support diagnostic decision-making in oncology and hereditary diseases. Education MSc in Applications in Biology: Applied Genetics and Biodiagnostics Aristotle University of Thessaloniki | 2015 – 2017 Thesis: Functional and Molecular Analysis of CYLD tissue-specific knockout in mice during septic shock BSc in Biology University of Patras | 2009 – 2015 Thesis: Phagocytosis in early-stage chronic kidney disease versus healthy and transplanted individuals Languages Greek: Native English: Fluent German: Fluent Technical Skills Statistical & Data Analysis: R, SPSS, GraphPad Prism, Excel, Google Sheets Programming & Query Languages: SQL, basic Python (data handling, automation) AI & Integration: ChatGPT, Claude, Perplexity, Gemini, AI-assisted workflow optimization Visualization & Reporting: PowerPoint, Miro, Notion, Looker Project Management: MS Office Suite, Google Suite, Trello, Jira, Notion, Confluence, Smartsheet Documentation & Compliance: GxP, CSV, audit traceability, SOP alignment Delivery Approach: Agile project management, sprint planning, stakeholder alignment Product Ownership: Roadmap planning, cross-functional delivery, client onboarding Communication: Client workshops, internal presentations, stakeholder reporting Domain: Pharma R&D, SaaS platforms, clinical and regulatory data