{"id":3235889,"url":"https://alion.io/job/icon-lead-data-manager-2","title":"Lead Data Manager","company":{"id":5677,"name":"ICON","domain":"iconplc.com","url":"https://alion.io/company/icon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Sales","role_family":"Sales","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain","Warsaw, Poland","Sofia, Bulgaria","Reading, United Kingdom","Dublin, Ireland"],"countries":["ES","PL","BG","GB","IE"],"hiring_countries":["ES"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":106000,"period":"year","method":"role_seniority_country_cell","sample_n":12},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CDISC","optional":false},{"name":"Good Clinical Practice","optional":false}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-26T06:09:02Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Lead Data ManagerAt ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON’s global expertise.\nAs the world’s largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide.\nAs a Lead Data Manager at ICON, you will drive data science initiatives within study start up clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions.\nWhat You Will Do:\nYou will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes.\nKey responsibilities include:\nLead end-to-end clinical data management start-up activities from protocol review through specification development, database build, testing, validation, and production go-live.\nReview draft and approved protocols to identify data collection requirements, build risks, inconsistencies, and potential impacts to database design or downstream processes.\nTranslate protocol requirements into complete and accurate study build specifications, including visit schedules, assessments, eCRFs, dosing, data collection requirements, and edit check specifications.\nApply clinical data standards, including CDISC standards, eCRF design principles, field and variable conventions, and approved standard forms, to ensure consistent and compliant study configuration.\nPartner with the Standards team to leverage existing standards and define, document, and implement protocol-specific modifications when needed.\nCollaborate with Study Execution Teams (SET), Medical Data Review (MDR), Programming, Data Management, Standards, and other cross-functional stakeholders to clarify requirements, resolve discrepancies, and coordinate study configuration activities.\nPlan, coordinate, and oversee sandbox testing and user acceptance testing (UAT), including documentation of defects, issue resolution, retesting, and confirmation of system readiness.\nManage start-up timelines, dependencies, deliverables, risks, and issue-resolution activities to ensure timely and successful database go-live.\nAssess and manage the data management impact of protocol amendments and post-go-live changes, including updates to specifications, system configuration, testing, validation, and documentation.\nMaintain complete, accurate, and timely data management start-up documentation in the eTMF.\nEnsure all data management start-up deliverables comply with applicable SOPs, ICH-GCP, regulatory requirements, and internal quality standards.\nYour Profile:\nYou will have solid clinical data experience, with the ability to manage competing priorities and develop your team.\nRequired qualifications and experience:\nBachelor's degree in life sciences, computer science, or a related discipline\nExtensive experience in data analysis and project leadership within a clinical research setting.\nStrong expertise in statistical software and data visualization techniques.\nExceptional analytical and problem-solving skills, with a focus on translating data into actionable insights.\nExcellent communication and leadership skills, with the ability to foster collaboration across diverse teams.\nWillingness to travel as required (approximately 15%)\nEmployment with ICON is contingent upon having the legal right to work in the country where the role is based.\nRewards & Benefits\nICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.\nBenefits may include:\nCompetitive base salary and performance related incentives\nHealth and wellbeing programmes including medical, dental, and vision coverage where applicable\nRetirement and pension plans\nLife assurance and disability coverage\nEmployee assistance programmes and wellbeing resources\nLearning and development opportunities through structured training and career pathways\nBenefits may vary depending on role and location.\nVisit our careers site to read more about the benefits ICON offers.\nInclusion and Accessibility\nICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.\nIf you require reasonable accommodations during the recruitment process, please let us know or submit a request here.\nAre you a current ICON Employee? 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