{"id":1142753,"url":"https://alion.io/job/deephealth-senior-data-manager","title":"Senior Data Manager","company":{"id":692266,"name":"Deephealth","domain":"deephealth.com","url":"https://alion.io/company/deephealth","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":78,"open_postings":8,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":65000,"currency":"EUR","period":"year","gross":null,"usd_annual":74194},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-21T17:28:14Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-24T20:47:42Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"The Senior Data Manager is responsible for owning key data topics across products, including dataset creation, data export, annotation workflows, and performance monitoring, and for driving those topics end to end. This role makes structuring decisions on team tooling and data architecture, builds reusable pipelines and automation, and mentors more junior data team members. Work is done with radiologists, product managers, AI engineers, clinical research scientists, and data engineers to support medical product development.\nEssential Duties and Responsibilities\nOwn one or several data topics across products, such as dataset creation, data export, annotation workflows, and performance monitoring, and drive them end to end.\n\nDesign and maintain reusable tooling, including pipelines, dashboards, and automation, for the data team and for stakeholders who need to access, explore, or use the data.\n\nMake structuring decisions on technical implementation, team tooling, and data architecture, and maintain codebase quality and process efficiency.\n\nSurface actionable insights from the data lake by identifying, structuring, and delivering relevant information to product, AI, and clinical stakeholders.\n\nDrive the targeting and collection of relevant data.\n\nBuild and structure medically consistent and representative datasets.\n\nEstablish annotation guidelines and training so annotation quality stays consistent.\n\nContribute to ongoing oversight and refinement of AI algorithm performance.\n\nMentor more junior data team members through technical guidance and knowledge sharing.\n\nWrite automated tests and apply code versioning and review standards to data processes and tools.\n\nRequirements\nMinimum Qualifications, Education and Experience\nMaster's degree in a health-related or scientific field (required).\n\n5+ years of relevant experience in data management, data engineering, or data science, ideally in healthcare or medical imaging (required).\n\nExcellent proficiency in Python and database query languages, and comfort working with databases such as BigQuery and MongoDB (required).\n\nAbility to structure, document, industrialize, and optimize data processes and tools (required).\n\nExperience writing automated tests and working with code versioning and review (required).\n\nKnowledge of medical imaging and of how data and annotations shape AI algorithm development (required).\n\nStrong reasoning, attention to detail, and an analytical and scientific mindset (required).\n\nAbility to translate needs between technical and less technical stakeholders and to mentor others (required).\n\nAbility to manage multiple topics in parallel while maintaining a broader view of product and data priorities (required).\n\nPreferred: Machine learning understanding.\n\nPreferred: Experience with medical device development\n\n.\nQuality Standards\nCommunicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.\n\nDemonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.\n\nFollows all local, regional and country laws concerning employment.\n\nFollows all DeepHealth policies and procedures.\n\nFollows data privacy, compliance, safety and confidentiality standards at all times.\n\nPractices universal safety precautions.\n\nPromotes good public relations on the phone and in person.\n\nAdapts and is willing to learn new tasks, methods, and systems.\n\nReports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.\n\nCompletes job responsibilities in a quality and timely manner.\n\nTravel\nThis position may require occasional travel.\nWorking Environment\nOffice / Hybrid. Paris or Netherlands.\nPhysical Demands\nThe employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation.\nSalary:\n€60,000 - €65,000 per year","description_format":"text","description_chars":4065,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Digital Health","Medical AI"],"lifecycle":[{"event":"open","at":"2026-09-23T13:07:56Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":23,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":74194,"is_top_pay":false},"html_url":"https://alion.io/job/deephealth-senior-data-manager","json_url":"https://alion.io/job/deephealth-senior-data-manager.json","meta":{"generated_at":"2026-09-24T23:47:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1934,"day_limit":5000,"remaining_today":3066,"minute_limit":60,"resets_at":"2026-09-25T00:00:00Z"}}}