{"id":2481535,"url":"https://alion.io/job/csl-limited-director-ai-data-science","title":"Director, AI & Data Science","company":{"id":723138,"name":"CSL Limited","domain":"csl.com","url":"https://alion.io/company/csl-5","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":30,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["King of Prussia, United States","Waltham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":168000,"max_usd":316000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2576},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-13T22:53:54Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-21T22:13:14Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"The Opportunity:\nCSL is accelerating innovation to deliver greater impact for patients through data, analytics, digital transformation, and artificial intelligence. Within the Business Analytics, Reporting, Data & AI Strategy, BARDS, organization, the Director, AI & Data Science will play a critical leadership role in shaping and advancing CSL Behring’s Commercial and Medical AI agenda.\nThis role will lead the strategy, development, governance, and deployment of advanced analytics, machine learning, GenAI, and AI-enabled decision support capabilities across CSL Behring’s Commercial, Medical, Market Access, and cross-functional business priorities. The Director will be responsible for translating complex business needs into scalable AI and data science solutions that improve decision-making, accelerate insight generation, support patient identification, optimize commercial execution, and enable measurable business and patient impact.\nThe Director will serve as a senior thought partner to Commercial, Medical Affairs, Market Access, I&T, Data Governance, Legal, Compliance, Privacy, and external partners. This role will be accountable not only for developing and deploying AI/ML solutions, but also for building the operating model, governance framework, adoption strategy, and capability roadmap required to responsibly scale AI and data science across the organization.\nThe ideal candidate brings deep technical expertise, strong life sciences domain knowledge, experience leading cross-functional AI/ML programs from concept to production, and the ability to influence senior stakeholders in a matrixed global environment. This individual must be able to bridge technical innovation with business strategy, ensuring that AI and data science capabilities are not only innovative, but practical, trusted, governed, and tied to measurable outcomes.\nThe Role:\nAI & Data Science Strategy:\nDevelop and lead the AI and Data Science strategy for BARDS, aligned to CSL Behring’s Commercial, Medical, Market Access, and broader enterprise priorities. \nBuild and maintain a clear AI/DS roadmap that prioritizes high-value use cases across patient identification, rare disease diagnosis, Medical Analytics, Tender Analytics, forecasting, customer insights, competitive intelligence, and AI-enabled decision support. \nPartner with senior Commercial and Medical leaders to identify business challenges where AI, machine learning, GenAI, and advanced analytics can create measurable value. \nEstablish a structured AI use case intake and prioritization framework, including business value, feasibility, data readiness, risk, level of effort, governance needs, and ROI. \nTranslate emerging AI trends, technologies, and regulatory considerations into practical strategies for CSL’s Commercial and Medical environment.\nAdvanced Analytics, AI/ML, and GenAI Solution Leadership:\nLead the development and deployment of advanced analytics, predictive modeling, machine learning, GenAI, and agentic AI solutions across priority business areas. \nOversee AI/ML use cases from problem framing and feasibility assessment through proof of concept, pilot, production deployment, adoption, and value measurement. \nProvide technical and strategic leadership for patient identification and rare disease patient-finding models, including use cases in PID/SID, HAE, and other therapeutic areas where earlier diagnosis and intervention are critical. \nLead the development of AI-enabled capabilities for Medical Analytics, including care gap identification, medical impact measurement, KOL and HCP insights, evidence generation support, field medical effectiveness, and disease education opportunities. \nPartner with Tender and Pricing teams to identify AI and advanced analytics opportunities related to tender performance, price erosion, market dynamics, competitive behavior, and decision support. \nSupport forecasting and market insights teams by enabling GenAI and machine learning solutions for analog identification, scenario planning, signal detection, and insight generation.\nResponsible AI, Governance, and Risk Management:\nPartner with I&T, Data Governance, Legal, Compliance, Privacy, Medical, and Commercial stakeholders to ensure responsible and compliant development and deployment of AI solutions. \nEstablish governance standards for AI/ML and GenAI solutions, including model validation, explainability, human-in-the-loop review, bias assessment, factuality, faithfulness, auditability, data quality, privacy, and risk management. \nEnsure AI-enabled tools are designed with appropriate controls, documentation, monitoring, user training, and business ownership. \nRepresent BARDS in relevant AI, data governance, and cross-functional forums to ensure Commercial and Medical AI use cases are aligned with CSL’s broader enterprise AI strategy. \nDevelop practical frameworks to balance innovation with appropriate guardrails in a regulated life sciences environment.\nDataiku and AI Capability Enablement:\nLead the strategic use and adoption of Dataiku and related AI/ML platforms within BARDS and across Commercial and Medical analytics teams. \nDefine the operating model for Dataiku use, including project intake, use case prioritization, governance, user enablement, value tracking, and scalable deployment. \nPartner with business users, data scientists, analysts, and I&T teams to improve adoption of AI-enabled workflows and self-service analytics capabilities. \nBuild internal AI and data science capability through training, coaching, best-practice sharing, reusable frameworks, and hands-on enablement. \nEnsure that AI and advanced analytics tools are embedded into business processes in a way that is practical, sustainable, trusted, and measurable.\nCross-Functional Commercial and Medical Partnership:\nServe as a strategic bridge between business needs and technical execution across Commercial, Medical Affairs, Market Access, I&T, Data Governance, and external partners. \nBuild strong partnerships with senior stakeholders to ensure AI and data science solutions are aligned with business priorities and embedded into decision-making workflows. \nLead cross-functional working teams to define requirements, align success measures, resolve dependencies, and drive implementation of high-priority AI/ML initiatives. \nInfluence without authority across a matrixed organization to drive alignment, adoption, and accountability. \nSupport change management and adoption planning so business users understand, trust, and act on AI-generated insights.\nPortfolio, Vendor, and External Partner Management:\nLead a portfolio of AI and data science initiatives across BARDS, ensuring clear prioritization, resourcing, governance, delivery milestones, and value tracking. \nManage external vendors and partners supporting AI/ML, GenAI, advanced analytics, platform development, and data science delivery. Evaluate build-versus-buy opportunities and provide recommendations on vendor selection, AI platforms, external partnerships, and emerging technologies. \nEnsure vendor solutions are aligned with CSL’s data architecture, governance expectations, responsible AI principles, and business objectives. \nRepresent CSL Commercial Data Science in external forums, vendor discussions, and cross-functional governance meetings.\nBusiness Impact and Value Measurement :\nDefine KPIs and ROI frameworks to measure the impact of AI and data science initiatives. • \nEnsure each prioritized AI/DS use case has clear objectives, success measures, business ownership, adoption plans, and measurable outcomes. \nTrack and communicate business value, including improved patient identification, increased speed to insight, enhanced decision-making, efficiency gains, reduced reliance on external consulting, improved field execution, and stronger Medical and Commercial impact. \nTranslate technical outcomes into clear business narratives for senior leadership and executive stakeholders.\nSkills and Experience:\nBachelor’s degree required in Data Science, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Bioinformatics, Engineering, Epidemiology, Health Informatics, or a related quantitative discipline. \nMaster’s degree or Ph.D. strongly preferred. \n12 or more years of experience in data science, advanced analytics, AI/ML, GenAI, commercial analytics, healthcare analytics, or life sciences analytics. \n5 or more years of experience leading cross-functional AI/ML or advanced analytics initiatives in pharma, biotech, healthcare, or a similarly regulated industry. \nDemonstrated experience developing and deploying machine learning models in commercial, medical, clinical, or healthcare contexts. \nStrong experience translating business problems into data science use cases and moving solutions from concept to pilot to production. \nExperience leading AI/ML or GenAI strategy, operating model development, governance frameworks, and adoption planning. \nExperience with rare disease patient identification, patient-finding models, HCP segmentation, care gap analytics, forecasting, Medical Analytics, Tender Analytics, or customer insights strongly preferred. • Deep understanding of the pharmaceutical industry, including commercial models, medical affairs, market access, regulatory considerations, privacy, compliance, and data governance. \nStrong understanding of responsible AI principles, including model explainability, bias, fairness, factuality, human-in-the-loop review, data privacy, risk management, and auditability. \nExperience with cloud environments and modern data science infrastructure, including AWS, Snowflake, Databricks, or equivalent platforms. \nExperience with Dataiku or similar enterprise AI/ML platforms strongly preferred. \nFamiliarity with modern machine learning and AI frameworks such as Python, R, scikit learn, TensorFlow, PyTorch, LLMs, retrieval-augmented generation, multi-agent workflows, and GenAI evaluation frameworks. \nStrong ability to influence senior stakeholders, lead through ambiguity, and drive alignment across matrixed global teams. \nDemonstrated ability to manage vendors, external partners, and cross-functional delivery teams. \nStrong executive communication skills, with the ability to translate complex technical topics into clear business implications and recommendations.\nPreferred Capabilities:\nExperience building or scaling AI/data science capabilities within a Commercial, Medical, or Market Access organization. \nExperience designing AI governance models and working with Legal, Compliance, Privacy, I&T, and Data Governance teams. \nExperience leading teams or indirect resources across internal employees, contractors, vendors, and business stakeholders. \nExperience with GenAI solutions for insight generation, competitive intelligence, forecasting, content analysis, decision support, or workflow automation. \nExperience with patient identification and rare disease diagnosis use cases using claims, EMR, lab, specialty pharmacy, CRM, and other real-world data sources. \nExperience developing ROI models, adoption metrics, and business impact frameworks for data science and AI programs. \nStrong publication, patent, conference, or thought leadership experience in AI, machine learning, data science, healthcare analytics, or life sciences innovation preferred.\nAbout CSL Behring\nCSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.\nCSL Behring operates one of the...","description_format":"text","description_chars":13231,"description_truncated":true,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Vaccines","Biologics & Biosimilars"],"lifecycle":[{"event":"open","at":"2026-10-13T22:53:54Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.626,"p_room":1,"age_days":7,"expected_fill_days":29,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/csl-limited-director-ai-data-science","json_url":"https://alion.io/job/csl-limited-director-ai-data-science.json","meta":{"generated_at":"2026-10-21T22:16:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31691,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":723138},"rest":"https://alion.io/mcp/rest/get_company?id=723138"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcsl-limited-director-ai-data-science"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcsl-limited-director-ai-data-science"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcsl-limited-director-ai-data-science"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/csl-limited-director-ai-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcsl-limited-director-ai-data-science"}]}