Associate Director, Commercial AI Tech Lead

BioSpace; Philadelphia (Philadelphia County); On-site; USD 154,000 - 230,000; Full time

Job summary

Jazz Pharmaceuticals is seeking a data scientist to apply AI and advanced analytics across commercial use cases, including forecasting, segmentation, and personalization, with a focus on Generative AI applications for field, marketing, and operations teams.

The role emphasizes rigorous evaluation, regulatory awareness, collaboration with cross-functional teams, and translating complex technical concepts into actionable guidance while aligning with Jazz's data governance and security standards.

Qualifications

• Solid understanding of machine learning techniques, model evaluation, and real world deployment considerations.
• Experience evaluating third party AI solutions and comparing them with internally developed approaches.
• Experience working in regulated environments with awareness of privacy, compliance, and explainability requirements.
• Strong communication and collaboration skills with the ability to influence without formal authority.
• Experience supporting AI initiatives in a matrixed enterprise environment.
• Experience working with commercial data sources such as CRM, claims, promotional, and digital engagement data.

Responsibilities

• Apply data science expertise for AI and advanced analytics across Commercial use cases.
• Provide technical expertise in Generative AI applications for field and marketing teams.
• Evaluate the technical quality of AI solutions including model design, validation, explainability, and monitoring.
• Review analytical approaches and outputs to ensure rigor, trust, and compliance.
• Support build-vs-buy decisions and due diligence for AI capabilities and vendor solutions.
• Define pilot or MVP solutions and translate complex concepts for non-technical stakeholders.
• Ensure AI solutions align with enterprise data, security, and governance standards.

Skills

ML techniques

AI solution evaluation

Regulatory compliance

Communication & collaboration

Matrixed enterprise experience

Commercial data sources (CRM, claims,

Education

Bachelor's degree in Data Science/CS/Engineering or related field

Job description

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.

Essential Functions/Responsibilities

• Apply data science expertise for AI and advanced analytics solutions across Commercial use cases such as forecasting, targeting, segmentation, personalization, omnichannel engagement, and commercial optimization.
• Provide technical expertise in Generative AI applications for field teams (e.g., pre-call planning), marketing teams (e.g., content generation or market research), operations teams (e.g., knowledge summarization and search), etc.
• Evaluate the technical quality of AI solutions, including (where applicable) LLM strategy, solution architecture, model design, featurization, data requirements, validation approaches, explainability, monitoring, and scalability.
• Review and challenge analytical approaches, assumptions, and outputs from internal teams and external vendors to ensure solutions meet Jazz standards for rigor, trust, and compliance.
• Support technical assessments of build versus buy options for commercial AI capabilities, considering time to value, cost, scalability, extensibility, vendor dependency, and long term ownership.
• Participate in technical due diligence of vendor solutions, including review of methodologies, data usage, solution transparency, and operational readiness.
• Contribute clear technical input and recommendations to inform investment and solution implementation decisions. Evaluate build versus buy frameworks.
• Support prioritization of commercial AI initiatives by assessing feasibility, data readiness, implementation complexity, adoption readiness, and potential business impact.
• Partner with commercial and analytics stakeholders to define success metrics and ensure AI solutions are designed to deliver measurable value.
• Define pilot or MVP solutions that test solution applicability, confirm value measurement and define supporting process changes.
• Identify opportunities to reuse, standardize, or scale AI capabilities across brands, markets, or commercial functions.
• Remain hands on as needed, contributing to or reviewing development, experimentation design, feature engineering, and analytical pipelines.
• Apply best practices in data science, including model validation, bias assessment, explainability, and documentation appropriate for a regulated environment.
• Support the responsible application of advanced analytics, machine learning, and generative AI techniques in commercial contexts.
• Partner closely with Commercial, DEC Data Engineering, Architecture, and Security teams and Privacy and Compliance teams to support delivery of scalable, secure AI solutions.
• Translate complex technical concepts into clear, actionable guidance for non-technical stakeholders.
• Ensure commercial AI solutions align with enterprise data, AI, security, and governance standards.

Required Knowledge, Skills, And Abilities

• Solid understanding of machine learning techniques, model evaluation, and real world deployment considerations.
• Experience evaluating third party AI solutions and comparing them with internally developed approaches.
• Experience working in regulated environments with awareness of privacy, compliance, and explainability requirements.
• Strong communication and collaboration skills with the ability to influence without formal authority.
• Experience supporting AI initiatives in a matrixed enterprise environment.
• Experience working with commercial data sources such as CRM, claims, promotional, and digital engagement data.

Required/Preferred Education And Licenses

• Bachelor’s degree with advanced training or experience in Data Science, Statistics, Computer Science, Engineering, Social science fields (quantitative psych, quantitative sociology, or economics) or a related quantitative field; advanced degree preferred.

Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.

FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive.

For this role, the full and complete base pay range is: $153,600.00 - $230,400.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis.

At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan.

The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings https://careers.jazzpharma.com/benefits.html.