Associate Director

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life‑threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T‑cell, T‑cell receptor (TCR‑T), and natural killer (NK) cell‑based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting‑edge therapeutics for patients worldwide. Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta‑cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma. Legend Biotech is seeking an Associate Director, Omnichannel Advanced Analytics as part of the Insights & Analytics team based in Bridgewater, NJ . Role Overview The Associate Director (AD), Omnichannel Advanced Analytics, is a senior analytics leader responsible for driving insight generation and performance measurement across non‑personal promotion (NPP) and omnichannel engagement. This role builds a rigorous, scalable understanding of which digital and non‑personal tactics work, for whom, and why—enabling data‑driven optimization of channel strategy, content, orchestration, and investment across the customer journey. The AD partners closely with Commercial, Marketing, Field Operations, and IT to translate complex data into actionable insights, influence strategic decision‑making, and embed advanced analytics into omnichannel planning and execution. This role also provides people leadership and thought leadership within the broader Insights & Analytics organization. Key Responsibilities Omnichannel Analytics Strategy & Ownership Own and evolve the omnichannel analytics roadmap for NPP, including measurement frameworks, KPI definitions, test‑and‑learn approaches, and standardized performance readouts aligned to brand and marketing decision cycles. Establish clear success metrics and accountability for non‑personal and digital engagement, ensuring consistency across brands, channels, and customer segments. Serve as the subject‑matter expert on omnichannel and NPP measurement, advising senior Commercial and Marketing leaders on performance interpretation and optimization opportunities. Measurement of Non‑Personal Promotion & Digital Engagement Quantify the effectiveness and impact of NPP tactics, including but not limited to email, web journeys, paid media, webinars/virtual programs, rep‑triggered digital, and other non‑personal touchpoints. Assess channel contribution and interaction effects across the customer journey, supporting smarter investment allocation and engagement sequencing. Design and execute test‑and‑learn initiatives to evaluate new tactics, content strategies, and orchestration approaches. Advanced Analytics & Insight Development Develop and operationalize advanced analytic assets that enable smarter, more personalized engagement, including: Customer segmentation and audience prioritization models Response and propensity models (e.g., engagement likelihood, next‑best‑action, or next‑step likelihood) Content and channel optimization models (what message works, where, and when) Journey analytics, including pathing analysis, drop‑off identification, and sequencing optimization. Translate advanced analytics outputs into clear, actionable recommendations for non‑technical stakeholders. Cross‑Functional Partnership (Commercial & IT) and Leadership Partner closely with Commercial, Brand Marketing, Digital, Field Operations, and Market Research teams to align analytics priorities with business objectives and omnichannel strategy. Collaborate with IT, Data Engineering, and platform teams to ensure scalable, compliant, and reliable data pipelines, analytic environments, and reporting solutions that support omnichannel use cases. Contribute to the broader Insights & Analytics leadership team by shaping standards, best practices, and long‑term capability building in advanced analytics and omnichannel measurement. Lead the development of executive‑ready performance readouts, insights summaries, and recommendations for senior leadership. Decision Making The Associate Director will work independently to make decisions related to technical direction, methodologies, approaches on how to address key business questions. Strong collaboration with cross functional teams and robust alignment with Manager will be needed in the identification of Key Business Questions and priorities. Requirements Master’s degree (preferred) or bachelor’s degree in business, Analytics, Economics, Data Science, or related field; advanced degree preferred. 8–12+ years of experience in pharmaceutical or life sciences analytics, with strong focus on omnichannel, digital, and non‑personal promotion (NPP) measurement. Demonstrated experience at the Associate Director or equivalent level, owning analytics products, dashboards, or performance frameworks used by senior leadership and commercial teams. Proven expertise in omnichannel and digital engagement analytics, including email, web, media, virtual programs, CRM‑triggered digital, and cross‑channel orchestration. Strong understanding of omnichannel measurement and optimization approaches, including segmentation, engagement and response modeling, journey analytics, and channel effectiveness assessment. Deep knowledge of commercial pharmaceutical data (sales, claims, CRM, engagement, media, market research) and KPI frameworks. Strong leadership and communication skills, with the ability to translate complex analyses into clear, decision‑ready insights for executive audiences. Proven cross‑functional collaborator with experience partnering closely with Commercial, Marketing, Digital, Sales Operations, IT, and Data Engineering. Experience enabling AI‑ and advanced‑analytics outputs (e.g., segmentation, propensity scores, next‑best‑action) through reporting and insight tools, in partnership with Advanced Analytics teams. Demonstrated ability to automate reporting, scale self‑service analytics, and improve speed‑to‑insight while maintaining data quality and governance. Pay Range (Base Pay) $193,629 - $254,137 USD Please note: These benefits are offered exclusively to permanent full‑time employees. Contractors are not eligible for benefits through Legend Biotech. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at‑will and may be terminated at any time with or without cause or notice by the employee or the company. 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