Associate Director, Omnichannel Advanced Analytics

Legend Biotech
Bridgewater, New Jersey, United StatesPosted 7 April 2026

Job Description

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 RD 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 Engineerin ... (truncated, view full listing at source)
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