Legend Biotech US
Associate Director, Omnichannel Advanced Analytics
Bridgewater, New Jersey, United States · Director
Sponsorship not specifiedDetected 8 days ago
Data EngineeringData ScienceCRMSalesResearchLeadershipCommunicationCollaboration
About the role
- 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 also provides people leadership and thought leadership within the broader Insights & Analytics organization.
Responsibilities
- 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.
- Design and execute test‑and‑learn initiatives to evaluate new tactics, content strategies, and orchestration approaches.
- 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.
Requirements
- 8-12+ years of experience in pharmaceutical or life sciences analytics, with strong focus on omnichannel, digital, and non‑personal promotion (NPP) measurement.
- 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., segm
Nice to have
- Master's degree (preferred) or bachelor's degree in business, Analytics, Economics, Data Science, or related field
- advanced degree preferred.
Skills
- 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.
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