Associate Director, Advanced Analytics

Overview Join the Alnylam Commercial Data and Analytics team and help build a product‑driven engine that turns data‑driven insights into deployed decisions with measurable business impact. As part of Customer Experience and Innovation, you will work cross‑functionally with technical and business partners to accelerate commercial outcomes by standardizing what we build, how we build it, and how we deliver it through the tools and workflows business users rely on every day. As Associate Director, Advanced Analytics, you will contribute to prioritized Value Teams across the commercial organization: Business Performance & Drivers, Customer & Account Growth, Omnichannel & Media Optimization, Patient Pull‑Through & Outcomes, and Evaluation & Learning. Value Teams collaborate fluidly to deliver and manage decision products that enable specific business outcomes, driving competitive foresight and actioning for the commercial organization through predictive and prescriptive analytics. In this role, you will bring product thinking to analytics end‑to‑end. You will be deeply embedded with the business to lead discovery and problem framing, define decision logic and success measures, and partner with engineering and platform product management to deliver analytics that are adopted, measurable, and continuously improved. You will work within and across multiple Value Teams, leading on specific outcomes while also building reusable analytical components and shared standards that accelerate delivery across the broader portfolio. The position will be based in Cambridge, MA. Key Responsibilities Work within and across multiple Value Teams, aligning to transparent priorities and delivering reusable analytics that scale across franchises and markets. Own analytics product strategy and roadmap for assigned decision products: identify the highest‑leverage decisions, size opportunity, and sequence releases to maximize impact and adoption. Lead complex decision‑product analytics such as launch readiness and early performance, competitive dynamics and share shifts, account opportunity prioritization, and patient journey risk forecasting, with outputs embedded into core workflows. Drive end‑to‑end product framing for decision‑focused use cases: user definition, problem statement, hypotheses, decision points, and success metrics that combine value and adoption. Translate business needs into deployable analytic requirements, including thresholds, segmentation logic, trigger definitions, measurement plans, and learning loops that improve over time. Deliver decision‑ready insights with clear storytelling and stakeholder‑ready visuals, including executive‑level readouts that drive decisions and follow‑through. Partner with engineering to move prototypes into production and define expectations for monitoring, retraining, and operational performance where models are involved. Partner with Data Stewardship to define and use single source of truth metrics, ensure traceability to governed definitions and gold‑layer data products, and contribute to analytics engineering using dbt‑informed specifications and documentation. Use AI tooling to increase efficiency and throughput, including AI‑native IDEs and safe use of agentic AI analytics when appropriate; operate in agile delivery rhythms using Jira and GitHub‑based version control for analytic artifacts. Qualifications BS degree in Business, Data Science, Computer Science, Engineering, Information Systems, or related field, or equivalent experience. 9+ years in commercial advanced analytics or data science, ideally in healthcare or life sciences. Strong product‑thinking and cross‑functional delivery skills, including discovery, prioritization, measurement discipline, and adoption‑focused enablement. Advanced proficiency in SQL and Python or R, and comfort with modern analytics tooling such as Spark and dbt for analytics engineering and metric standardization. Experience with AI and ML frameworks and APIs, and partnering with engineering to productionize analytics and support monitoring. Experience using AI tooling to improve throughput and quality, including responsible use of agentic AI analytics and AI‑native IDEs. Experience with healthcare data such as EHR, administrative claims, and laboratory data, including common vendors and datasets. Strong measurement and inference skill set, including experimentation, causal inference, uplift modeling, optimization, or advanced forecasting as relevant to commercial and patient decisions. Proven ability to communicate complex insights to diverse audiences, including senior executives, with strong attention to detail and problem‑solving skills. Experience working in Jira and collaborating using git‑based version control in GitHub. Value Teams Business Performance & Drivers : delivering a single, trusted view of performance, key drivers, and competitive dynamics to unlock growth through sophisticated products and skillful leadership in business reviews. Customer & Account Growth : optimizing commercial levers across field, strategic accounts, and digital to achieve sales ambition through proactive opportunity analytics and predictive insight, productized to drive ongoing value. Omnichannel & Media Optimization : enabling proactive management of channel mix, messaging, sequencing, and spend through data products and a centralized user console. Patient Pull‑Through and Outcomes : identifying and preventing journey drop‑offs and targeting access interventions to start and sustain therapy, enabling a differentiated patient experience that continuously improves outcomes. Evaluation & Learning : providing objective measurement of what worked and why and feeding learnings back to enable rapid optimization of commercial strategies and investment guidance. U.S. Pay Range $164,000.00 - $221,800.00 The pay range reflects the full‑time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short‑term incentive award (e.g., bonus or sales incentive) and an annual long‑term incentive award (e.g., equity). Alnylam’s robust Total Rewards package is designed to support your overall health and well‑being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts, and a 401(k) with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company‑wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well‑being reflects our belief that caring for our people fuels the impact we create together. At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E‑Verify Employer. #J-18808-Ljbffr Alnylam Pharmaceuticals