Director, Advanced Analytics - Business Performance

Alnylam Pharmaceuticals

4d • Onsite

About The Position

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 Director, Advanced Analytics, you will lead the Business Performance & Drivers and Patient Pull-Through & Outcomes Value Teams, and contribute as needed to additional prioritized Value Teams across the commercial organization, including Customer & Account Growth, Omnichannel & Media Optimization, 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 lead advanced analytics as a portfolio of decision products and set the standard for product thinking across analytics delivery. You will combine deep business partnership with technical rigor to shape roadmaps, define success measures, and ensure analytics are adopted, measurable, and continuously improved. As a Director, you will also provide people leadership for a small team and serve as the primary point of contact for leadership alignment across the Value Teams whose delivery you lead.
The position will be based in Cambridge, MA.

Requirements

• BS degree in Business, Data Science, Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
• Minimum 12 years in commercial advanced analytics or data science, ideally in healthcare or life sciences.
• Significant domain expertise aligned to the Value Team areas this role oversees, with the ability to translate business strategy into decision-product roadmaps, analytic requirements, and measurable outcomes.
• Experience leading and developing teams, including mentoring, technical skill development, and supporting career growth for team members.
• Strong product-thinking and cross-functional delivery skills, including discovery, prioritization, measurement discipline, and adoption-focused enablement across multiple Value Teams.
• Advanced proficiency in SQL and Python or R, and strong comfort with modern analytics tooling such as Spark and dbt, including analytics engineering concepts and metric standardization.
• Experience partnering with engineering teams to productionize analytics and support monitoring, evaluation, and continuous improvement.
• Comfort using AI tooling to improve throughput and quality, including responsible use of agentic AI analytics and AI-native IDEs.
• 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, and to drive alignment and decisions in ambiguous environments.
• Experience working in Jira and collaborating using git-based version control in GitHub.

Responsibilities

• Provide people leadership for a small team of 2 to 4, including mentoring, skill development, performance coaching, and career growth planning.
• Maintain oversight responsibility Business Performance & Drivers and Patient Pull-Through & Outcomes Value Teams, serving as a primary point of contact for leadership alignment, prioritization, and delivery commitments across stakeholders.
• 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, identifying the highest-leverage decisions, sizing opportunity, and sequencing releases to maximize impact and adoption.
• Lead complex decision-product analytics with outputs embedded into core workflows, such as launch readiness and early performance, competitive dynamics and share shifts, account opportunity prioritization, and patient journey risk forecasting.
• Drive end-to-end product framing for decision-focused use cases, including 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 AI/ML 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 for throughput using dbt-informed specifications and documentation while avoiding logic forks.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 501-1,000 employees