Director, Advanced Analytics - Business Performance

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 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.

Key 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.

Qualifications

• 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.

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

$195,500.00 - $264,500.00

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.

Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: https://www.alnylam.com/careers

About Alnylam

We are the leader in RNAi therapeutics – a revolutionary approach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possible and are just at the beginning of what’s possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, where an authentic, inclusive culture and breakthrough thinking fuel one another.

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.