Sr / Principal Business Impact Lead – R&D Pharma (AI Solution Architect)

AILY LABS; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work model with global team interactions

Open feedback culture and continuous learning

Job summary

AILY LABS is seeking an R&D Business Impact Lead in New York City to embed Aily App into core R&D routines for Fortune 500 companies. This expert will translate R&D processes into product requirements, drive client value realization, and ensure AI integration in decision-making.

The ideal candidate will have strong experience in R&D strategy and decision-making in large enterprises. This role offers a hybrid work model and competitive compensation.

Qualifications

• 5/7+ years of experience in R&D strategy, consulting, or clinical operations.
• Exposure to R&D analytics and digital transformation.
• Background in tech consulting or product-facing roles.

Responsibilities

• Act as the R&D domain expert and solution architect for Aily App.
• Drive rollouts from entry-point use cases to enterprise-wide adoption.
• Ensure AI is embedded into daily R&D governance.

Skills

Strong understanding of R&D decision-making

Tech-savvy profile with AI concepts

Strong communication skills

Experience in R&D strategy

Education

Bachelor, Master, PhD, or MBA in Life Sciences, Engineering, Business

Job description

Mission

As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. Your mission is to embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, enabling Fortune 500 companies to move faster from signal to scientific and portfolio action.

What You Will Do

Act as the R&D domain expert and solution architect for Aily App modules:

Internally

Translate R&D routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high‑impact R&D use cases.

Externally

Drive client value realization by leading deployments, guiding R&D data readiness, validating AI through portfolio and clinical leadership feedback, upskilling R&D managers and executives, and accelerating time to value.

R&D Solution Architecture

• Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic
• Define AI outcomes and R&D decision quality standards
• Co‑shape scalable product capabilities across research, portfolio, and clinical use cases
• Partner with Product, ML, and Engineering on feasibility and R&D operational readiness
• Define and own data requirements, data collection, and AI fine‑tuning needs to accelerate deployment and time to value
• Influence the product roadmap through client impact and adoption insights

R&D Authority in the Room

• Act as the trusted R&D domain expert for clients and internal Product and AI teams
• Be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives
• Represent R&D user needs in product and roadmap discussions
• Communicate AI and data topics, assumptions, and trade‑offs in clear business language

Deployment, Adoption & Time‑to‑Value

• Drive rollouts from entry‑point use cases to enterprise‑wide adoption
• Own time to first active user and time to routine across R&D deployments
• Upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns
• Ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision‑making cadences

Your Profile

Must Have

• Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field
• Strong understanding of R&D decision‑making in large enterprises, including portfolio governance and clinical development processes
• 5/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles
• Exposure to R&D analytics, performance management, or digital transformation initiatives
• Tech‑savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams

Strongly Recommended

• Background in tech consulting, solution architecture, or product‑facing roles
• Experience with AI‑powered, analytics, or data‑intensive R&D products
• Exposure to enterprise SaaS environments
• Experience mentoring, leading, or scaling small teams or domain practices
• Experience working across global R&D organizations or multi‑therapeutic portfolio teams
• Proven experience working with Fortune 500 or large enterprise clients
• Extreme ownership mindset, with accountability for outcomes, adoption, and time to value
• Strong communication skills with senior procurement and executive stakeholders
• Ability to operate autonomously in complex, multi‑stakeholder environments

Why Aily

• Work at the intersection of AI, manufacturing, and supply chain transformation, shaping how Fortune 500 companies operate
• Take real ownership of outcomes, from product design to measurable operational impact
• Partner directly with manufacturing site leaders, supply heads, and executive teams across global organizations
• Be part of a high‑performing, international team with strong product and AI DNA
• Hybrid setup with 2–3 days per week in our Madrid, Barcelona or Munich office
• Competitive compensation with performance‑based rewards
• Open feedback culture, continuous learning, and freedom to experiment
• Memorable team off‑sites, global events, and a culture that values ambition, autonomy, and impact

About Aily

Aily Labs is a fast‑growing applied AI scale‑up founded in 2020, with hubs in Munich, Barcelona, Madrid, New York City, and Cluj‑Napoca. We build AI‑powered products that help large enterprises make better decisions, faster.

Our flagship AI mobile app delivers real‑time, actionable business recommendations across core functions, breaking silos and embedding AI directly into daily business routines. We are the reference decision intelligence platform for AI‑driven decision‑making in large organizations.