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

Aily Labs GmbH; New York (NY); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Competitive compensation

Performance-based rewards

Hybrid work model

Continuous learning opportunities

Memorable team events

Job summary

A leading tech company is seeking a Sr / Principal Business Impact Lead to act as a solution architect for AI applications in R&D. This role involves translating R&D routines into product requirements while ensuring successful deployments for Fortune 500 clients. The ideal candidate will have a strong background in R&D decision-making and 5+ years of relevant experience. This position offers a hybrid setup with competitive compensation and performance-based rewards.

Qualifications

• 5+/7+ years of experience in R&D strategy or pharmaceutical consulting.
• Proven experience working with Fortune 500 clients.
• Strong understanding of portfolio governance and clinical development processes.

Responsibilities

• Act as the R&D domain expert and solution architect for Aily App modules.
• Drive client value realization by leading deployments and guiding readiness.
• Influence the product roadmap through client impact insights.

Skills

R&D decision-making expertise

Strong communication skills

Extreme ownership mindset

Tech-savvy profile

Client engagement

Education

Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field

Job description

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

Permanent employee, Full-time · US (New York)

Salary: 180,000 - 220,000 $ per year

Mission

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.

You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.

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

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
• 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 R&D and executive stakeholders
• Ability to operate autonomously in complex, multi-stakeholder environments

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

Apply for this job