Senior / Principal Business Impact Lead – Manufacturing & Supply chain (AI at Aily Labs

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solution Architecture, Supply Chain Management, Manufacturing Operations, AI Implementation, Product Roadmap Development, Stakeholder Management, Data Analysis, Client Value Realization, Change Management, Enterprise SaaS, Operational Transformation, Business Impact Analysis

Industry

technology;Information and Internet

Description

Mission Mission As a Manufacturing & Supply Business Impact Lead, you act as the domain expert and solution architect for Aily App manufacturing and supply modules. Your mission is to embed Aily App into core routines across manufacturing sites, supply networks, and regional operations, enabling Fortune 500 companies to reduce decision latency move faster from signal to action. You own the Aily M&S client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily decision-making to deliver measurable performance impact. Your profile What You Will Do Act as the manufacturing and supply domain expert and solution architect for Aily App modules: Internally: Translate manufacturing and supply chain routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact operational use cases. Externally: Drive client value realization by leading deployments, guiding operational data readiness, validating AI through manufacturing site and supply leadership feedback, upskilling operational managers and executives, and accelerating time to value. Your Responsibilities Manufacturing & Supply Solution Architecture Translate manufacturing and supply chain routines into product requirements and AI decision logic Define AI outcomes and decision quality standards Co-shape scalable product capabilities across manufacturing and supply use cases Partner with Product, ML, and Engineering on feasibility and product 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 Manufacturing & Supply Authority in the Room Act as the trusted manufacturing and supply domain expert for clients and internal Product and AI teams Be the trusted advisor to manufacturing leaders, supply chain heads, and COOs Represent user needs in product and roadmap discussions Communicate AI and data topics, assumptions, and trade-offs in clear operational language Be the mentor and coach to the junior members of the team in terms of expertise and eminence 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 manufacturing and supply deployments Upskill and evangelize users and champions through workshops, executive sessions, and engagement campaigns Ensure AI becomes embedded into daily manufacturing site and supply decision-making cadences About You Bachelor, Master, or MBA degree in Engineering, Supply Chain, Operations, Business, or a related field Strong understanding of manufacturing site operations and supply chain decision-making in large enterprises 5-7 years of experience in consulting with focus on manufacturing, supply chain, operations transformation, or corporate manufacturing leadership roles Exposure to analytics, performance management, or AI initiatives within the domain Tech-savvy profile with familiarity with 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 and executive stakeholders Ability to operate autonomously in complex, multi-stakeholder environments Strongly preferred Background in tech consulting, solution architecture, or product-facing roles Experience with AI-powered, analytics, or data-intensive operational products Exposure to enterprise SaaS environments Experience mentoring, leading, or scaling small teams or domain practices Experience working across global manufacturing networks or multi-site supply organizations 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 Who are we? 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. What sets us apart? About us LEARN MORE

Responsibilities

Act as the domain expert and solution architect to embed AI modules into manufacturing and supply chain routines for Fortune 500 companies. Drive the client journey from initial integration to enterprise-wide adoption to reduce decision latency and deliver measurable performance impact.