AI Engineering Lead

Key Skills

Aartificial intelligence, Agile methodologies, Azure, Computer Vision (CV), DevOps, Effective communication skills, Github, JIRA, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP)

Job Description

• Lead the design, development, and deployment of AI and data solutions to drive business performance and potential – Engage and end-to-end approach by connecting all the pieces of channel, system, data, leveraging all available assets to drive business results (i.e. CRM, external data…)
• Create, align and drive Tech strategy for Marketing, Sales and Medical to (1) support/influence Marketing Strategy to maximize AI and digital technology (2) contribute to overall Tech strategy roadmap
• Identify unmet business challenges including unmet medical needs and proactively address/propose solutions
• Influence and lead adaption of AI and advanced digital solutions in marketing space, including but not limited to digital marketing
• Establish strong partnership with Marketing, Sales, Medical and Business Excellence senior stakeholders and brand managers
• Support Marketing strategy execution – product launch, brand visibility, lead generation, digital marketing customer journey, customer engagement, KPI, SEO, marketing agencies management
• Work closely with Tech peers to support, guide, direct Product managers and Squad leaders to ensure key products and initiatives/projects are effectively connected to Marketing strategy
• As a member of Japan Tech Leadership Team, lead department-wide initiatives not limited to his/her own space
• Develop strong collaboration relationships with Tech peers and external partners at all levels (local/regional/global)
• Lead, coach, mentor, develop members and take active role in overall department performance management process, by proactively providing feedback

Required Skill, Experience, Etc.

Basic Qualification

Skill

• Leadership skills, ability to influence non-tech background audiences at all levels (from staff to executive)
• Profound knowledge and experience in Artificial Intelligence (including Generative AI), Machine Learning, from initial prototyping to system design and deployment
• Extensive experience with Advanced Analytics and Artificial Intelligence, with a particular focus on Natural Language Processing (NLP) and Natural Language Understanding (NLU).
• Demonstrated expertise in working with large language models, including their design, implementation, and deployment
• Track record of translating complex Machine Learning and AI concepts into actionable solutions that drive business value
• Experience with leading-edge NLP tools, libraries, and methodologies
• Working understanding of branding and marketing fundamentals
• Working understanding of development of methodologies (i.e. traditional waterfall, lean, agile)
• Team development, talent development and performance management
• Expertise in managing stakeholders at all levels - Excellent facilitation skills, able to bring together stakeholders with diverse agendas, gain alignment and drive change.
• Strong analytical skills with attention to detail
• Strong prioritization based qualitative and quantitative business benefit

Experience

• 10+ years of industrial experience in data, advanced analytics and AI with knowledge in data standard, security and governance.
• 5+ years of leadership level experience with end-to-end digital services portfolio and budget management for a business of significant size and complexity
• 3+ years of team management, using Agile
• Marketing and/or technology strategy development
• Management of technical partners and off-shore external partners
• International working environment
• Recent experience in leveraging modern technology (i.e. Computer Vision, AR/VR, IoT)

Education/certification/Language

• Exceptional business communication skills in both Japanese and English
• Bachelor’s degree or above in economics, business, statistics, applied mathematics or other quantitative fields OR
• Bachelor’s degree or above in Computer Science or related discipline

Preferred Qualification

Skill

• Agile scrum master (with practical project leading/management experience)
• Proficiency of Microsoft AZUR is preferred.
• Working knowledge of Agile tools (e.g. JIRA, VersionOne, Asana, Azure DevOps, GitHub etc) and methodologies (Scrum, Kanban) is preferred.

Experience

• Any experience relevant to data/AI product development, data analytics /AI services delivery, analytics consultancy and digital marketing
• Pharma industry experience or strong curiosity in learning knowledge in pharmaceutical of both commercial and medical
• Enterprise agile coaching experience