Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
About the role
- Director of Data Science & AI Innovation at LexisNexis overseeing AI-driven solutions and strategic leadership. Collaborating with CTO and mentoring a founding team in a hybrid work environment.
Responsibilities
- Strategic Leadership
- Collaborate with the CTO and senior leadership to scope, prioritize, and deliver AI and data science innovation projects aligned to business and product strategy.
- Define and execute our AI strategy, transforming complex business challenges into data science-driven solutions that evolve from prototypes into scalable, production-grade AI services.
- Modernize data infrastructure and deploy impactful AI capabilities including generative AI, agentic AI, and deep learning. Each tightly aligned with measurable business outcomes.
- Own the end-to-end lifecycle of AI initiatives from greenfield concept through prototyping, experimentation, and implementation into successful market-ready solutions.
- Rapidly evaluate new AI/ML techniques, architectures, and technologies for practical application.
- Champion responsible AI practices, including transparency, bias mitigation, and model governance.
- Lead and mentor a small founding team, setting the tone for a culture of innovation, experimentation, and rapid iteration.
- Establish technical best practices in experimentation, data pipelines, model development, and deployment, building the foundation for future growth.
- Foster organizational best practices by bridging data science, engineering, and product teams to embed AI across business functions, ensuring alignment through transparent communication and cross-functional collaboration.
- Inspire and develop future team members as the group expands.
- Partner with product managers to shape AI product strategies and make build-vs-buy decisions.
- Provide clear communication and insights to senior executives and stakeholders.
- Represent the AI/Data Science team in strategic forums, highlighting impact and progress.
Requirements
- Experience 12+ years in technology roles with at least 7+ years focused on data science/AI.
- 5+ years in leadership roles managing high-performing data science or AI teams.
- Proven track record of delivering greenfield AI/ML solutions into production environments.
- Experience in rapid prototyping, experimental design, and scaling AI systems.
- Deep knowledge of machine learning, natural language processing, generative AI, and modern data/ML architectures.
- Strong grounding in software engineering practices, data pipelines, and MLOps.
- Hands-on ability to contribute to early prototypes alongside a small team.
- Excellent communication skills with the ability to explain AI concepts to both technical and non-technical audiences.
- Demonstrated ability to lead in ambiguous, fast-paced, and experimental environments.
- Strong experience balancing near-term delivery with long-term technical strategy.
- Familiarity with lean product development and design thinking.
- Experience working in startup, innovation lab, or 0→1 product environments.
Benefits
- Comprehensive, multi-carrier health plan benefits
- Disability insurance
- Dependent care and commuter spending accounts
- Life and accident insurance
- Retirement benefits (salary investment plan/employer stock purchase plan)
- Modern family benefits, including adoption and surrogacy
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