Ergomed Group is a rapidly expanding full service mid-sized CRO specialising in Oncology and Rare Disease.  

Since its foundation in 1997 the company has grown organically and steadily by making strategic investments and landmark acquisitions, with operations in Europe, North America and Asia 

Our company allows for employee visibility (you have a voice!) creative contribution and realistic career development.  

We have nourished a true international culture here at Ergomed.  

We value employee experience, well-being and mental health and we acknowledge that a healthy work life balance is a critical factor for employee satisfaction and in turn nurtures an environment from which a high-quality client service can be achieved. 

Come and join us in this exciting journey to make a positive impact in patient’s lives.  

​​​​​​The VP, Data and AI Products is responsible for architecting and delivering our centralized Enterprise Data Lake, driving actionable business intelligence through advanced analytics, and leveraging our proprietary data foundation to build, launch, and scale differentiating AI applications and products.

ROLE AND RESPONSIBILITIES 

• Architect the Data Vision: Define and execute the strategy for a scalable, secure, and highly accessible Enterprise Data Lake, ensuring all proprietary company data is captured, cleaned, and organized. 
• Data Governance & Quality: Establish robust data governance, privacy, and compliance frameworks. Ensure data integrity so that internal teams and AI models can trust the foundation. 
• Data Democratization: Treat the Data Lake as an internal product. Create intuitive access layers, APIs, and self-serve capabilities for internal stakeholders, engineers, and data scientists. 
• Strategic BI & Reporting: Oversee the development and deployment of enterprise-wide Business Intelligence dashboards, reporting frameworks, and visualization tools to drive operational excellence and visibility at the executive level. 
• Self-Service Analytics: Empower business units (Marketing, Sales, Finance, Operations) with self-service analytics capabilities, reducing bottlenecks and fostering real-time, decentralized decision-making. 
• Predictive & Prescriptive Insights: Drive the organization's evolution from descriptive reporting (what happened) to predictive and prescriptive analytics (what will happen and what we should do) to uncover optimization opportunities and new revenue streams. 
• Data Literacy: Champion a data-driven culture across the company. Establish programs to elevate data literacy, ensuring teams have the skills and context to interpret analytics accurately and use them to shape business strategy. 
• Product Strategy: Define the roadmap for disruptive AI/ML products and features. Identify high-ROI 
• opportunities where our proprietary data can create a defensible moat and drive measurable business value. 
• End-to-End Product Lifecycle: Lead the discovery, development, launch, and iteration of AI-native applications (leveraging GenAI, predictive models, and LLMs). 
• Commercialization: Partner with Go-To-Market (GTM), Sales, and Marketing teams to position, price, and successfully launch new AI products to the market.

• Degree in a business or technical field (e.g., statistics, applied mathematics, data science, computer science, operations research)

We prioritize diversity, equity, and inclusion by creating an equal opportunities workplace and a human-centric environment where people of all cultural backgrounds, genders and ages can contribute and grow.  

To succeed we must work together with a human first approach. Why? because our people are our greatest strength leading to our continued success on improving the lives of those around us. 

 We offer: 

• Training and career development opportunities internally  

• Strong emphasis on personal and professional growth 

• Friendly, supportive working environment 

• Opportunity to work with colleagues based all over the world, with English as the company language