Managing Director Data Science

Company Description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 

AI, Data & Quantitative Business Line Description

Our AI, Data & Quantitative Business Line operates globally, worldwide and seamlessly through 6 Centers of Excellence based in the US, Canada, France, UK / Ireland, Netherlands / Belgium, Dubai and Hong Kong, to make AI valuable and accessible for our clients and for Sia management consultants. Our team of 250 Data experts (80% data scientists, actuaries and ML Ops, 15% Data Engineers and DevOps Engineers) develop new AI algorithms to support our clients in their technological transformation to forecast needs, optimize productivity, improve data quality, assist in decision-making, improve customer knowledge…

We help our customers get the most value out of their data, on their own platform, using best-in class AI techniques. We deliver services from strategy, AI roadmap definition, organization set up, proof of concept realization, to product industrialization. We increase our value-added and accelerate delivery thanks to pre-built packages from our R&D Labs.

We develop heka.core, a proprietary DevSecOps platform that hosts our solutions, enabling code best practices and the security of our applications. Depending on the use case, our customers can use heka.core directly or make it interop with their own platform.

We build AI-powered heka.ai SaaS solutions to cover different use cases, for which AI provides an answer to our customers' needs.

Job Description

As a Managing Director you will support Sia growth by using your business development, sales, account management and Data Science expert skills.You will be working together with a highly motivated team of Directors and Partners all over the world as well as consultants in the Netherlands.

You will be responsible for developing the NL Data Science Center of Excellence in Amsterdam, in terms of sales and people management:

• Lead sales at existing clients but also new clients
• Lead Commercial proposals
• Lead business delivery and team management at new and existing clients
• Attain both sales and delivery targets
• Provides technical leadership to a team of data science, data engineers and data strategists
• Provide industry guidance, strategies and implementation of best practices.
• Recruit new talents and develop your Center of Excellence’s team to reach the expectations of a rapidly growing Business Line
• Build and lead your team on missions but also in commercial endeavors
• Contribute to internal projects heka.ai, our accelerator for Data Science projects

Qualifications

• You have successfully completed your Master’s Degree or PhD. Your degree should be in computer science, applied mathematics, statistics, machine learning…
• You have at least 12 years experience within a consultancy company
• You have relevant experience providing data science and advanced analytics solutions.
• You have a proven track record in selling data science solutions to various industries
• You have the ability to build, manage and foster a team-oriented environment and to mentor team members
• Excellent communication and presentation skills.
• You are dynamic and able to achieve results with an entrepreneurial mindset.
• Professional level Dutch and English essential. 

Additional Information

We are unable to provide a work permit for this position

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.