Digital Business Consultant

DIGITAL BUSINESS CONSULTANT

What will be your impact?

AI/ML enables to create superior performing organizations. What these digital and AI/ML enabled organizations exactly look like is unknown. Innovation, creativity, perseverance and  digital business and AI/ML technology craftsmanship will create them. We are looking for a Digital Business Consultant that will push the boundaries for our customers. 

Your role

Your role as Digital Business Consultant is to lead compelling digital business engagements applying AI/ML to create business benefits. You will be working with clients to define their roadmaps, design use cases and shape their digital business. Use cases could be for example the introduction of voice enabled chatbots, text analytics to classify emails or documents, or a digital twin to reduce waste of a production process. 

Typically you will apply design thinking, agile and digital maturity methodologies working in multidisciplinary teams.You will lead by example supporting customers work in a digital business way. Essential for success will be your seamless cooperation with the AI and Analytics experts from Digital Sundai and our network partners. Next to being an effective project manager in the field of digital, AI & analytics we expect you to be an entrepreneur in acquisition, and a strategic innovator of our services.

Where

At Digital Sundai based out of Amsterdam. A young and ambitious start-up.

Digital Sundai strives to create superior organizations through Digital & AI. We believe Digital & AI projects only succeed when technology & business are both done right. We bring experienced digital business competence and top AI & Analytics expertise. Executed through our agile digital culture and methodology. Digital Sundai is a networked enterprise which only works with top digital talent & top digital partners. We are an Open company and an integral part of the Digital community with relations and access to the latest Business & Tech start-ups, scale-ups academia, and established companies. Google Cloud is our preferred Technology ecosystem

Working in creative, agile teams, you’ll help clients discover, design and unlock the digital opportunity for their organizations. You’ll help them modernize their data and analytics environments, and apply next generation AI/ML technologies. These are technologies driven by the transformational impact of AI-enabled, automated processes and optimized through human-centered design.

What we offer

  • a fixed salary.
  • employee ownership of the company (shares) as we believe in entrepreneurship.
  • flexible working hours and the opportunity to work from home.
  • a good pension scheme.
  • 25 days of paid holiday annually, and the opportunity to purchase additional holiday days annually.
  • a 32- 40 hour working week.
  • the opportunity to take unpaid leave.
  • a good mobility budget allowing you to lease a car, use public transport or get reimbursed for travel costs.
  • a laptop and a phone,  which are also for personal use.
  • great growth opportunities. Depending on your ambitions and performance, you can grow into a new role every 2 to 3 years.

What you offer

  • Academic Master Degree, preferably in Business, Information Sciences or Analytics. Additional experience in consultancy is making you an even better fit.
  • >4-6 years of relevant experience as digital business consultant with a track record of making significant digital business impact..
  • Digital technology savvy and with a passion for AI/ML & Analytics. And you believe as us that this is the ultimate professional playground for years to come.
  • Strong digital business skills and mindset like agile, design thinking, digital maturity and innovation processes.
  • Advanced knowledge in leading AI & analytics tools such as Tensorflow, Hadoop and data visualization tools. Experience with the Google Cloud Platform or even GCP certification would make you a dream candidate.
  • Very strong communication skills and proven experience in building effective relationships with business experts, engineers and C-level decision makers.
  • Proven experience in analytics project management and customer account management
  • You are ambitious, commercial and entrepreneurial
  • You are a team player and you have a proven record in managing multidisciplinary teams
  • Knowledge of Dutch and English

Optimizing sales through AI and analytics

Optimizing sales through AI and analytics

B2B-sales is traditionally focused on human interactions with limited support from digitization. However, digitization can boost the effectiveness and efficiency of your sales team. Besides ensuring the ability to target the right customers at the right time, digitization can help provide additional insights, support deal qualification and enable your team to hunt the long tail of opportunities efficiently.
Case: Selling the long tail opportunities through AI
In some businesses the smaller sales opportunities require almost as much sales effort as the bigger ones. For sound economic reasons sales teams tend to spend little time on these long tail opportunities. At the same time these opportunities could typically add 10-15% additional revenue when pursued.

What if digitization with AI could support sales teams in closing these long tail deals in an efficient way? Have a look at the following client case. With this client we worked to jointly develop a data product in order to predict (long tail) opportunities for their organization’s sales teams all over the world.

Here is how we did it. We used existing data to get empirical performance insights into what the most popular products were and what products were frequently sold together. We collected relevant market data, both from the client’s internal sources and external sources. We then created algorithms to detect specific issues in the marketplace and matched these with our client’s product catalog. These led to new sales opportunities and ultimately to increased product sales.

Technically we packaged these results by connecting the data sources to a data product. The resulting sales opportunities were published using an API that connected with the CRM system. The sales people are using this CRM system to manage their deals and pipeline. Quite pragmatically the automatically detected opportunities and their deal proposals were just added to the salesperson’s pipeline. Through this, sales people can benefit from the sales opportunities without having to spend a lot of time detecting the lead and devising a proposal. Now the long tail can be targeted.

Next to sales people benefitting the Product Development team can leverage the data on sales opportunities as well to help make their roadmap decisions.
The data appeared to be relevant for new opportunities, forecasting and financial modelling. The API and Cloud Platform enabled the build of a re-usable data-product within the company.

To conclude, using digitization, AI and data to make the sales process more efficient and therefore being able to address a wider range of opportunities is a great example of the benefits of digitizing sales. Especially in a profession like B2B sales we expect digital and AI to augment and complement people to their benefit.