Implementation Lead - London, United Kingdom - CluedIn

Description

We believe that the world's challenges can be solved with data and we are building new technology to help with this vision.

Unlike traditional data management platforms, CluedIn is quick to implement, simple to set up and can integrate hundreds more data sources than its nearest competitor.

Our innovative, zero-modelling approach allows organisations to prepare, govern and proliferate both structured and unstructured data from across the business, ensuring that it is ready to use and easily accessible across the whole value chain.

Companies like SAP, Unifeeder and Saxo Bank are using CluedIn to improve data quality, unify their data silos and create a central source of truth.

By providing a single view of anything, they can serve their customers better, drive efficiencies and realise new revenue opportunities.

Recommended by Microsoft as a partner for Master Data Management, the CluedIn platform integrates seamlessly with Microsoft's data services, including Microsoft Purview, Azure Data Factory, Power BI and many more.

This Azure-powered data ecosystem is helping global business to deliver value from their data more quickly and easily than ever before.

By ripping up the Master Data Management rulebook and reinventing how companies prepare data for insight, CluedIn is bringing trust back to big data platforms, enabling machine learning projects and fuelling business intelligence initiatives at scale.

With a presence in Denmark, Australia, and the UK we have recently secured series A funding of $15million which will allow us to scale up the business as we now enter a very exciting time in our journey.

• Proactively and communicate and update task status on projects.
• Work with the customer and be part of the customer journey from installation to live and take responsibility for the technical implementation of CluedIn
• Be part of the Customer team on a day to day basis
• Work with the wider Services team to understand customer requirements, analyse Customer requirements from a functional and technical perspective and size the work together with the Delivery Managers
• Highlight risky items and design happy paths in areas identified as gaps.
• Responsible for the customer solution and data design, define the best functional and technical solution for the customer to meet their scope and use cases
• Acting as lead on customer projects and be able to delegate work across projects.
• Install and implement CluedIn for the Customer, configure, integrate, and customise CluedIn based on customer requirements and their use cases
• Challenge the customer to ensure the implementation design and solution are the best possible for them and their use cases
• Provide demonstrations and training on the solution to Stakeholders
• Partake in technical project reviews
• Provide technical guidance to our customers and partners, and promote CluedIn best practices
• Proactively improve processes to promote better quality and safer deployments and feedback on the product to internal teams
• Contribute to the continuous improvement of CluedIn by logging impediments and discussing customer issues with the Product team to influence the Product development
• Responsible for raising User Requests/Impediments of high quality, which can then be used and triaged via Head of Implementation
• Acting as key stakeholder on new features, this include testing features prior to customer release and providing valuable and useful feedback to the product team.
• Act as the technical adviser and customer representative in the organisation, provide technical advice for sales and customers
• Responsible for own upskilling in CluedIn, this included keeping up to date with new versions of the product and they underlying product technologies.
• Support Head of Implementation in technical upskilling of the team. Provide technical support and guidance for the Implementation team, mentor and coach team members

• Azure Data factory
• SQL
• C#/JAVA
• JSON + XML
• GraphOL
• REST + SOAP ( + similar protocols)

• Diserable
• Kafka/Azure Service Bus (or equivalent Event streaming platform)
• Event stream processing pattern (ESP)
• Azure Portal
• Azure Event Grid
• Azure Event Hub
• Azure Functions
• Azure Kubernetes Service
• Data Management experience

• Customer focused and has the ability to build and nurture relationships
• Good presentation skills
• Stakeholder management
• Consultative
• Good communication
• Hungry to learn
• Ability to work independently and with autonomy

• Communicate transparently
• Be curious and think differently
• Work with n