London, GB

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The Opportunity
In your role as Implementation Consultant, you will be joining the Implementation Consulting team on working to reduce the time it takes for our projects to get delivered; including supporting customers with all aspects of their deliverables e.g., resourcing their team, securing hardware, infrastructure prerequisites, preparing data, putting together UAT testing plans, setting up users and permissions. Whilst providing best practise and improvement recommendations for internal processes e.g., installation process, kick off and workshop structure; and focusing on delivering successful projects in the shortest possible timeframe.
This role is based in our London office (Liverpool Street), this is a hybrid role so you will ideally be comfortable coming into the office 2- 3 times a week. If you’re interested in the role but require more flexibility, please speak to us! There will be occasional travel required to customer sites across the UK and EMEA.
Day to Day
Support the delivery of a successful ARIC implementation project including helping our customers to prepare for each stage in the deployment lifecycle – from scoping to design, implementation and handover to post-live support. Take ownership of actions and follow through to completion, reporting accurately on project status
Help to review and lock down project scope, working through user stories and understanding the customer’s business requirements, providing input into any potential issues or misalignment with the SoW
Attend, contribute to and present at delivery workshops, prompting and supporting internal teams to prepare appropriate content
Demo the product during delivery, tailoring content and functionality for the audience where required
Advise and lead the customer through infrastructure readiness checks. Understand common installation issues and actively work with the customer and internal teams to resolve them efficiently, documenting lessons learned for future projects
Advise and lead the customer through configuring the user interface, enabling them to take ownership of any changes they require throughout the project. Own the documentation of any customised functional features
Provide ongoing training and knowledge transfer for our customers (e.g., how projects are delivered, what they need to prepare, ARIC product features, roadmap, best practices etc.) through workshops and meetings
Investigate project issues, analyse root causes, and implement treatments to prevent the same issue reoccurring on the same or other projects across the delivery business
Develop industry, product, use cases and feature knowledge, proactively sharing information with team members to enable problem solving and remove project obstacles
Action delivery-wide improvements, continually providing feedback and insight to improve processes. Contribute to internal knowledge bases
Provide onsite support during projects at customer site particularly for meetings, workshops, and testing phases. Approximately 20% of your time will be on site with customers, 20% in Cambridge with the delivery team and 60% in London
About you
Must haves:
Experience working alongside a commercial or technical team; or experience working client side either at a bank or payments company
Experience managing complex customer requirements and expectations, common challenges and mitigations
Strong academic background (Technology or scientific degree)
Excellent written and verbal communication as well as good presentation skills. Proficient English language skills are required
Interest in the fraud and financial crime domain as well as detection strategies
Technical awareness of infrastructure and operating systems (Linux), cloud computing (Azure, AWS), data types (CSV, XML, JSON) and database technologies
Strong ability to engage with different roles in the internal business such as sales, accounts, technical, SME’s
Effectively manage high and changeable workloads towards ensuring internal and external deadlines are met
Great to haves:
Basic understanding of analytical techniques including statistical modelling and Machine Learning
Equal Opportunities
Here at Featurespace we are committed to being a place of equality, inclusion and respect to provide a safe environment for you to bring your authentic self to work. We know that we gain as much strength from our differences as we do our similarities. We value diversity and are dedicated to listening and learning from each other to build and maintain a positive and productive culture. We appreciate this will be an ever-evolving focus for the business to ensure everyone feels supported and has a sense of belonging.
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