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Head of Engineering for Intelligent Automation: Unstructured Data, Conversational AI, Robotics and Digital Products

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

End Date Saturday 14 January 2023 Salary Range £116,272 - £145,340 We support agile workingclick here for more information on agile working options.Agile Working Options Flexible / Variable Hours, Other Agile Working Arrangements / Open to Discussion Job Description Summary This is a role for a team leader with a technical pedigree who works collaboratively with others to create empowered teams who are motivated to tackle business problems and realise value to customers. The Intelligent Automation team are at the forefront of the Banks ambition to use exciting new technology to help Britain prosper. To do this were working with ground-breaking technologies at scale to harness the Banks unstructured and conversational data,generating a deeper and more intelligent understanding of our customers from their channel data to power digital experiences that are cognitive, proactive and in-the-moment.As the Engineering Lead, youll work collaboratively with your Product Owner counterpart in a two-in-a-box model while your engineering teams day to day activity will be structured through Agile methodologies. Youll be responsible for setting the labstechnical direction and uplifting our existing digital assets whilst working and coaching a wide variety of technical Engineering fields. Youll pioneer a Fail Fast, Learn Faster mentality within teams to experiment and test new ways of engineering, to actas a change agent for engineering and team culture, fostering a test and learn approach. Job DescriptionHead of Engineering (Data Engineering-Big Data-Artificial Intelligence) London based(2 days in the office)Were a family friendly organisation who focus on delivery, not time at your desk. A mature, flexible work environment, flexible start/finish hours, agile working practices. We care about your mental health and want to enable a good work-life balance.Who are Lloyds Banking GroupLloyds Banking Group is the UKs leading digital franchise, with over 13 million active online customers across our three main brands - including Lloyds Bank, Halifax and Bank of Scotland - as well as the biggest mobile bank in the country. Were buildingthe bank of the future, and we need your help.Where will this role sitInIntelligent Automationwe design, build, and operate the banks Digital interfaces, Chatbots, NLP/NLG data science models and platforms, and Robotics capabilities. Were leading the way in the industry, having been recently benchmarked in the top quartilevs. our peers.A diverse group of people: Software Engineers, Product Owners, Business Analysts, Data Scientists, Data Engineers, Robotics Specialists, Conversation Designers and many more. We come from a variety of backgrounds across the globe, but we all share in thevision of the untapped potential of human and machine intelligence.What will I doA great opportunity has arisen for a Head of Engineering for Intelligent Automation, a team covering several labs. This is a critical role to help the bank drive forward a rapidly expanding and dynamic set of capabilities tied to conversational banking,unstructured data, and artificial intelligence.One part of the role is resolving complex infrastructure challenges, across our platforms and applications, including oversight for platform upgrades and migrations to target cloud solutions. Equally important is advancing our existing capabilities in linewith cutting-edge industry advancements. The ideal candidate will inspire delivery whilst encouraging simplicity and developing confidence & trust.We believe that people dont fit neatly into roles, and we value everyones individual skills, experience, and knowledgeits what makes you amazing!Key responsibilities

  • Leading a multi-disciplinary team who are developing, deploying, and running Intelligent Automation capabilities across the whole of Lloyds Banking Group.
  • Providing thought leadership and technical direction across Robotic Process Automation, Chatbots, OCR, speech & text analytics, and customer interfaces for identity verification and digital document sharing.
  • A role model, coaching your team of highly capable engineers, demonstrating engineering excellence across a number of technical skills in data, analytics and software engineering
  • Responsible for the migration and promotion of our digital assetsunstructured data lake, machine learning models, software applicationsto the public cloud
  • Leading in value release from the banks data through the development of reusable assets and patterns and demonstrating the benefits of public cloud
What were looking from you
  • Experience in delivery through agile methodologies and can demonstrate engineering excellence
  • Industry awareness of technology advancements in this space (Robotic Process Automation, Chatbots, OCR, speech & text analytics, and customer interfaces for identity verification and digital document sharing)
  • Expertise in deploying and managing intelligent and data-intensive applications with experience with data lakes / warehouses and data engineering solutions in the Cloud
  • A strong and experienced people leader, able to inspire and encourage the best from their teams
  • Confident relationship manager with the communication skills necessary to influence senior partners across a broad network to generate and refine data, technical and analytical experiments, course-correct initiatives towards strategic solution and ensureconfidence in delivery.
  • Manages resources within agreed headcount budget, ensuring efficient resource allocation and consideration to known business plans and project roadmaps
  • Proven track record of building and leading engineering teams with line management responsibilities
  • Hands-on engineering experience, preferable within a complex technology environment spanning both legacy and modern platforms
  • Strong knowledge of intelligent automation capabilities and supporting infrastructure Knowledge of modern software development toolsets including DevOps, Continuous Integratio
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