Global Head of Engineering - London - Commodity Trading - up to £200k + bonus Cititec Talent has partnered with a trading firm in the search for a Managing Director level - Head of Engineering to lead their Trading business. Reporting directly to the CIO, you will use your commodities and IT expertise to deliver a world-class, robust and scalable trading platform that can support business requirements. Whilst driving business-wide transformation in IT and delivering high-performance systems, you'll develop and implement an effective technology strategy to modernise the current IT landscape. Other responsibilities include: Guiding the design and implementation of IT solutions by defining architectural principles Overseeing the design, development and implementation of technology solutions to support business-critical E/CTRM platforms Working with senior business and c-suite stakeholders to evaluate new technologies to enhance trading infrastructure whilst improving efficiency Driving the development process from concept to deployment whilst keeping to best practices Experience required: To have a background in software development within commodity trading Knowledge of trading workflows, market data feeds, algorithms and risk management principles in commodity trading Experience managing and leading global development teams Strong stakeholder management, negotiation and communication skills Must have strong analytical and problem-solving skills This role offers a hybrid working arrangement of 4 days in the office and 1 from home.
07/05/2024
Full time
Global Head of Engineering - London - Commodity Trading - up to £200k + bonus Cititec Talent has partnered with a trading firm in the search for a Managing Director level - Head of Engineering to lead their Trading business. Reporting directly to the CIO, you will use your commodities and IT expertise to deliver a world-class, robust and scalable trading platform that can support business requirements. Whilst driving business-wide transformation in IT and delivering high-performance systems, you'll develop and implement an effective technology strategy to modernise the current IT landscape. Other responsibilities include: Guiding the design and implementation of IT solutions by defining architectural principles Overseeing the design, development and implementation of technology solutions to support business-critical E/CTRM platforms Working with senior business and c-suite stakeholders to evaluate new technologies to enhance trading infrastructure whilst improving efficiency Driving the development process from concept to deployment whilst keeping to best practices Experience required: To have a background in software development within commodity trading Knowledge of trading workflows, market data feeds, algorithms and risk management principles in commodity trading Experience managing and leading global development teams Strong stakeholder management, negotiation and communication skills Must have strong analytical and problem-solving skills This role offers a hybrid working arrangement of 4 days in the office and 1 from home.
Gleeson Recruitment Group have just been briefed on a fantastic opportunity for an experienced NetSuite Administrator to join a growing organization based in Staffordshire. As NetSuite Administrator, your primary responsibility will be overseeing and maintaining our NetSuite instance across multiple territories, optimising its performance and functionality as necessary. This pivotal role supports and fortifies our NetSuite ERP system, for accounting purposes and broader business operations. You'll collaborate closely with IT, finance and other departments, understanding their needs, implementing customisations, offering user support and fostering continuous improvement. In addition, streamlining and improving the efficiency of existing business processes, to ensure the reliable integration of financial data and full compliance with accounting standards, will be a key part of the role. KEY RESPONSIBILITIES: Manage User Roles and Permissions: Administer user access and permissions within NetSuite according to organisational roles and responsibilities, regularly review and update user roles to ensure appropriate access levels and security settings. Define role-based access controls (RBAC) to enforce segregation of duties (SoD) and prevent unauthorised access to sensitive data/transactions, and maintain role hierarchies within NetSuite to reflect organisational structure and reporting relationships. Use NetSuite's audit trail and activity monitoring features to track user actions, system changes and security events, conduct periodic access reviews to validate user access rights, identify dormant accounts and remove unnecessary privileges. Enforce compliance with security policies, data protection regulations and industry standards (eg, GDPR) by configuring role-based permissions and access controls. Collaborate with internal compliance, audit and security teams to ensure NetSuite configurations align with regulatory requirements and internal security standards. Conduct periodic reviews of user activity logs and audit trails to identify potential security risks, anomalies or compliance violations. Ensure two-factor authentication (2FA) is enabled for NetSuite users to enhance account security and prevent unauthorised access. Work with functional heads and system owners across the group to review and approve access requests, ensuring compliance with least privilege principles and business needs. PBCS Administration: Responsible for the administration and configuration of Oracle Planning and Budgeting Cloud Service (PBCS) to support financial planning, budgeting and forecasting activities. Manage data integration processes, including data mapping, transformation and loading, to ensure accurate and timely updates of financial data within PBCS. Ensuring that PBCS runs efficiently in accordance with Oracle NetSuite's guidance, optimising its performance and functionality to meet the business financial planning and reporting needs. Document and Standardise Processes: Document key business processes, accounting policies and internal controls within NetSuite, including workflow diagrams, process narratives and control matrices. Standardise processes and workflows across departments to enhance efficiency, reduce manual interventions, and streamline audit procedures, with the aim of reducing enquiries and testing requirements from auditors. Establish, implement and oversee processes and protocols for the following areas: New codes and/or cost centres Management of foreign exchange (FX) rates FX rate adjustments Opening and closing accounting periods; and A sign off and approval Matrix, to ensure clear audit trail and adherence to Segregation of Duties (SOD) principles Configure and Customise NetSuite: Work closely with business stakeholders to understand their requirements and translate them into NetSuite configurations. Customise NetSuite forms, fields and records to align with business processes and data management needs. Implement custom workflows, scripts and automation to streamline business operations and improve efficiency. Utilise existing tools to create custom dashboards, reports and saved searches tailored to specific user needs. Develop and maintain custom scripts, workflows and reports in NetSuite. Stay updated on new NetSuite features, releases and industry best practices, to recommend and implement improvements. Technical Support and Training: Serve as the primary point of contact for end-user support, troubleshooting system issues, and resolving technical queries. Conduct training sessions and workshops to educate users on NetSuite functionality, best practices and new features. Create user documentation, training materials and knowledge base articles to facilitate self-service support and user adoption of best practice. Required Skills and Qualifications: Proven experience as a NetSuite Administrator or similar role, with a strong understanding of NetSuite ERP and CRM modules. Working understanding of Oracle PBCS, in relation to its use for financial planning, budgeting and forecasting processes, to support decision-making and business performance analysis. Excellent problem-solving skills with the ability to troubleshoot complex issues and find effective solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Ability to manage multiple priorities and work in a fast-paced environment. Highly desirable are Oracle NetSuite certifications such as NetSuite Administrator or NetSuite ERP Consultant. At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
07/05/2024
Full time
Gleeson Recruitment Group have just been briefed on a fantastic opportunity for an experienced NetSuite Administrator to join a growing organization based in Staffordshire. As NetSuite Administrator, your primary responsibility will be overseeing and maintaining our NetSuite instance across multiple territories, optimising its performance and functionality as necessary. This pivotal role supports and fortifies our NetSuite ERP system, for accounting purposes and broader business operations. You'll collaborate closely with IT, finance and other departments, understanding their needs, implementing customisations, offering user support and fostering continuous improvement. In addition, streamlining and improving the efficiency of existing business processes, to ensure the reliable integration of financial data and full compliance with accounting standards, will be a key part of the role. KEY RESPONSIBILITIES: Manage User Roles and Permissions: Administer user access and permissions within NetSuite according to organisational roles and responsibilities, regularly review and update user roles to ensure appropriate access levels and security settings. Define role-based access controls (RBAC) to enforce segregation of duties (SoD) and prevent unauthorised access to sensitive data/transactions, and maintain role hierarchies within NetSuite to reflect organisational structure and reporting relationships. Use NetSuite's audit trail and activity monitoring features to track user actions, system changes and security events, conduct periodic access reviews to validate user access rights, identify dormant accounts and remove unnecessary privileges. Enforce compliance with security policies, data protection regulations and industry standards (eg, GDPR) by configuring role-based permissions and access controls. Collaborate with internal compliance, audit and security teams to ensure NetSuite configurations align with regulatory requirements and internal security standards. Conduct periodic reviews of user activity logs and audit trails to identify potential security risks, anomalies or compliance violations. Ensure two-factor authentication (2FA) is enabled for NetSuite users to enhance account security and prevent unauthorised access. Work with functional heads and system owners across the group to review and approve access requests, ensuring compliance with least privilege principles and business needs. PBCS Administration: Responsible for the administration and configuration of Oracle Planning and Budgeting Cloud Service (PBCS) to support financial planning, budgeting and forecasting activities. Manage data integration processes, including data mapping, transformation and loading, to ensure accurate and timely updates of financial data within PBCS. Ensuring that PBCS runs efficiently in accordance with Oracle NetSuite's guidance, optimising its performance and functionality to meet the business financial planning and reporting needs. Document and Standardise Processes: Document key business processes, accounting policies and internal controls within NetSuite, including workflow diagrams, process narratives and control matrices. Standardise processes and workflows across departments to enhance efficiency, reduce manual interventions, and streamline audit procedures, with the aim of reducing enquiries and testing requirements from auditors. Establish, implement and oversee processes and protocols for the following areas: New codes and/or cost centres Management of foreign exchange (FX) rates FX rate adjustments Opening and closing accounting periods; and A sign off and approval Matrix, to ensure clear audit trail and adherence to Segregation of Duties (SOD) principles Configure and Customise NetSuite: Work closely with business stakeholders to understand their requirements and translate them into NetSuite configurations. Customise NetSuite forms, fields and records to align with business processes and data management needs. Implement custom workflows, scripts and automation to streamline business operations and improve efficiency. Utilise existing tools to create custom dashboards, reports and saved searches tailored to specific user needs. Develop and maintain custom scripts, workflows and reports in NetSuite. Stay updated on new NetSuite features, releases and industry best practices, to recommend and implement improvements. Technical Support and Training: Serve as the primary point of contact for end-user support, troubleshooting system issues, and resolving technical queries. Conduct training sessions and workshops to educate users on NetSuite functionality, best practices and new features. Create user documentation, training materials and knowledge base articles to facilitate self-service support and user adoption of best practice. Required Skills and Qualifications: Proven experience as a NetSuite Administrator or similar role, with a strong understanding of NetSuite ERP and CRM modules. Working understanding of Oracle PBCS, in relation to its use for financial planning, budgeting and forecasting processes, to support decision-making and business performance analysis. Excellent problem-solving skills with the ability to troubleshoot complex issues and find effective solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Ability to manage multiple priorities and work in a fast-paced environment. Highly desirable are Oracle NetSuite certifications such as NetSuite Administrator or NetSuite ERP Consultant. At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
I am working with a digital function of a large scale company in Glasgow who are looking to recruit two experienced Software Engineering Manager's to the team . The company: The business is a national renewables organisation and they are growing their digital capabilities greatly. This is a brand new position, created in order to help to develop internal software and to continue to modernise their cloud and data services. Sitting within a team of roughly 50 Software Developers, you will report into the Head of Digital and will be involved in making a number of "nitty gritty" decisions. You will be working across a widespread number of projects and these will all involve modernising the software environment (Web and Apps). The company look for some presence in office (1 or 2 days a week), but there is flex on the days. They offer strong benefits on top of the salary including a 20% bonus, car allowance, strong pension and other additional perks including family healthcare. The role: There are actually two different Engineering Manager roles available and you will be managing a team of 6/7 Engineers, in a Tribe model. The role is mostly hands-off, with more peer review, some peer programming etc. This role is majorly people management focused with minimal time to code. The teams typically work across Agile Scrum and some projects two-weekly release cycles, with some others monthly. The teams work across an abundance of technology, and this role is for someone with general technical appreciation and process and delivery. All of the squads will be across Web and App, with one more on the React and JavaScript side, with the other more Java focused across Data, ETL and APIs. However, as mentioned, there is an abundance of technologies as below: * Web across JavaScript and React * Mobile iOS * Mobile Android (Kotlin or Java) * Services (Java, Spring Boot) APIs etc Key Skills and Responsibilities: * A few years managing a team of Software Engineers (ideally 5-10 Engineers) - could be a current Manager or Team Lead * Proficient in CI/CD pipelines * Knowledge of APIs and Microservices * Technology skills across the likes of; JavaScript, React, Java, Swift, Kotlin * Agile (Scrum/Kanban) background * Strong technical delivery and coding background (code reviews, peer programming, Architecture and Design) This is an opportunity to work with a thriving and employee-first organisation. You will get to work on some large scale and modern projects and with some huge organisations, whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
07/05/2024
Full time
I am working with a digital function of a large scale company in Glasgow who are looking to recruit two experienced Software Engineering Manager's to the team . The company: The business is a national renewables organisation and they are growing their digital capabilities greatly. This is a brand new position, created in order to help to develop internal software and to continue to modernise their cloud and data services. Sitting within a team of roughly 50 Software Developers, you will report into the Head of Digital and will be involved in making a number of "nitty gritty" decisions. You will be working across a widespread number of projects and these will all involve modernising the software environment (Web and Apps). The company look for some presence in office (1 or 2 days a week), but there is flex on the days. They offer strong benefits on top of the salary including a 20% bonus, car allowance, strong pension and other additional perks including family healthcare. The role: There are actually two different Engineering Manager roles available and you will be managing a team of 6/7 Engineers, in a Tribe model. The role is mostly hands-off, with more peer review, some peer programming etc. This role is majorly people management focused with minimal time to code. The teams typically work across Agile Scrum and some projects two-weekly release cycles, with some others monthly. The teams work across an abundance of technology, and this role is for someone with general technical appreciation and process and delivery. All of the squads will be across Web and App, with one more on the React and JavaScript side, with the other more Java focused across Data, ETL and APIs. However, as mentioned, there is an abundance of technologies as below: * Web across JavaScript and React * Mobile iOS * Mobile Android (Kotlin or Java) * Services (Java, Spring Boot) APIs etc Key Skills and Responsibilities: * A few years managing a team of Software Engineers (ideally 5-10 Engineers) - could be a current Manager or Team Lead * Proficient in CI/CD pipelines * Knowledge of APIs and Microservices * Technology skills across the likes of; JavaScript, React, Java, Swift, Kotlin * Agile (Scrum/Kanban) background * Strong technical delivery and coding background (code reviews, peer programming, Architecture and Design) This is an opportunity to work with a thriving and employee-first organisation. You will get to work on some large scale and modern projects and with some huge organisations, whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
Senior Data Quality Analyst Salary - £55,000 - £65,000 + Excellent benefits Location - Birmingham/Hybrid working Key skills - Data Quality - DARMA - DCAM - SQL - Governance - Data Catalogue - Lineage - Microsoft Key Responsibilities: Data Quality Management: Collaborate with stakeholders to identify and investigate known data quality issues Develop a framework to assess, monitor, and improve data quality. Establish and implement data quality standards, ensuring adherence across business processes. Data Management: Work closely with the Head of Data Governance to implement and refine data management strategies. Contribute to the development and maintenance of master data sets in alignment with organizational objectives. Collaboration and Communication: Collaborate with cross-functional teams to understand data requirements and challenges within business units. Communicate effectively with key stakeholders, providing insights and recommendations related to data governance. Business Process Analysis: Analyse and document existing business processes related to data generation, collection, and usage. Identify opportunities for process improvement to enhance data quality and efficiency. Data Documentation and Lineage: Contribute to the creation and maintenance of data documentation, including data lineage and business glossary. Assist in building and managing a comprehensive data catalogue to enhance organisational understanding of data assets. Continuous Improvement: Proactively identify areas for continuous improvement in data governance processes and practices. Work closely with the Head of Data Governance and other team members to implement best practices and refine data governance strategies Technical/Professional Qualifications/Requirements: Extensive experience in data analysis, data quality management and data management. Strong SQL skills for data analysis, route cause analysis and manipulation. Experience with data quality tools and technologies such as data profiling, cleansing, and matching tools. Strong analytical and problem-solving skills with a keen attention to detail and the ability to articulate complex data concepts to help colleagues and business partners understand data quality issues. Excellent communication and collaboration skills with the ability to work effectively across teams and departments, using knowledge gained to influence the strategic direction. Experience with data catalogue and lineage tools. Good understand of data management frameworks such as DCAM or DAMA and how they can be used to improve data quality Microsoft Azure stack and Databricks experience desirable Number of direct reports 1+ Geographic area of impact Global Size of budget N/a Key stakeholdersBusiness stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops
07/05/2024
Full time
Senior Data Quality Analyst Salary - £55,000 - £65,000 + Excellent benefits Location - Birmingham/Hybrid working Key skills - Data Quality - DARMA - DCAM - SQL - Governance - Data Catalogue - Lineage - Microsoft Key Responsibilities: Data Quality Management: Collaborate with stakeholders to identify and investigate known data quality issues Develop a framework to assess, monitor, and improve data quality. Establish and implement data quality standards, ensuring adherence across business processes. Data Management: Work closely with the Head of Data Governance to implement and refine data management strategies. Contribute to the development and maintenance of master data sets in alignment with organizational objectives. Collaboration and Communication: Collaborate with cross-functional teams to understand data requirements and challenges within business units. Communicate effectively with key stakeholders, providing insights and recommendations related to data governance. Business Process Analysis: Analyse and document existing business processes related to data generation, collection, and usage. Identify opportunities for process improvement to enhance data quality and efficiency. Data Documentation and Lineage: Contribute to the creation and maintenance of data documentation, including data lineage and business glossary. Assist in building and managing a comprehensive data catalogue to enhance organisational understanding of data assets. Continuous Improvement: Proactively identify areas for continuous improvement in data governance processes and practices. Work closely with the Head of Data Governance and other team members to implement best practices and refine data governance strategies Technical/Professional Qualifications/Requirements: Extensive experience in data analysis, data quality management and data management. Strong SQL skills for data analysis, route cause analysis and manipulation. Experience with data quality tools and technologies such as data profiling, cleansing, and matching tools. Strong analytical and problem-solving skills with a keen attention to detail and the ability to articulate complex data concepts to help colleagues and business partners understand data quality issues. Excellent communication and collaboration skills with the ability to work effectively across teams and departments, using knowledge gained to influence the strategic direction. Experience with data catalogue and lineage tools. Good understand of data management frameworks such as DCAM or DAMA and how they can be used to improve data quality Microsoft Azure stack and Databricks experience desirable Number of direct reports 1+ Geographic area of impact Global Size of budget N/a Key stakeholdersBusiness stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops
Head of Managed Security Services Salary - £110,000 - £150,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Managed Security Services - Cyber Security - Sales Enablement - Portfolio Growth - Revenue - Leadership - Strategic Role purpose: We are looking for a talented person who has the expertise to drive our Managed Security Services ambition. We are aiming to: retain and grow our Managed Security Service client base. increase the number of products and services available through our Managed Security Service offering. implement our pricing strategy consistently develop our key external strategic partnerships. Key Responsibilities: Lead the development, implementation and strategic enablement of our Managed Security Service provision globally. Develop strategic options for the future Managed Security Services propositions, ensuring resolution of critical issues and changes procedures arising from new/changes in services, customer demand, competitor insights and/or business requirements. Have commercial control of theMSS offering though: Working with legal to ensure we have robust client contracts Embedding governance of the day-to-day contractual and commercial management processes to be used on all engagements, that ensures the appropriate approvals, profitability and risks are achieved. Carrying out escalation and corrective actions when commercial terms fall short of standard terms. Building a long-term strategy for adhering to terms agreed via contract management tooling. Retaining and growing the MSS client base: Ensuring data-led metrics of the MSS growth and renewal profiling Working collaboratively with the wider sales and pre-sales team to design solutions and pitches that support client needs Embed the LRQA pricing model to our MSS offering, working with the wider sales team to develop their knowledge and skills Ensure that we embed and follow a robust sales process that enables accurate Real Time reporting of all opportunities and associated forecast Sales enablement: Owning and delivering our global sales onboarding and training programs and processes, using relevant mediums to fit the audience and content. Constantly re-evaluate training needs, conduct skills gap analyses, and develop learning paths to improve our sales execution and reduce ramp up time for new hires. Build internal processes, documents and battle sheets for quick and effective 'go to market' deployment of new service propositions in a way that drives collaboration between Sales, PreSales, Bid and Marketing Teams. Provide leadership on projects (ie, redesign initiatives, product implementations). Continually scan the external horizon to ensure competitiveness in our offering including providing regular reporting and updates on market trends, competitor benchmarking, thought leadership and competitive data. Key health & safety responsibilities: Assess the risks and work in a safe manner at all times, robustly implementing health and safety rules, instructions and systems and refuse to undertake work that compromises your safety or health. Report in a timely manner all incidents including near miss and safety observations (NMSO), accidents and injuries and raise any health and safety concerns with your line manager. Technical/Professional Qualifications/Requirements: Significant experience of cybersecurity within a global organisation is preferred Ability to quickly establish credibility and rapport with key stakeholders and work well in a highly collaborative environment. You will have a keen interest in developing market practices and trends, with focus on key risks and legislative considerations Demonstrated project management skills with ability to drive complex cross-functional projects end to end to completion and clearly articulate progress to senior leaders. Strong analytical skills, ability to use data analysis to proactively derive insights and support fact-based decision making. Be able to demonstrate strong communication skills to ensure understanding of complex concepts simply and clearly to senior stakeholders, with pro-active, problem solving, creative, agile, and operational skills. Has a growth mindset with the ability to successfully navigate complexity and understand what it takes to be successful in different contexts. Culturally sensitive, high integrity and values diversity. Self-motivated, passionate and an optimist who is a resilient and calm. Bachelor's degree or similar qualifications
07/05/2024
Full time
Head of Managed Security Services Salary - £110,000 - £150,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Managed Security Services - Cyber Security - Sales Enablement - Portfolio Growth - Revenue - Leadership - Strategic Role purpose: We are looking for a talented person who has the expertise to drive our Managed Security Services ambition. We are aiming to: retain and grow our Managed Security Service client base. increase the number of products and services available through our Managed Security Service offering. implement our pricing strategy consistently develop our key external strategic partnerships. Key Responsibilities: Lead the development, implementation and strategic enablement of our Managed Security Service provision globally. Develop strategic options for the future Managed Security Services propositions, ensuring resolution of critical issues and changes procedures arising from new/changes in services, customer demand, competitor insights and/or business requirements. Have commercial control of theMSS offering though: Working with legal to ensure we have robust client contracts Embedding governance of the day-to-day contractual and commercial management processes to be used on all engagements, that ensures the appropriate approvals, profitability and risks are achieved. Carrying out escalation and corrective actions when commercial terms fall short of standard terms. Building a long-term strategy for adhering to terms agreed via contract management tooling. Retaining and growing the MSS client base: Ensuring data-led metrics of the MSS growth and renewal profiling Working collaboratively with the wider sales and pre-sales team to design solutions and pitches that support client needs Embed the LRQA pricing model to our MSS offering, working with the wider sales team to develop their knowledge and skills Ensure that we embed and follow a robust sales process that enables accurate Real Time reporting of all opportunities and associated forecast Sales enablement: Owning and delivering our global sales onboarding and training programs and processes, using relevant mediums to fit the audience and content. Constantly re-evaluate training needs, conduct skills gap analyses, and develop learning paths to improve our sales execution and reduce ramp up time for new hires. Build internal processes, documents and battle sheets for quick and effective 'go to market' deployment of new service propositions in a way that drives collaboration between Sales, PreSales, Bid and Marketing Teams. Provide leadership on projects (ie, redesign initiatives, product implementations). Continually scan the external horizon to ensure competitiveness in our offering including providing regular reporting and updates on market trends, competitor benchmarking, thought leadership and competitive data. Key health & safety responsibilities: Assess the risks and work in a safe manner at all times, robustly implementing health and safety rules, instructions and systems and refuse to undertake work that compromises your safety or health. Report in a timely manner all incidents including near miss and safety observations (NMSO), accidents and injuries and raise any health and safety concerns with your line manager. Technical/Professional Qualifications/Requirements: Significant experience of cybersecurity within a global organisation is preferred Ability to quickly establish credibility and rapport with key stakeholders and work well in a highly collaborative environment. You will have a keen interest in developing market practices and trends, with focus on key risks and legislative considerations Demonstrated project management skills with ability to drive complex cross-functional projects end to end to completion and clearly articulate progress to senior leaders. Strong analytical skills, ability to use data analysis to proactively derive insights and support fact-based decision making. Be able to demonstrate strong communication skills to ensure understanding of complex concepts simply and clearly to senior stakeholders, with pro-active, problem solving, creative, agile, and operational skills. Has a growth mindset with the ability to successfully navigate complexity and understand what it takes to be successful in different contexts. Culturally sensitive, high integrity and values diversity. Self-motivated, passionate and an optimist who is a resilient and calm. Bachelor's degree or similar qualifications
Azure Head of Data Engineering Salary- £90,000 - £110,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Azure - Databricks - Data factory - Data Lakes - Synapse - Modelling - Agile Role purpose: We are actively seeking a dynamic professional to play a pivotal role in the organisation and contributing to the exciting digital transformation journey. Reporting directly to the Chief Data Officer, you will lead team of skilled data engineers to architect, build, and maintain a new data lakehouse solution and pipelines that drive our digital transformation initiatives and support business reporting requirements. You will be responsible for overseeing all aspects of data engineering, from strategy to implementing cutting-edge technologies like Microsoft and Databricks and will enjoy being hands-on. Collaborating with leaders in the business, Analytics, Data Governance, Data Science and AI, you will be instrumental in reshaping our data landscape. This role presents a unique chance to influence cultural change, foster collaboration, and lead the growth of a dedicated team. Key Responsibilities: Define and drive the data engineering strategy and technical roadmap in alignment with the company's digital transformation goals. Lead and mentor a team of data engineers to design, develop, and deploy data pipelines and solutions that meet business needs. Lead the development of the new solution with a small team, whilst being hands-on. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, Datamodelling, and data governance. Drive innovation by evaluating and implementing new tools, technologies, and processes to improve data engineering efficiency and effectiveness. Ensure data governance, security, privacy, and compliance with regulatory requirements in all data engineering activities. Create comprehensive documentation for ETL processes, data schemas and ensure documentation is up-to-date and accessible to relevant stakeholders. Technical/Professional Qualifications/Requirements: Significant Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI Extensive experience in data engineering and in a leadership or management position. Strong in delivering solutions, on time and within budget. Hands-on experience with Microsoft Azure services and Databricks for building and managing data solutions at scale. Proven track record of leading successful digital transformation initiatives involving data engineering and analytics. Strong background in data warehousing, data architecture, Datamodelling, integration, ETL/ELT processes Excellent leadership and communication skills with the ability to inspire and motivate teams. Experience working in Agile/Scrum environments Experience with DevOps practices and CI/CD pipelines Expert in SQL and good experience in Python Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Number of direct reports 5+ Geographic area of impact Global Size of budget N/a Key stakeholders Business stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops
07/05/2024
Full time
Azure Head of Data Engineering Salary- £90,000 - £110,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Azure - Databricks - Data factory - Data Lakes - Synapse - Modelling - Agile Role purpose: We are actively seeking a dynamic professional to play a pivotal role in the organisation and contributing to the exciting digital transformation journey. Reporting directly to the Chief Data Officer, you will lead team of skilled data engineers to architect, build, and maintain a new data lakehouse solution and pipelines that drive our digital transformation initiatives and support business reporting requirements. You will be responsible for overseeing all aspects of data engineering, from strategy to implementing cutting-edge technologies like Microsoft and Databricks and will enjoy being hands-on. Collaborating with leaders in the business, Analytics, Data Governance, Data Science and AI, you will be instrumental in reshaping our data landscape. This role presents a unique chance to influence cultural change, foster collaboration, and lead the growth of a dedicated team. Key Responsibilities: Define and drive the data engineering strategy and technical roadmap in alignment with the company's digital transformation goals. Lead and mentor a team of data engineers to design, develop, and deploy data pipelines and solutions that meet business needs. Lead the development of the new solution with a small team, whilst being hands-on. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, Datamodelling, and data governance. Drive innovation by evaluating and implementing new tools, technologies, and processes to improve data engineering efficiency and effectiveness. Ensure data governance, security, privacy, and compliance with regulatory requirements in all data engineering activities. Create comprehensive documentation for ETL processes, data schemas and ensure documentation is up-to-date and accessible to relevant stakeholders. Technical/Professional Qualifications/Requirements: Significant Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI Extensive experience in data engineering and in a leadership or management position. Strong in delivering solutions, on time and within budget. Hands-on experience with Microsoft Azure services and Databricks for building and managing data solutions at scale. Proven track record of leading successful digital transformation initiatives involving data engineering and analytics. Strong background in data warehousing, data architecture, Datamodelling, integration, ETL/ELT processes Excellent leadership and communication skills with the ability to inspire and motivate teams. Experience working in Agile/Scrum environments Experience with DevOps practices and CI/CD pipelines Expert in SQL and good experience in Python Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Number of direct reports 5+ Geographic area of impact Global Size of budget N/a Key stakeholders Business stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops
Lead Data Engineer - Azure Synapse/ADF/Kimball London (Hybrid) Our Financial Services client is looking for a Lead Data Engineer to drive the development of the Business Intelligence functions. This role entails close collaboration with Department Heads and divisional accountants across all sectors. Essential Skills: Experience managing a team as a Lead or Senior Data Engineer Proven BI development experience with Kimball methodology Commercial knowledge of Azure Data Factory (ADF) Azure Synapse experience Strong skills in Azure Blob Storage Financial Services industry - highly desirable This is a permanent opportunity, paying up to £100,000 - £110,000 per annum. Successful applicants will be contacted within 24 hours of applying. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website William Alexander Diversity & Inclusion Policy, actively promotes the principles of equality, diversity and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors and the public. We fully feel an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all and we approach recruitment for our clients with the same perspective and qualities. Lead Data Engineer - Azure Synapse/ADF/Kimball
07/05/2024
Full time
Lead Data Engineer - Azure Synapse/ADF/Kimball London (Hybrid) Our Financial Services client is looking for a Lead Data Engineer to drive the development of the Business Intelligence functions. This role entails close collaboration with Department Heads and divisional accountants across all sectors. Essential Skills: Experience managing a team as a Lead or Senior Data Engineer Proven BI development experience with Kimball methodology Commercial knowledge of Azure Data Factory (ADF) Azure Synapse experience Strong skills in Azure Blob Storage Financial Services industry - highly desirable This is a permanent opportunity, paying up to £100,000 - £110,000 per annum. Successful applicants will be contacted within 24 hours of applying. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website William Alexander Diversity & Inclusion Policy, actively promotes the principles of equality, diversity and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors and the public. We fully feel an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all and we approach recruitment for our clients with the same perspective and qualities. Lead Data Engineer - Azure Synapse/ADF/Kimball
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Endeavour Recruitment has an excellent permanent position for a Systems Administrator to join a dynamic team based in Winchester. Work environment: To work as a member of the IT Services team, working with and reporting to the Head and Assistant Head of IT Services to analyse, design, implement, maintain, and support IT infrastructure. The environment has an extensive wired and wireless network covering many buildings, consisting of more than 3000 PCs, laptops, Chromebooks and 120 Servers. PCs all run Windows, whilst the Servers run a mixture of VMware, Microsoft Server, and Linux OSs. Responsibilities: Analyse, design, implement, maintain, and support the IT infrastructure - including: Desktop and server applications Desktop and server endpoint security systems Desktop and server OS Deployment of desktops, physical and virtual Servers Network services, Firewall, Switches, wireless and network access control. Network storage and backup. Cloud services System and network analysis, vulnerability scanning, health monitoring and logging services. To act as higher-tier support to the team of IT Technicians, however excellent customer service skills are required as you will be supporting internal and external members. Work with the Head of IT Services to develop IT systems, policies, and good practice. Keep abreast of IT trends, and how they will impact the environment. Ensuring that tasks above are well documented and filed. Producing training materials for users as required. Be willing and able to carry out all the tasks expected of the IT technicians. Conforming to legal requirements, eg Data Protection Act, Abuse of Computers Act, and software licensing agreements, and encouraging other users to do the same. Undertaking training as required. Prioritising the safeguarding and participating in training on safeguarding matters. Contributing to the elimination of unlawful discrimination, harassment, and victimisation; advancing equality of opportunity and fostering good relations between people who share a protected characteristic and those who do not. Any other duties that may be reasonably required. Are you looking for a fun, varied role to grow within a great team? Please get in touch for further details!
03/05/2024
Full time
Endeavour Recruitment has an excellent permanent position for a Systems Administrator to join a dynamic team based in Winchester. Work environment: To work as a member of the IT Services team, working with and reporting to the Head and Assistant Head of IT Services to analyse, design, implement, maintain, and support IT infrastructure. The environment has an extensive wired and wireless network covering many buildings, consisting of more than 3000 PCs, laptops, Chromebooks and 120 Servers. PCs all run Windows, whilst the Servers run a mixture of VMware, Microsoft Server, and Linux OSs. Responsibilities: Analyse, design, implement, maintain, and support the IT infrastructure - including: Desktop and server applications Desktop and server endpoint security systems Desktop and server OS Deployment of desktops, physical and virtual Servers Network services, Firewall, Switches, wireless and network access control. Network storage and backup. Cloud services System and network analysis, vulnerability scanning, health monitoring and logging services. To act as higher-tier support to the team of IT Technicians, however excellent customer service skills are required as you will be supporting internal and external members. Work with the Head of IT Services to develop IT systems, policies, and good practice. Keep abreast of IT trends, and how they will impact the environment. Ensuring that tasks above are well documented and filed. Producing training materials for users as required. Be willing and able to carry out all the tasks expected of the IT technicians. Conforming to legal requirements, eg Data Protection Act, Abuse of Computers Act, and software licensing agreements, and encouraging other users to do the same. Undertaking training as required. Prioritising the safeguarding and participating in training on safeguarding matters. Contributing to the elimination of unlawful discrimination, harassment, and victimisation; advancing equality of opportunity and fostering good relations between people who share a protected characteristic and those who do not. Any other duties that may be reasonably required. Are you looking for a fun, varied role to grow within a great team? Please get in touch for further details!
Senior Document Controller Initial 12 month contract Leatherhead (Hybrid) £30 per hour. Umbrella. Advantage Resourcing are working in partnership with a large engineering organisation who are currently seeking a Document Controller to work on an offshore project Your responsibilities will include: Under broad direction, oversees and performs the full range of activities with associated with document management work on a Project. Coordinate execution of the document management plan and procedures. Collaborates within the department, and the Client and customer, to ensure work processes are aligned with project processes and contractual requirements. Ensure document management deliverables are understood and delivered to contract, quality, and schedule requirements. Ensures the correct implementation, utilization, maintenance and use of the Document Management processes, systems, tools eg, IPMS, Documentum, SharePoint etc. This role is to support client with their document management system and processes and to interface with engineering contractors. Skills Required: Communicate/liaison with Project Management & Team, Client and Sub-Contractors effectively and resolve problems & issues relating to documentation, information and associated data. Proficient in Engineering & Supplier Document distribution management. Define and develop Project Document reports and statistics. Work within an integrated, multi-location, Document Management team. Communicates regularly with Document Management employees in various global offices by use of briefing sessions to share knowledge, best practices and lessons learned. Production and update of Master Document Register. Manage development and update of Distribution Matrix Production and update of Supplier SDRL/SDLs within Project EDMS Operate Document Request for Release process. If you are a Senior Document Controller seeking a new opportunity, please apply now. Reference: 72884 Hafsa Akram
03/05/2024
Project-based
Senior Document Controller Initial 12 month contract Leatherhead (Hybrid) £30 per hour. Umbrella. Advantage Resourcing are working in partnership with a large engineering organisation who are currently seeking a Document Controller to work on an offshore project Your responsibilities will include: Under broad direction, oversees and performs the full range of activities with associated with document management work on a Project. Coordinate execution of the document management plan and procedures. Collaborates within the department, and the Client and customer, to ensure work processes are aligned with project processes and contractual requirements. Ensure document management deliverables are understood and delivered to contract, quality, and schedule requirements. Ensures the correct implementation, utilization, maintenance and use of the Document Management processes, systems, tools eg, IPMS, Documentum, SharePoint etc. This role is to support client with their document management system and processes and to interface with engineering contractors. Skills Required: Communicate/liaison with Project Management & Team, Client and Sub-Contractors effectively and resolve problems & issues relating to documentation, information and associated data. Proficient in Engineering & Supplier Document distribution management. Define and develop Project Document reports and statistics. Work within an integrated, multi-location, Document Management team. Communicates regularly with Document Management employees in various global offices by use of briefing sessions to share knowledge, best practices and lessons learned. Production and update of Master Document Register. Manage development and update of Distribution Matrix Production and update of Supplier SDRL/SDLs within Project EDMS Operate Document Request for Release process. If you are a Senior Document Controller seeking a new opportunity, please apply now. Reference: 72884 Hafsa Akram
Do you have a passion for search engine optimisation, customer management and a strong ability for driving organic traffic If so this may be a position below for you! We are partnered with a dynamic data driven company looking for talented SEO Professional. In this company you will play a vital role in developing and implementing winning SEO strategies for multiple client accounts of varying size. You will work across various elements of technical SEO, which include local SEO and E-commerce SEO using different tools but also be confident in your approach to manage and retain customers too. In this role you will be supported by a wider team of content/copy professionals and also working alongside the Paid Media team. The business is very proud of their teams and you will be joining a business constantly on the road to success. This will be a permanent full time role, with hybrid working role which is commutable from areas of the North West, such as St Helens, Liverpool, Wigan and Warrington. Day to day: Develop and execute comprehensive SEO strategies for a variety of clients across different industries. Conduct in-depth keyword research and competitive analysis to identify high-potential opportunities. Optimize website content, on-page elements, and technical SEO factors to improve search engine ranking. Build high-quality backlinks through effective link-building strategies. Monitor website traffic, analyse SEO performance metrics, and report on results to clients. Stay up-to-date with the latest SEO trends and algorithm updates. Collaborate with content creators, web developers, and other team members to ensure a holistic SEO approach. Identify and recommend SEO tools and software to streamline processes. Prepare proposals and presentations for potential clients. Manage relationships with key clients and new customers. What you'll bring: Experience as an SEO Executive/Manager or similar either agency side or inhouse. Proven track record of success in increasing organic website traffic and search engine rankings. Strong understanding of SEO best practices and principles, including on-page optimization, technical SEO, and link building. Expertise in tools which could include Ahrefs, SEMrush, Google Search Console, Screaming Frog, Majestic and Surfer SEO. Excellent writing and communication skills, with the ability to explain complex SEO concepts to customer base. Analytics skills and a data-driven approach to problem-solving. Excellent organisational skills and a meticulous attention to detail. Passion for the digital marketing industry and a willingness to stay ahead of the curve. Ability to work effectively within a team environment. Please apply using the link below to be considered for this role.
03/05/2024
Full time
Do you have a passion for search engine optimisation, customer management and a strong ability for driving organic traffic If so this may be a position below for you! We are partnered with a dynamic data driven company looking for talented SEO Professional. In this company you will play a vital role in developing and implementing winning SEO strategies for multiple client accounts of varying size. You will work across various elements of technical SEO, which include local SEO and E-commerce SEO using different tools but also be confident in your approach to manage and retain customers too. In this role you will be supported by a wider team of content/copy professionals and also working alongside the Paid Media team. The business is very proud of their teams and you will be joining a business constantly on the road to success. This will be a permanent full time role, with hybrid working role which is commutable from areas of the North West, such as St Helens, Liverpool, Wigan and Warrington. Day to day: Develop and execute comprehensive SEO strategies for a variety of clients across different industries. Conduct in-depth keyword research and competitive analysis to identify high-potential opportunities. Optimize website content, on-page elements, and technical SEO factors to improve search engine ranking. Build high-quality backlinks through effective link-building strategies. Monitor website traffic, analyse SEO performance metrics, and report on results to clients. Stay up-to-date with the latest SEO trends and algorithm updates. Collaborate with content creators, web developers, and other team members to ensure a holistic SEO approach. Identify and recommend SEO tools and software to streamline processes. Prepare proposals and presentations for potential clients. Manage relationships with key clients and new customers. What you'll bring: Experience as an SEO Executive/Manager or similar either agency side or inhouse. Proven track record of success in increasing organic website traffic and search engine rankings. Strong understanding of SEO best practices and principles, including on-page optimization, technical SEO, and link building. Expertise in tools which could include Ahrefs, SEMrush, Google Search Console, Screaming Frog, Majestic and Surfer SEO. Excellent writing and communication skills, with the ability to explain complex SEO concepts to customer base. Analytics skills and a data-driven approach to problem-solving. Excellent organisational skills and a meticulous attention to detail. Passion for the digital marketing industry and a willingness to stay ahead of the curve. Ability to work effectively within a team environment. Please apply using the link below to be considered for this role.
Robert Half are working with a growing business services organisation in the Bristol area as they continue to build their IT Service Operations function. The Role The Service Desk Manager has responsibility for the management of the IT Service Desk function which includes a desk-based Service Desk team, an Administrative Team and remote Field Service Engineers. The role is supported by Team Leaders who will manage the day-to-day workload of the Service Desk and Field Service Engineers. They are also responsible for the management of the IT Admin team who undertake a variety of admin tasks, including procurement and management of joiner/leaver tickets. The role reports into the incumbent Service Desk Manager within the IT Service team. The Service Desk Manager will ensure robust processes and procedures are in place for the efficient and consistent management of the incidents and service requests. They will develop and embed appropriate Key Performance Indicators (KPI's) to monitor individual and team performance. They will identify Service Improvement Plans (SIP's) to improve service where KPI's are not being achieved. They will produce regular reports for wider IT management to highlight performance of the team and progress against SIP's Day-to-day responsibilities: Ensure that incidents and requests are handled according to agreed procedures and ensure that suitable documentation is available for those providing support. Analyse processes, identify alternative solutions, and recommend new approaches. Help establish requirements for the implementation of changes in processes. Take responsibility for the definition, documentation and satisfactory completion of projects Communicate effectively, acting as a key liaison with practices, team members and colleagues Design and create structured documentation that deals with complex information and manage the configuration of documentation items and files Lead, manage and direct the team to support all aspects of the IT Support Service Drive performance, ensuring agreed SLAs and KPI's are defined, met, and reported on a regular basis. Identifying Service Improvement Plans where improvement is required. Ensure processes are in place for monitoring the quality of interactions with the Service Desk to enable effective performance management and customer satisfaction. Skills/Experience: At least 5 years' experience managing a Service Desk in a large organisation. Demonstrable experience in maturing a Service Desk function Experience with coaching and mentoring team members in different roles with differing skill levels. Ability to analyse and manipulate raw data and turn it into meaningful reports (eg Excel, PowerPivot, PowerBI) Knowledge and experience of the ITIL IT Service Management Framework Experience in the management and configuration of Service Management Toolsets (ZenDesk) Awareness of Information Security principles relevant to Service Desk and industry standard framework (ISO27001) Experience in writing business proposals (eg justification for additional headcount). Experience in budgetary process and procedure. Solid technical knowledge to understand the supported environment of IVC and provide effective leadership and direction for Service Desk team members as well as effective participation in relevant department meetings (eg Projects, Major Incident, Change Advisory Board etc). Network technologies (TCP/IP, DHCP, DNS, LAN, WAN and VPN technologies). Microsoft Operating Systems Email and other productivity tools such as MS Office 365, Office 2016, Office 2019, SharePoint Cloud technology awareness (Azure AD/AWS/SaaS etc.) Telephony solutions (VoIP, SIP, UCaaS) Security technology (eg MFA, Phishing, Anti-Virus etc.) Package: £55,000-£60,000 + bonus + hybrid working Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
03/05/2024
Full time
Robert Half are working with a growing business services organisation in the Bristol area as they continue to build their IT Service Operations function. The Role The Service Desk Manager has responsibility for the management of the IT Service Desk function which includes a desk-based Service Desk team, an Administrative Team and remote Field Service Engineers. The role is supported by Team Leaders who will manage the day-to-day workload of the Service Desk and Field Service Engineers. They are also responsible for the management of the IT Admin team who undertake a variety of admin tasks, including procurement and management of joiner/leaver tickets. The role reports into the incumbent Service Desk Manager within the IT Service team. The Service Desk Manager will ensure robust processes and procedures are in place for the efficient and consistent management of the incidents and service requests. They will develop and embed appropriate Key Performance Indicators (KPI's) to monitor individual and team performance. They will identify Service Improvement Plans (SIP's) to improve service where KPI's are not being achieved. They will produce regular reports for wider IT management to highlight performance of the team and progress against SIP's Day-to-day responsibilities: Ensure that incidents and requests are handled according to agreed procedures and ensure that suitable documentation is available for those providing support. Analyse processes, identify alternative solutions, and recommend new approaches. Help establish requirements for the implementation of changes in processes. Take responsibility for the definition, documentation and satisfactory completion of projects Communicate effectively, acting as a key liaison with practices, team members and colleagues Design and create structured documentation that deals with complex information and manage the configuration of documentation items and files Lead, manage and direct the team to support all aspects of the IT Support Service Drive performance, ensuring agreed SLAs and KPI's are defined, met, and reported on a regular basis. Identifying Service Improvement Plans where improvement is required. Ensure processes are in place for monitoring the quality of interactions with the Service Desk to enable effective performance management and customer satisfaction. Skills/Experience: At least 5 years' experience managing a Service Desk in a large organisation. Demonstrable experience in maturing a Service Desk function Experience with coaching and mentoring team members in different roles with differing skill levels. Ability to analyse and manipulate raw data and turn it into meaningful reports (eg Excel, PowerPivot, PowerBI) Knowledge and experience of the ITIL IT Service Management Framework Experience in the management and configuration of Service Management Toolsets (ZenDesk) Awareness of Information Security principles relevant to Service Desk and industry standard framework (ISO27001) Experience in writing business proposals (eg justification for additional headcount). Experience in budgetary process and procedure. Solid technical knowledge to understand the supported environment of IVC and provide effective leadership and direction for Service Desk team members as well as effective participation in relevant department meetings (eg Projects, Major Incident, Change Advisory Board etc). Network technologies (TCP/IP, DHCP, DNS, LAN, WAN and VPN technologies). Microsoft Operating Systems Email and other productivity tools such as MS Office 365, Office 2016, Office 2019, SharePoint Cloud technology awareness (Azure AD/AWS/SaaS etc.) Telephony solutions (VoIP, SIP, UCaaS) Security technology (eg MFA, Phishing, Anti-Virus etc.) Package: £55,000-£60,000 + bonus + hybrid working Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
We are heading up a recruitment drive for a global consultancy that require a Axiom Developer to join them on a major project that's based in Glasgow. Job Title - Axiom Developer Day Rate - £436 Location - Glasgow (2 days p/week) iR35 determination - Inside Duration - 6 months Role Details: Axiom Developer: 1. Work closely with stakeholders to understand business requirements and translate them into technical solutions using Axiom. 2. Design, develop, and implement Axiom solutions, including data models, reports, dashboards, and workflows. 3. Customize Axiom configurations to meet specific business needs and requirements. 4. Collaborate with cross-functional teams to integrate Axiom with other systems and applications. 5. Provide technical expertise and support for Axiom applications, including troubleshooting, debugging, and resolving issues. 6. Conduct performance tuning and optimization of Axiom applications to ensure scalability, reliability, and efficiency. 7. Develop and maintain documentation, including technical specifications, user guides, and best practices. 8. Stay updated on Axiom platform updates, new features, and industry trends to ensure continuous improvement and innovation. 9. Participate in code reviews, quality assurance processes, and testing activities to ensure the delivery of high-quality solutions. 10. Mentor junior team members and provide guidance on Axiom development best practices.
02/05/2024
Project-based
We are heading up a recruitment drive for a global consultancy that require a Axiom Developer to join them on a major project that's based in Glasgow. Job Title - Axiom Developer Day Rate - £436 Location - Glasgow (2 days p/week) iR35 determination - Inside Duration - 6 months Role Details: Axiom Developer: 1. Work closely with stakeholders to understand business requirements and translate them into technical solutions using Axiom. 2. Design, develop, and implement Axiom solutions, including data models, reports, dashboards, and workflows. 3. Customize Axiom configurations to meet specific business needs and requirements. 4. Collaborate with cross-functional teams to integrate Axiom with other systems and applications. 5. Provide technical expertise and support for Axiom applications, including troubleshooting, debugging, and resolving issues. 6. Conduct performance tuning and optimization of Axiom applications to ensure scalability, reliability, and efficiency. 7. Develop and maintain documentation, including technical specifications, user guides, and best practices. 8. Stay updated on Axiom platform updates, new features, and industry trends to ensure continuous improvement and innovation. 9. Participate in code reviews, quality assurance processes, and testing activities to ensure the delivery of high-quality solutions. 10. Mentor junior team members and provide guidance on Axiom development best practices.
Platform Engineering Lead About Us: Join a leading end-user (this is not a consulting/solutions role) driving innovation in application automation and DevOps. We are seeking a Platform Engineering Lead to spearhead their platform initiatives and shape the future of our technology landscape. Although a long-established, recognised brand this business are early in their transition to cloud and automation so there is a real opportunity to influence their technology roadmap! Role Overview: As a Platform Engineering Lead, you will leverage your expertise in platform engineering, integration and automation, particularly with Power Platform and Power Apps, to architect and implement cutting-edge solutions. You will lead a team of technical professionals, collaborate with stakeholders, and manage third-party suppliers to drive operational excellence and innovation. In time we expect this team to grow but in the short-term there will be elements of technical, hands-on work but mainly 3rd party supplier management. Experience Required: Extensive experience in platform engineering, with a focus on Power Platform and Power Apps. Development skills and experience with related technologies. Leadership capabilities with a track record of driving cross-functional initiatives. Experience in supplier management and stakeholder engagement. Passion for innovation and a proactive approach to technology adoption. Familiarity with low code and process automation platforms such as Power Platform & Nintex. General Duties & Responsibilities: Drive excellence through effective use of platforms and technologies. Understand and document business requirements, translating them into actionable plans. Collaborate with stakeholders to ensure alignment with business objectives. Coordinate internal and external resources for project execution. Develop and deliver training and support to enhance user experience. Maintain confidentiality with sensitive data/information. Support other team members during resource-intensive project phases. Specific Duties & Responsibilities: Lead technical changes and platform support for the engineering systems team. Manage Servers, databases, and resources required for platform delivery. Progress upgrades, maintenance work, and technical changes to platforms. If you're ready to take on an exciting challenge and drive innovation in platform engineering, we want to hear from you. Apply now to join our team and make a difference in our technology journey! Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
02/05/2024
Full time
Platform Engineering Lead About Us: Join a leading end-user (this is not a consulting/solutions role) driving innovation in application automation and DevOps. We are seeking a Platform Engineering Lead to spearhead their platform initiatives and shape the future of our technology landscape. Although a long-established, recognised brand this business are early in their transition to cloud and automation so there is a real opportunity to influence their technology roadmap! Role Overview: As a Platform Engineering Lead, you will leverage your expertise in platform engineering, integration and automation, particularly with Power Platform and Power Apps, to architect and implement cutting-edge solutions. You will lead a team of technical professionals, collaborate with stakeholders, and manage third-party suppliers to drive operational excellence and innovation. In time we expect this team to grow but in the short-term there will be elements of technical, hands-on work but mainly 3rd party supplier management. Experience Required: Extensive experience in platform engineering, with a focus on Power Platform and Power Apps. Development skills and experience with related technologies. Leadership capabilities with a track record of driving cross-functional initiatives. Experience in supplier management and stakeholder engagement. Passion for innovation and a proactive approach to technology adoption. Familiarity with low code and process automation platforms such as Power Platform & Nintex. General Duties & Responsibilities: Drive excellence through effective use of platforms and technologies. Understand and document business requirements, translating them into actionable plans. Collaborate with stakeholders to ensure alignment with business objectives. Coordinate internal and external resources for project execution. Develop and deliver training and support to enhance user experience. Maintain confidentiality with sensitive data/information. Support other team members during resource-intensive project phases. Specific Duties & Responsibilities: Lead technical changes and platform support for the engineering systems team. Manage Servers, databases, and resources required for platform delivery. Progress upgrades, maintenance work, and technical changes to platforms. If you're ready to take on an exciting challenge and drive innovation in platform engineering, we want to hear from you. Apply now to join our team and make a difference in our technology journey! Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Platform Engineering Lead About Us: Join a leading end-user (this is not a consulting/solutions role) driving innovation in application automation and DevOps. We are seeking a Platform Engineering Lead to spearhead their platform initiatives and shape the future of our technology landscape. Although a long-established, recognised brand this business are early in their transition to cloud and automation so there is a real opportunity to influence their technology road map! Role Overview: As a Platform Engineering Lead, you will leverage your expertise in platform engineering, integration and automation, particularly with Power Platform and Power Apps, to architect and implement cutting-edge solutions. You will lead a team of technical professionals, collaborate with stakeholders, and manage third-party suppliers to drive operational excellence and innovation. In time we expect this team to grow but in the short-term there will be elements of technical, hands-on work but mainly 3rd party supplier management. Experience Required: Extensive experience in platform engineering, with a focus on Power Platform and Power Apps. Development skills and experience with related technologies. Leadership capabilities with a track record of driving cross-functional initiatives. Experience in supplier management and stakeholder engagement. Passion for innovation and a proactive approach to technology adoption. Familiarity with low code and process automation platforms such as Power Platform & Nintex. General Duties & Responsibilities: Drive excellence through effective use of platforms and technologies. Understand and document business requirements, translating them into actionable plans. Collaborate with stakeholders to ensure alignment with business objectives. Coordinate internal and external resources for project execution. Develop and deliver training and support to enhance user experience. Maintain confidentiality with sensitive data/information. Support other team members during resource-intensive project phases. Specific Duties & Responsibilities: Lead technical changes and platform support for the engineering systems team. Manage Servers, databases, and resources required for platform delivery. Progress upgrades, maintenance work, and technical changes to platforms. If you're ready to take on an exciting challenge and drive innovation in platform engineering, we want to hear from you. Apply now to join our team and make a difference in our technology journey! Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
02/05/2024
Full time
Platform Engineering Lead About Us: Join a leading end-user (this is not a consulting/solutions role) driving innovation in application automation and DevOps. We are seeking a Platform Engineering Lead to spearhead their platform initiatives and shape the future of our technology landscape. Although a long-established, recognised brand this business are early in their transition to cloud and automation so there is a real opportunity to influence their technology road map! Role Overview: As a Platform Engineering Lead, you will leverage your expertise in platform engineering, integration and automation, particularly with Power Platform and Power Apps, to architect and implement cutting-edge solutions. You will lead a team of technical professionals, collaborate with stakeholders, and manage third-party suppliers to drive operational excellence and innovation. In time we expect this team to grow but in the short-term there will be elements of technical, hands-on work but mainly 3rd party supplier management. Experience Required: Extensive experience in platform engineering, with a focus on Power Platform and Power Apps. Development skills and experience with related technologies. Leadership capabilities with a track record of driving cross-functional initiatives. Experience in supplier management and stakeholder engagement. Passion for innovation and a proactive approach to technology adoption. Familiarity with low code and process automation platforms such as Power Platform & Nintex. General Duties & Responsibilities: Drive excellence through effective use of platforms and technologies. Understand and document business requirements, translating them into actionable plans. Collaborate with stakeholders to ensure alignment with business objectives. Coordinate internal and external resources for project execution. Develop and deliver training and support to enhance user experience. Maintain confidentiality with sensitive data/information. Support other team members during resource-intensive project phases. Specific Duties & Responsibilities: Lead technical changes and platform support for the engineering systems team. Manage Servers, databases, and resources required for platform delivery. Progress upgrades, maintenance work, and technical changes to platforms. If you're ready to take on an exciting challenge and drive innovation in platform engineering, we want to hear from you. Apply now to join our team and make a difference in our technology journey! Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.