DevOps Lead Marshall Wolfe is proud to be supporting a technology company in the search for an experienced and highly motivated DevOps Lead lives and breathes making a modern micro-services architecture 'sing' for our products and our customers. This is an exciting opportunity to join a fast-growing company that designs, builds and operates products and platforms on a global scale; liaising with both clients and in-house teams on an international scale. We are really looking for is someone with: A Minimum 7 years of experience in infrastructure engineering with a DevOps approach. A smart, humble, and empathetic engineer who loves creating and managing great DevOps environments. Proven experience designing, building and supporting Back End systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation. Architect and scale AWS infrastructure; manage EC2, EKS, S3, RDS, ELB, ECS. Deploy and manage Kafka for Real Time data processing. Proficient in Scripting, and Git and Git workflows. Implement and maintain CI/CD pipelines and repository management using GitLab. Development lead experience. and it would be useful if you brought some experience with: PostgresSQL Go Gitlab Kubernetes Cloudfare Hashicorp Fully remote working also available. Competitive salary.
20/05/2024
Full time
DevOps Lead Marshall Wolfe is proud to be supporting a technology company in the search for an experienced and highly motivated DevOps Lead lives and breathes making a modern micro-services architecture 'sing' for our products and our customers. This is an exciting opportunity to join a fast-growing company that designs, builds and operates products and platforms on a global scale; liaising with both clients and in-house teams on an international scale. We are really looking for is someone with: A Minimum 7 years of experience in infrastructure engineering with a DevOps approach. A smart, humble, and empathetic engineer who loves creating and managing great DevOps environments. Proven experience designing, building and supporting Back End systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation. Architect and scale AWS infrastructure; manage EC2, EKS, S3, RDS, ELB, ECS. Deploy and manage Kafka for Real Time data processing. Proficient in Scripting, and Git and Git workflows. Implement and maintain CI/CD pipelines and repository management using GitLab. Development lead experience. and it would be useful if you brought some experience with: PostgresSQL Go Gitlab Kubernetes Cloudfare Hashicorp Fully remote working also available. Competitive salary.
Principal Data Engineer Northwest Up to £76,000 VIQU are seeking Principal Data Engineer to join a leading social enterprise working to transform lives by developing and managing vibrant communities. They excel in placemaking, regeneration, development, investment, property management, and leisure services. With a dedicated team across numerous specialist subsidiaries, they create thriving environments and reinvest profits to enhance community projects, ensuring sustainable and flourishing communities. The successful Principal Data Engineer will be responsible for ensuring robust and compliant data processes on Google Cloud Platform. The key responsibilities of the role will include data ingestion, quality, modelling, transformation, security, and monitoring. The Principal Data Engineer will also be involved in automation, process improvement, mentoring engineers, setting coding standards, and optimising queries. The Principal Data Engineer will work in collaboration with the Principal Cloud Engineer and Data Architect, as it is key to designing reliable data pipelines and communicating solutions to both technical and non-technical stakeholders. Requirements of the Principal Data Engineer: - Minimum of 7 years in Data Engineering roles - Demonstrated leadership experience. - Over 3 years of hands-on experience with Google Cloud Platform (GCP) - Deep expertise in SQL and Data Lake/Warehouse solutions - Advanced skills in programming languages such as SQL, Python, Java, or Scala - Extensive knowledge of query optimisation techniques and a proven track record in refining complex SQL queries - Comprehensive understanding of Data Governance principles, including Data Dictionaries, Master Data Management (MDM), Data Lineage, Data Privacy laws, and Personal Identifiable Information (PII) management - Familiarity with Agile methodologies, Scrum framework, and the Software Development Life Cycle (SDLC) - Willing to undergo DBS Check To discuss this opportunity further, APPLY NOW for a confidential conversation with your VIQU Consultant. For additional information, contact Katie Dark at (see below). If you refer someone ideal for this role, VIQU offers an introduction fee up to £1,000 once your referral starts work with our client (terms apply). Principal Data Engineer Northwest Up to £76,000
20/05/2024
Full time
Principal Data Engineer Northwest Up to £76,000 VIQU are seeking Principal Data Engineer to join a leading social enterprise working to transform lives by developing and managing vibrant communities. They excel in placemaking, regeneration, development, investment, property management, and leisure services. With a dedicated team across numerous specialist subsidiaries, they create thriving environments and reinvest profits to enhance community projects, ensuring sustainable and flourishing communities. The successful Principal Data Engineer will be responsible for ensuring robust and compliant data processes on Google Cloud Platform. The key responsibilities of the role will include data ingestion, quality, modelling, transformation, security, and monitoring. The Principal Data Engineer will also be involved in automation, process improvement, mentoring engineers, setting coding standards, and optimising queries. The Principal Data Engineer will work in collaboration with the Principal Cloud Engineer and Data Architect, as it is key to designing reliable data pipelines and communicating solutions to both technical and non-technical stakeholders. Requirements of the Principal Data Engineer: - Minimum of 7 years in Data Engineering roles - Demonstrated leadership experience. - Over 3 years of hands-on experience with Google Cloud Platform (GCP) - Deep expertise in SQL and Data Lake/Warehouse solutions - Advanced skills in programming languages such as SQL, Python, Java, or Scala - Extensive knowledge of query optimisation techniques and a proven track record in refining complex SQL queries - Comprehensive understanding of Data Governance principles, including Data Dictionaries, Master Data Management (MDM), Data Lineage, Data Privacy laws, and Personal Identifiable Information (PII) management - Familiarity with Agile methodologies, Scrum framework, and the Software Development Life Cycle (SDLC) - Willing to undergo DBS Check To discuss this opportunity further, APPLY NOW for a confidential conversation with your VIQU Consultant. For additional information, contact Katie Dark at (see below). If you refer someone ideal for this role, VIQU offers an introduction fee up to £1,000 once your referral starts work with our client (terms apply). Principal Data Engineer Northwest Up to £76,000
Engineering Manager, Scrum Master UK, Remote, Circa £100k/annum + benefits Position Overview: This is a brand new role for our cutting edge Healthtech client. They are hiring for an Engineering Manager/Scrum Master to join and lead their software development efforts. The ideal candidate will have a strong background in software engineering, process design, iteration management, and agile methodologies, with experience in managing the transition of products from development to operations, including software release processes. Knowledge of cloud platforms, particularly AWS, is highly preferred. Ideally, you will come from a development background, but this is a not a hands-on development role. Responsibilities : Lead and manage a team of 9 software developers, ensuring high performance, collaboration, and continuous improvement. Implement and optimize agile methodologies (Scrum) to drive efficient and effective software development processes. Oversee the design, development, testing, and deployment of software solutions across multiple projects. Collaborate with product managers, designers, and other stakeholders to define project goals, timelines, and deliverables. Manage the transition of software products from engineering to operations, including release management and deployment strategies. Drive process design and iteration to improve team productivity, code quality, and delivery timelines. Mentor and coach team members to foster a culture of learning, innovation, and accountability. Stay updated with industry trends, best practices, and emerging technologies to guide technical decision-making and strategy. Requirements : Proven experience in software engineering and leading a team. Strong understanding of agile methodologies (Scrum, Kanban, etc.) and experience as a Scrum Master. Proficiency in software release processes, version control systems, and continuous integration/continuous deployment (CI/CD) pipelines. Experience managing software development teams across multiple projects or product lines. Familiarity with cloud platforms, preferably AWS, and experience with cloud-based architectures and services. Excellent communication skills, both written and verbal, with the ability to collaborate effectively with cross-functional teams. Strong analytical and problem-solving abilities, with a focus on driving results and meeting project deadlines. Sound like you? Apply with your CV today.
20/05/2024
Full time
Engineering Manager, Scrum Master UK, Remote, Circa £100k/annum + benefits Position Overview: This is a brand new role for our cutting edge Healthtech client. They are hiring for an Engineering Manager/Scrum Master to join and lead their software development efforts. The ideal candidate will have a strong background in software engineering, process design, iteration management, and agile methodologies, with experience in managing the transition of products from development to operations, including software release processes. Knowledge of cloud platforms, particularly AWS, is highly preferred. Ideally, you will come from a development background, but this is a not a hands-on development role. Responsibilities : Lead and manage a team of 9 software developers, ensuring high performance, collaboration, and continuous improvement. Implement and optimize agile methodologies (Scrum) to drive efficient and effective software development processes. Oversee the design, development, testing, and deployment of software solutions across multiple projects. Collaborate with product managers, designers, and other stakeholders to define project goals, timelines, and deliverables. Manage the transition of software products from engineering to operations, including release management and deployment strategies. Drive process design and iteration to improve team productivity, code quality, and delivery timelines. Mentor and coach team members to foster a culture of learning, innovation, and accountability. Stay updated with industry trends, best practices, and emerging technologies to guide technical decision-making and strategy. Requirements : Proven experience in software engineering and leading a team. Strong understanding of agile methodologies (Scrum, Kanban, etc.) and experience as a Scrum Master. Proficiency in software release processes, version control systems, and continuous integration/continuous deployment (CI/CD) pipelines. Experience managing software development teams across multiple projects or product lines. Familiarity with cloud platforms, preferably AWS, and experience with cloud-based architectures and services. Excellent communication skills, both written and verbal, with the ability to collaborate effectively with cross-functional teams. Strong analytical and problem-solving abilities, with a focus on driving results and meeting project deadlines. Sound like you? Apply with your CV today.
Embedded Software Developer - DV Cleared Salary: £70k - £90k Location: Romsey Clearance: DV Clearance required We are currently seeking a skilled and experienced Embedded Software Developer to join the team at a leading defence consultancy. You will have a strong background in Embedded software development, with expertise in C and/or C++ for Embedded development. As an Embedded Software Engineer, you will be responsible for designing, developing, and testing Embedded software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Key Responsibilities: Design, develop, and test Embedded software systems using C and/or C++ Collaborate with cross-functional teams to integrate software into systems Conduct unit and system testing to ensure software quality Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in Embedded software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in Embedded software development using C and/or C++ Expertise in Embedded Linux platform development Experience of modern DevOps practices, including version control and continuous integration Knowledge of latest System on Chip (SoC) devices Experience with unit and system testing Excellent problem-solving skills and attention to detail Strong communication and teamwork skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
20/05/2024
Full time
Embedded Software Developer - DV Cleared Salary: £70k - £90k Location: Romsey Clearance: DV Clearance required We are currently seeking a skilled and experienced Embedded Software Developer to join the team at a leading defence consultancy. You will have a strong background in Embedded software development, with expertise in C and/or C++ for Embedded development. As an Embedded Software Engineer, you will be responsible for designing, developing, and testing Embedded software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Key Responsibilities: Design, develop, and test Embedded software systems using C and/or C++ Collaborate with cross-functional teams to integrate software into systems Conduct unit and system testing to ensure software quality Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in Embedded software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in Embedded software development using C and/or C++ Expertise in Embedded Linux platform development Experience of modern DevOps practices, including version control and continuous integration Knowledge of latest System on Chip (SoC) devices Experience with unit and system testing Excellent problem-solving skills and attention to detail Strong communication and teamwork skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Woking Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
20/05/2024
Full time
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Woking Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Embedded Software Developer - DV Cleared Salary: £70k - £90k Location: Woking Clearance: DV Clearance required We are currently seeking a skilled and experienced Embedded Software Developer to join the team at a leading defence consultancy. You will have a strong background in Embedded software development, with expertise in C and/or C++ for Embedded development. As an Embedded Software Engineer, you will be responsible for designing, developing, and testing Embedded software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Key Responsibilities: Design, develop, and test Embedded software systems using C and/or C++ Collaborate with cross-functional teams to integrate software into systems Conduct unit and system testing to ensure software quality Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in Embedded software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in Embedded software development using C and/or C++ Expertise in Embedded Linux platform development Experience of modern DevOps practices, including version control and continuous integration Knowledge of latest System on Chip (SoC) devices Experience with unit and system testing Excellent problem-solving skills and attention to detail Strong communication and teamwork skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
20/05/2024
Full time
Embedded Software Developer - DV Cleared Salary: £70k - £90k Location: Woking Clearance: DV Clearance required We are currently seeking a skilled and experienced Embedded Software Developer to join the team at a leading defence consultancy. You will have a strong background in Embedded software development, with expertise in C and/or C++ for Embedded development. As an Embedded Software Engineer, you will be responsible for designing, developing, and testing Embedded software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Key Responsibilities: Design, develop, and test Embedded software systems using C and/or C++ Collaborate with cross-functional teams to integrate software into systems Conduct unit and system testing to ensure software quality Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in Embedded software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in Embedded software development using C and/or C++ Expertise in Embedded Linux platform development Experience of modern DevOps practices, including version control and continuous integration Knowledge of latest System on Chip (SoC) devices Experience with unit and system testing Excellent problem-solving skills and attention to detail Strong communication and teamwork skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
20/05/2024
Full time
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Your new company We are working with a successful company who now need to hire an experienced Head of Product Management to lead their innovative product team and facilitate the strategic vision and execution of their product portfolio. As the Head of Product Management, you will play a pivotal role in shaping the future of these companies' products, enhancing customer experiences, and contributing to growth and success. Reporting to the Chief Commercial Officer, this role requires significant experience in building and delivering product management processes to a wide range of internal and external stakeholders. Your new role Product Strategy and Vision: Facilitating the definition and communication of a compelling product vision and strategy for all products, services and my clients' platform, DXRX aligns with the company's overall goals and market trends. Lead the development of a comprehensive product and service roadmap that prioritises features and enhancements to deliver exceptional value to customers. Continuously analyse market trends, competitive landscape, and customer feedback to refine and evolve the product strategy. Team Leadership and Management: Build, mentor, and manage a high-performing team of product managers, fostering a collaborative and innovative culture. Product Development and Execution: Oversee the end-to-end product commercial life cycle, from concept to launch, while ensuring adherence to timelines, quality standards, and budget constraints. Collaborate closely with engineering, design, marketing, and other departments to deliver successful product releases. Make data-driven decisions, leveraging analytics and user insights to optimise product features and drive continuous improvement. Stakeholder Communication: It serves as the primary point of contact for senior leadership, providing regular updates on product strategy, milestones, and performance. Effectively communicate product updates, successes, and challenges to internal teams, external partners, and customers. Customer-Centric Focus: Champion a deep understanding of customer needs, behaviours, and pain points to inform product decisions and enhancements. Foster a customer-first mentality within the product team, ensuring that user feedback is consistently integrated into product iterations. Innovation and Market Awareness: Stay current with industry trends, emerging technologies, and best practices in product management to drive innovation and maintain a competitive edge. Identify new market opportunities and collaborate with cross-functional teams to explore potential product expansions or new offerings. What you'll need to succeed Education - bachelor's degree in business, engineering, or a related field; MBA or advanced degree preferred. Experience - minimum 5 years' experience in a similar Head of Product Management role ideally within the healthcare, pharma or diagnostic industry. Candidates with strong data or SaaS platforms and precision medicine experience are highly valued. Experience working as a data vendor in pharma would be preferable. Computer and software Knowledge and Skills - Proficient in Microsoft Office Suite, skilled user of Excel and PowerPoint. What you'll get in return They hire smart, fun people who care about our mission and about each other. Some interesting points about us: Competitive salary (and attractive bonus scheme dependent on role) Training and development opportunities Remote/Virtual Working Flexible Working incl. Flex Day Programme Share Incentive Plan Increase of Annual Leave with tenure Pension Healthcare (including Vision and Dental) and Additional Benefits eg Employee Assistance Programme Life Insurance Group Income Protection Enhanced Maternity and Sick Pay Provisions Robust Performance Management Framework and Individual Development Plan Generous Staff Referral Scheme Dedication to a positive working culture with regular health and wellbeing activities and annual company get together What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
20/05/2024
Full time
Your new company We are working with a successful company who now need to hire an experienced Head of Product Management to lead their innovative product team and facilitate the strategic vision and execution of their product portfolio. As the Head of Product Management, you will play a pivotal role in shaping the future of these companies' products, enhancing customer experiences, and contributing to growth and success. Reporting to the Chief Commercial Officer, this role requires significant experience in building and delivering product management processes to a wide range of internal and external stakeholders. Your new role Product Strategy and Vision: Facilitating the definition and communication of a compelling product vision and strategy for all products, services and my clients' platform, DXRX aligns with the company's overall goals and market trends. Lead the development of a comprehensive product and service roadmap that prioritises features and enhancements to deliver exceptional value to customers. Continuously analyse market trends, competitive landscape, and customer feedback to refine and evolve the product strategy. Team Leadership and Management: Build, mentor, and manage a high-performing team of product managers, fostering a collaborative and innovative culture. Product Development and Execution: Oversee the end-to-end product commercial life cycle, from concept to launch, while ensuring adherence to timelines, quality standards, and budget constraints. Collaborate closely with engineering, design, marketing, and other departments to deliver successful product releases. Make data-driven decisions, leveraging analytics and user insights to optimise product features and drive continuous improvement. Stakeholder Communication: It serves as the primary point of contact for senior leadership, providing regular updates on product strategy, milestones, and performance. Effectively communicate product updates, successes, and challenges to internal teams, external partners, and customers. Customer-Centric Focus: Champion a deep understanding of customer needs, behaviours, and pain points to inform product decisions and enhancements. Foster a customer-first mentality within the product team, ensuring that user feedback is consistently integrated into product iterations. Innovation and Market Awareness: Stay current with industry trends, emerging technologies, and best practices in product management to drive innovation and maintain a competitive edge. Identify new market opportunities and collaborate with cross-functional teams to explore potential product expansions or new offerings. What you'll need to succeed Education - bachelor's degree in business, engineering, or a related field; MBA or advanced degree preferred. Experience - minimum 5 years' experience in a similar Head of Product Management role ideally within the healthcare, pharma or diagnostic industry. Candidates with strong data or SaaS platforms and precision medicine experience are highly valued. Experience working as a data vendor in pharma would be preferable. Computer and software Knowledge and Skills - Proficient in Microsoft Office Suite, skilled user of Excel and PowerPoint. What you'll get in return They hire smart, fun people who care about our mission and about each other. Some interesting points about us: Competitive salary (and attractive bonus scheme dependent on role) Training and development opportunities Remote/Virtual Working Flexible Working incl. Flex Day Programme Share Incentive Plan Increase of Annual Leave with tenure Pension Healthcare (including Vision and Dental) and Additional Benefits eg Employee Assistance Programme Life Insurance Group Income Protection Enhanced Maternity and Sick Pay Provisions Robust Performance Management Framework and Individual Development Plan Generous Staff Referral Scheme Dedication to a positive working culture with regular health and wellbeing activities and annual company get together What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Our client a growing technology consultancy based in Suffolk, is recruiting the services of two Python Software Engineers on a permanent basis. This role would suit a mid-level developer looking to move into a more senior/team lead role, and another role which would suit a junior/mid-level developer. Candidates will ideally have several years' experience of coding in Python in a commercial environment. The role can be based remotely, although our client is based in Suffolk so occasional travel will be expected. The successful candidate will be required to help to develop test products, mentor junior team members, and also provide excellent technical support on an on-going basis. Key Skills Proven experience of software development using Python Being proactive and have the ability to debug and solve complex problems Ability to understand and break down project requirements Knowledge in software development methodologies such as Agile or iterative development Experience of Flask and Open API would be desirable Some networking knowledge/experience (IP, TCP/UDP, routing, Firewalls) preferred Please apply with your CV for more information on this opportunity.
20/05/2024
Full time
Our client a growing technology consultancy based in Suffolk, is recruiting the services of two Python Software Engineers on a permanent basis. This role would suit a mid-level developer looking to move into a more senior/team lead role, and another role which would suit a junior/mid-level developer. Candidates will ideally have several years' experience of coding in Python in a commercial environment. The role can be based remotely, although our client is based in Suffolk so occasional travel will be expected. The successful candidate will be required to help to develop test products, mentor junior team members, and also provide excellent technical support on an on-going basis. Key Skills Proven experience of software development using Python Being proactive and have the ability to debug and solve complex problems Ability to understand and break down project requirements Knowledge in software development methodologies such as Agile or iterative development Experience of Flask and Open API would be desirable Some networking knowledge/experience (IP, TCP/UDP, routing, Firewalls) preferred Please apply with your CV for more information on this opportunity.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Manager of Internal Audit and Information Security. Candidate will manage independent assessments of the Information Technology and Security environment, risk management, and other objectives as needed. The role is responsible for defining the proper scope, approach, and quality are integrated into each audit and that regulatory, operational, and strategic risks are sufficiently mitigated by Management. This role will also be required to present recommendations for improvements to the Internal Audit Leadership and finding owners. In addition, as a manager you will own the coaching of your direct reports, developing their skills and supporting their career development. Responsibilities: Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Leading audits related to organization changes including business requirements definitions, technology implementations (eg, changes to the supported business processes), engagement and alignment of change initiatives to business objectives. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating staff accordingly, to effectively identify potential risks and alternatives to mitigate risk exposure leveraging leading practices. Keeping current on leading practices and emerging risks within the financial services industry and making recommendations for improvements as necessary. Serving as a liaison with external parties and regulators to facilitate timely and efficient external reviews, knowledge transfer, and controls and process education. Supporting other department-wide activities such as but not limited to peer reviews of audit deliverables, policy and procedure development and refinement, etc. Lead and implement strategic initiatives related to new audit programs/processes, technology or other initiatives. Planning, leading and reporting for risk-based and special request audit assignments. Proactively identifying regulatory, operational, and/or strategic risks to the organization and deliver recommendations for improvements to senior leadership. Developing and maintaining effective relationships with business groups and leadership and partnering with management. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality and auditee experience. Qualifications: Ability to communicate clearly and effectively, both orally and in writing, including the ability to handle potentially sensitive situations and discussions. Strong problem solving and analytical capabilities. Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports. Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion. Experience working in a complex, fast paced environment. Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the International Standards for the Professional Practice of Internal Auditing published by the Institute of Internal Auditors (IIA). [Preferred] Consulting and/or accounting firm experience. [Preferred] Experience in Financial Services/Security Industry and working with regulations such as Regulation Systems Compliance and Integrity (Reg SCI). Technical Skills: [Required] Microsoft Office applications [Required] Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software [Required] Familiarity with security tools such as: CyberArk, Splunk, SailPoint [Required] Familiarity with change management tools such as: ServiceNow, Jira, Confluence, GitHub [Preferred] Familiarity with databases such as: Oracle, DB2, SQL [Preferred] Familiarity with cloud based solutions: AWS, Azure, Oracle Cloud, Workday Education and/or Experience: [Required] Bachelor's degree (or equivalent) in Information Technology, Computer Science, Computer Engineering, Accounting, Finance, Business Administration, or related field. [Required] 5+ years of experience (audit-related) in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Certificates or Licenses: [One of these required] Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certification in Risk Management Assurance (CRMA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Manager of Internal Audit and Information Security. Candidate will manage independent assessments of the Information Technology and Security environment, risk management, and other objectives as needed. The role is responsible for defining the proper scope, approach, and quality are integrated into each audit and that regulatory, operational, and strategic risks are sufficiently mitigated by Management. This role will also be required to present recommendations for improvements to the Internal Audit Leadership and finding owners. In addition, as a manager you will own the coaching of your direct reports, developing their skills and supporting their career development. Responsibilities: Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Leading audits related to organization changes including business requirements definitions, technology implementations (eg, changes to the supported business processes), engagement and alignment of change initiatives to business objectives. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating staff accordingly, to effectively identify potential risks and alternatives to mitigate risk exposure leveraging leading practices. Keeping current on leading practices and emerging risks within the financial services industry and making recommendations for improvements as necessary. Serving as a liaison with external parties and regulators to facilitate timely and efficient external reviews, knowledge transfer, and controls and process education. Supporting other department-wide activities such as but not limited to peer reviews of audit deliverables, policy and procedure development and refinement, etc. Lead and implement strategic initiatives related to new audit programs/processes, technology or other initiatives. Planning, leading and reporting for risk-based and special request audit assignments. Proactively identifying regulatory, operational, and/or strategic risks to the organization and deliver recommendations for improvements to senior leadership. Developing and maintaining effective relationships with business groups and leadership and partnering with management. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality and auditee experience. Qualifications: Ability to communicate clearly and effectively, both orally and in writing, including the ability to handle potentially sensitive situations and discussions. Strong problem solving and analytical capabilities. Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports. Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion. Experience working in a complex, fast paced environment. Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the International Standards for the Professional Practice of Internal Auditing published by the Institute of Internal Auditors (IIA). [Preferred] Consulting and/or accounting firm experience. [Preferred] Experience in Financial Services/Security Industry and working with regulations such as Regulation Systems Compliance and Integrity (Reg SCI). Technical Skills: [Required] Microsoft Office applications [Required] Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software [Required] Familiarity with security tools such as: CyberArk, Splunk, SailPoint [Required] Familiarity with change management tools such as: ServiceNow, Jira, Confluence, GitHub [Preferred] Familiarity with databases such as: Oracle, DB2, SQL [Preferred] Familiarity with cloud based solutions: AWS, Azure, Oracle Cloud, Workday Education and/or Experience: [Required] Bachelor's degree (or equivalent) in Information Technology, Computer Science, Computer Engineering, Accounting, Finance, Business Administration, or related field. [Required] 5+ years of experience (audit-related) in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Certificates or Licenses: [One of these required] Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certification in Risk Management Assurance (CRMA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Manager of Internal Audit and Information Security. Candidate will manage independent assessments of the Information Technology and Security environment, risk management, and other objectives as needed. The role is responsible for defining the proper scope, approach, and quality are integrated into each audit and that regulatory, operational, and strategic risks are sufficiently mitigated by Management. This role will also be required to present recommendations for improvements to the Internal Audit Leadership and finding owners. In addition, as a manager you will own the coaching of your direct reports, developing their skills and supporting their career development. Responsibilities: Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Leading audits related to organization changes including business requirements definitions, technology implementations (eg, changes to the supported business processes), engagement and alignment of change initiatives to business objectives. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating staff accordingly, to effectively identify potential risks and alternatives to mitigate risk exposure leveraging leading practices. Keeping current on leading practices and emerging risks within the financial services industry and making recommendations for improvements as necessary. Serving as a liaison with external parties and regulators to facilitate timely and efficient external reviews, knowledge transfer, and controls and process education. Supporting other department-wide activities such as but not limited to peer reviews of audit deliverables, policy and procedure development and refinement, etc. Lead and implement strategic initiatives related to new audit programs/processes, technology or other initiatives. Planning, leading and reporting for risk-based and special request audit assignments. Proactively identifying regulatory, operational, and/or strategic risks to the organization and deliver recommendations for improvements to senior leadership. Developing and maintaining effective relationships with business groups and leadership and partnering with management. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality and auditee experience. Qualifications: Ability to communicate clearly and effectively, both orally and in writing, including the ability to handle potentially sensitive situations and discussions. Strong problem solving and analytical capabilities. Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports. Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion. Experience working in a complex, fast paced environment. Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the International Standards for the Professional Practice of Internal Auditing published by the Institute of Internal Auditors (IIA). [Preferred] Consulting and/or accounting firm experience. [Preferred] Experience in Financial Services/Security Industry and working with regulations such as Regulation Systems Compliance and Integrity (Reg SCI). Technical Skills: [Required] Microsoft Office applications [Required] Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software [Required] Familiarity with security tools such as: CyberArk, Splunk, SailPoint [Required] Familiarity with change management tools such as: ServiceNow, Jira, Confluence, GitHub [Preferred] Familiarity with databases such as: Oracle, DB2, SQL [Preferred] Familiarity with cloud based solutions: AWS, Azure, Oracle Cloud, Workday Education and/or Experience: [Required] Bachelor's degree (or equivalent) in Information Technology, Computer Science, Computer Engineering, Accounting, Finance, Business Administration, or related field. [Required] 5+ years of experience (audit-related) in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Certificates or Licenses: [One of these required] Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certification in Risk Management Assurance (CRMA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Manager of Internal Audit and Information Security. Candidate will manage independent assessments of the Information Technology and Security environment, risk management, and other objectives as needed. The role is responsible for defining the proper scope, approach, and quality are integrated into each audit and that regulatory, operational, and strategic risks are sufficiently mitigated by Management. This role will also be required to present recommendations for improvements to the Internal Audit Leadership and finding owners. In addition, as a manager you will own the coaching of your direct reports, developing their skills and supporting their career development. Responsibilities: Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Leading audits related to organization changes including business requirements definitions, technology implementations (eg, changes to the supported business processes), engagement and alignment of change initiatives to business objectives. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating staff accordingly, to effectively identify potential risks and alternatives to mitigate risk exposure leveraging leading practices. Keeping current on leading practices and emerging risks within the financial services industry and making recommendations for improvements as necessary. Serving as a liaison with external parties and regulators to facilitate timely and efficient external reviews, knowledge transfer, and controls and process education. Supporting other department-wide activities such as but not limited to peer reviews of audit deliverables, policy and procedure development and refinement, etc. Lead and implement strategic initiatives related to new audit programs/processes, technology or other initiatives. Planning, leading and reporting for risk-based and special request audit assignments. Proactively identifying regulatory, operational, and/or strategic risks to the organization and deliver recommendations for improvements to senior leadership. Developing and maintaining effective relationships with business groups and leadership and partnering with management. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality and auditee experience. Qualifications: Ability to communicate clearly and effectively, both orally and in writing, including the ability to handle potentially sensitive situations and discussions. Strong problem solving and analytical capabilities. Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports. Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion. Experience working in a complex, fast paced environment. Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the International Standards for the Professional Practice of Internal Auditing published by the Institute of Internal Auditors (IIA). [Preferred] Consulting and/or accounting firm experience. [Preferred] Experience in Financial Services/Security Industry and working with regulations such as Regulation Systems Compliance and Integrity (Reg SCI). Technical Skills: [Required] Microsoft Office applications [Required] Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software [Required] Familiarity with security tools such as: CyberArk, Splunk, SailPoint [Required] Familiarity with change management tools such as: ServiceNow, Jira, Confluence, GitHub [Preferred] Familiarity with databases such as: Oracle, DB2, SQL [Preferred] Familiarity with cloud based solutions: AWS, Azure, Oracle Cloud, Workday Education and/or Experience: [Required] Bachelor's degree (or equivalent) in Information Technology, Computer Science, Computer Engineering, Accounting, Finance, Business Administration, or related field. [Required] 5+ years of experience (audit-related) in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Certificates or Licenses: [One of these required] Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certification in Risk Management Assurance (CRMA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.
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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
Manager, Internal Audit - IT/Security Salary: open + bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 5+ years of experience in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Microsoft Office applications Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. Security tools such as: CyberArk, Splunk, SailPoint Change management tools such as: ServiceNow, Jira, Confluence, GitHub Preferred Databases such as: Oracle, DB2, SQL Cloud-based solutions: AWS, Azure, Oracle Cloud, Workday Relevant Certifications Responsibilities Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality, and auditee experience.
17/05/2024
Full time
Manager, Internal Audit - IT/Security Salary: open + bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 5+ years of experience in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Microsoft Office applications Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. Security tools such as: CyberArk, Splunk, SailPoint Change management tools such as: ServiceNow, Jira, Confluence, GitHub Preferred Databases such as: Oracle, DB2, SQL Cloud-based solutions: AWS, Azure, Oracle Cloud, Workday Relevant Certifications Responsibilities Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality, and auditee experience.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Sr. .NET Product Engineer. This engineer will be doing full stack custom application development. They will work with .Net, C#, MVC, Javascript, jQuery, HTML 5, etc. Responsibilities: The Sr .NET Product Engineer I is responsible for delivering custom business solutions using the Microsoft technology stack. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Qualifications & Requirements A Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Technologies/Software Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture.
17/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Sr. .NET Product Engineer. This engineer will be doing full stack custom application development. They will work with .Net, C#, MVC, Javascript, jQuery, HTML 5, etc. Responsibilities: The Sr .NET Product Engineer I is responsible for delivering custom business solutions using the Microsoft technology stack. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Qualifications & Requirements A Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Technologies/Software Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture.
Manager, Internal Audit - IT/Security Salary: open + bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 5+ years of experience in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Microsoft Office applications Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. Security tools such as: CyberArk, Splunk, SailPoint Change management tools such as: ServiceNow, Jira, Confluence, GitHub Preferred Databases such as: Oracle, DB2, SQL Cloud-based solutions: AWS, Azure, Oracle Cloud, Workday Relevant Certifications Responsibilities Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality, and auditee experience.
17/05/2024
Full time
Manager, Internal Audit - IT/Security Salary: open + bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 5+ years of experience in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Microsoft Office applications Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. Security tools such as: CyberArk, Splunk, SailPoint Change management tools such as: ServiceNow, Jira, Confluence, GitHub Preferred Databases such as: Oracle, DB2, SQL Cloud-based solutions: AWS, Azure, Oracle Cloud, Workday Relevant Certifications Responsibilities Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality, and auditee experience.