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-caliber, 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 lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, 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 lifecycle 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-caliber, 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 lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, 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 lifecycle 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-caliber, 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 lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, 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 lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, 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 lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, 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 lifecycle 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-caliber, 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 lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, 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 lifecycle 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-caliber, 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 lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, 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 lifecycle 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.
OH Assessment Required for this role Enhanced DBS Required for this role The Deputy Director of Estates and Facilities is responsible for the strategic and operational management of the Trust's Estates and Facilities functions to support the delivery of high quality healthcare and for the development of services in accordance with the Trust's strategies and corporate objectives. The post holder provides strategic direction and advice on the estate ensuring that the built environment is safe for patients, visitors and staff, is fit for the future, is managed effectively and efficiently and adapts to changing healthcare needs. The Deputy Director of Estates and Facilities holds corporate and professional responsibility for estates and facilities service standards, governance, policies, financial management, statutory and regulatory compliance and risk management. The provision of assurance to the Trust Board and Trust Committees for the estate. Experience: Significant senior management experience in a large organisation in estates and facilities management Must be experienced NHS Director. Can demonstrate experience of managing major change and shaping the future and has strategic and budget setting. Has experience of effective partnership working with other organisations at a senior level, preferably a mix of public, private and voluntary sector. Experience of establishing effective financial control procedures. Strong commercial and contracts management experience to ensure robust financial, legal and risk management. Has experience of effective partnership working with other organisations at a senior level, preferably a mix of public, private and voluntary sector. Can demonstrate evidence of setting and achieving ambitious targets and of implementing innovative solutions designed to improve services within tight financial constraints. Skills and knowledge: Can evidence recent and on-going personal development action as well as planning. An understanding and broad knowledge of the whole NHS context including knowledge of the national agenda and the impact on the estate/Trust Technical, construction and project management skills Highly effective interpersonal skills to lead complex negotiations and build strategic comprehension - having the ability to understand long-term or widespread implications of decisions. Organisational Development - ensuring that organisational structures, processes, relationships and behaviours are healthy and effective. Ability to write and present complex information including the formation of business cases tender specifications and board reports and policies Personal qualities: Ability to lead a team and establish a culture of high performance, personal responsibility for quality of output, collaborative team-working and sharing of ideas, expertise and success Is able to set out a clear vision and associated priorities for the Estates and facilities directorate Championing and Embracing Change - being positive about change and removing obstacles, which stand in the way of progress. Understanding and others - the ability to relate to others and bring out the best in them. Demonstrates confidence and self-belief when under pressure. Demonstrates ability to self-manage workload and understands the complexity in order to operate effectively at a local, regional and national level. Education and qualifications Degree in relevant estates or facilities discipline Post-graduate qualification at doctorate( level 8) (doctorate or equivalent in relevant discipline) Chartered professional registration/accreditation in relevant discipline (eg RIBA, CIOB, RICS, CIBSE, etc.) Project management qualification or equivalent level of experience Evidence of CPD and leadership development If you are successful in securing this role, please note that for the entire duration of this contract, regardless of extension you will be working this role at the PAYE rate that has been advertised. For absolute clarity, we only work on a PAYE basis, rather than entertaining umbrella pay terms, we do not offer Ltd/umbrella or outside IR35 rates. If you wish to understand PAYE vs Umbrella more, please let us know and we can send you some additional information for clarity. Please note that clients invariably ask us to strip out contact details from CVs before we submit them for consideration. This is always quicker and easier to do if you send your CV to us in Word format, rather than as a PDF please If you are interested in this role, please email your CV back to (see below)
03/05/2024
Project-based
OH Assessment Required for this role Enhanced DBS Required for this role The Deputy Director of Estates and Facilities is responsible for the strategic and operational management of the Trust's Estates and Facilities functions to support the delivery of high quality healthcare and for the development of services in accordance with the Trust's strategies and corporate objectives. The post holder provides strategic direction and advice on the estate ensuring that the built environment is safe for patients, visitors and staff, is fit for the future, is managed effectively and efficiently and adapts to changing healthcare needs. The Deputy Director of Estates and Facilities holds corporate and professional responsibility for estates and facilities service standards, governance, policies, financial management, statutory and regulatory compliance and risk management. The provision of assurance to the Trust Board and Trust Committees for the estate. Experience: Significant senior management experience in a large organisation in estates and facilities management Must be experienced NHS Director. Can demonstrate experience of managing major change and shaping the future and has strategic and budget setting. Has experience of effective partnership working with other organisations at a senior level, preferably a mix of public, private and voluntary sector. Experience of establishing effective financial control procedures. Strong commercial and contracts management experience to ensure robust financial, legal and risk management. Has experience of effective partnership working with other organisations at a senior level, preferably a mix of public, private and voluntary sector. Can demonstrate evidence of setting and achieving ambitious targets and of implementing innovative solutions designed to improve services within tight financial constraints. Skills and knowledge: Can evidence recent and on-going personal development action as well as planning. An understanding and broad knowledge of the whole NHS context including knowledge of the national agenda and the impact on the estate/Trust Technical, construction and project management skills Highly effective interpersonal skills to lead complex negotiations and build strategic comprehension - having the ability to understand long-term or widespread implications of decisions. Organisational Development - ensuring that organisational structures, processes, relationships and behaviours are healthy and effective. Ability to write and present complex information including the formation of business cases tender specifications and board reports and policies Personal qualities: Ability to lead a team and establish a culture of high performance, personal responsibility for quality of output, collaborative team-working and sharing of ideas, expertise and success Is able to set out a clear vision and associated priorities for the Estates and facilities directorate Championing and Embracing Change - being positive about change and removing obstacles, which stand in the way of progress. Understanding and others - the ability to relate to others and bring out the best in them. Demonstrates confidence and self-belief when under pressure. Demonstrates ability to self-manage workload and understands the complexity in order to operate effectively at a local, regional and national level. Education and qualifications Degree in relevant estates or facilities discipline Post-graduate qualification at doctorate( level 8) (doctorate or equivalent in relevant discipline) Chartered professional registration/accreditation in relevant discipline (eg RIBA, CIOB, RICS, CIBSE, etc.) Project management qualification or equivalent level of experience Evidence of CPD and leadership development If you are successful in securing this role, please note that for the entire duration of this contract, regardless of extension you will be working this role at the PAYE rate that has been advertised. For absolute clarity, we only work on a PAYE basis, rather than entertaining umbrella pay terms, we do not offer Ltd/umbrella or outside IR35 rates. If you wish to understand PAYE vs Umbrella more, please let us know and we can send you some additional information for clarity. Please note that clients invariably ask us to strip out contact details from CVs before we submit them for consideration. This is always quicker and easier to do if you send your CV to us in Word format, rather than as a PDF please If you are interested in this role, please email your CV back to (see below)
Dynamics 365 CRM Consultant Hybrid/Remote working - UK Based Only Do you thrive in a fast-paced environment and enjoy utilising technology to solve complex business challenges? iO associates are searching for a motivated individual to join our expanding Microsoft Dynamics team. In this role, you'll leverage your Dynamics expertise to support a wider team in implementing technical solutions for our clients across various industries. What you'll do: Collaborate with consultants and business analysts to understand client requirements and translate them into technical specifications. Design, develop, and customise Dynamics modules to meet specific business needs. Create client-side scripts, plugins, and integrations to extend Dynamics functionality. Recognise opportunities to streamline processes, enhance performance, and innovate within the Dynamics development landscape. Design and implement data integration solutions between Dynamics and other systems using industry-standard tools. Utilise Dynamics 365's analytics capabilities to gain valuable insights into customer behaviour and trends. This includes utilising Power BI for data visualisation and analysis. Conduct thorough unit testing and participate in integration testing to ensure the functionality and performance of developed components. What you bring: In-depth knowledge of Dynamics 365 CE/CRM, with a solid understanding of the business context it addresses. Familiarity with complementary technologies like Azure, Power Platform, M365, and Active Directory. Strong problem-solving and analytical skills to identify and resolve complex issues. The ability to thrive in a collaborative, team-oriented environment. Understanding of data integration techniques and tools. A plus if you have: Knowledge of Dynamics platform architecture and its components. Experience designing and implementing workflows, business rules, and processes within Dynamics 365. Familiarity with Azure services and their integration with Dynamics 365. Experience with customising and configuring Dynamics 365 environments. A background in developing and deploying custom solutions using Dynamics 365. Experience migrating financial data from Legacy systems to Dynamics 365, ensuring data accuracy and compliance. Familiarity with the Power Platform (Power Apps, Power Automate, Power BI) to extend Dynamics 365 capabilities. Would you like to work within a collaborative and supportive environment that helps you grow and develop your career? Requirement: You must have the following visas/Right to work to be eligible for this position: British Citizen, ILR, Dependant Visa, Pre-settled status etc. You must be UK-based to apply for this role. *If you don't have the right to work in the UK or are not located in the UK, you will be automatically rejected from the process due to client requirement. Apply today!
03/05/2024
Full time
Dynamics 365 CRM Consultant Hybrid/Remote working - UK Based Only Do you thrive in a fast-paced environment and enjoy utilising technology to solve complex business challenges? iO associates are searching for a motivated individual to join our expanding Microsoft Dynamics team. In this role, you'll leverage your Dynamics expertise to support a wider team in implementing technical solutions for our clients across various industries. What you'll do: Collaborate with consultants and business analysts to understand client requirements and translate them into technical specifications. Design, develop, and customise Dynamics modules to meet specific business needs. Create client-side scripts, plugins, and integrations to extend Dynamics functionality. Recognise opportunities to streamline processes, enhance performance, and innovate within the Dynamics development landscape. Design and implement data integration solutions between Dynamics and other systems using industry-standard tools. Utilise Dynamics 365's analytics capabilities to gain valuable insights into customer behaviour and trends. This includes utilising Power BI for data visualisation and analysis. Conduct thorough unit testing and participate in integration testing to ensure the functionality and performance of developed components. What you bring: In-depth knowledge of Dynamics 365 CE/CRM, with a solid understanding of the business context it addresses. Familiarity with complementary technologies like Azure, Power Platform, M365, and Active Directory. Strong problem-solving and analytical skills to identify and resolve complex issues. The ability to thrive in a collaborative, team-oriented environment. Understanding of data integration techniques and tools. A plus if you have: Knowledge of Dynamics platform architecture and its components. Experience designing and implementing workflows, business rules, and processes within Dynamics 365. Familiarity with Azure services and their integration with Dynamics 365. Experience with customising and configuring Dynamics 365 environments. A background in developing and deploying custom solutions using Dynamics 365. Experience migrating financial data from Legacy systems to Dynamics 365, ensuring data accuracy and compliance. Familiarity with the Power Platform (Power Apps, Power Automate, Power BI) to extend Dynamics 365 capabilities. Would you like to work within a collaborative and supportive environment that helps you grow and develop your career? Requirement: You must have the following visas/Right to work to be eligible for this position: British Citizen, ILR, Dependant Visa, Pre-settled status etc. You must be UK-based to apply for this role. *If you don't have the right to work in the UK or are not located in the UK, you will be automatically rejected from the process due to client requirement. Apply today!
Modern Workplace Security Engineer Remote (travel required occasionally) £56,000 - £66,000 VIQU are seeking a Modern Workplace Security Engineer to join a multinational IT business that specialise in providing a broad spectrum of IT services and solutions, from IT consulting and system integrations to cloud services and E-commerce solutions. The successful Modern Workplace Security Engineer will be responsible for planning, designing, migrating, and securing Microsoft Cloud solutions for clients. Your main objective will revolve around grasping our clients' needs to adeptly craft and implement Modern Workplace and Microsoft security solutions, adhering to best practices. You will maintain collaboration and clear communication with all relevant stakeholders, as this will be pivotal in ensuring the delivery of top-notch solutions and services. The Modern Workplace Security Engineerwill possess a profound understanding of Microsoft Security & Modern Workplace technologies. Requirements of the Modern Workplace Security Engineer: - Demonstrated expertise in architecting and deploying client solutions within Microsoft Cloud Security and Modern Workplace. - Strong proficiency in Microsoft cloud services, particularly Azure and Microsoft 365. - Extensive knowledge of EMS technologies such as Microsoft Intune, Azure Active Directory, and Conditional Access. - Familiarity with mobile device and application management, as well as identity and access management principles. - Solid grasp of information protection and data security, including Azure Cloud Security. - Experience with security assessment methodologies and automation Scripting using PowerShell, Azure CLI, or similar tools. - Proficiency in utilising monitoring and logging tools like Azure Monitor, Log Analytics, and Application Insights. - Exceptional problem-solving skills, especially in troubleshooting complex issues. - Relevant Azure certifications (eg, Azure Administrator Associate, Azure Solutions Architect Expert, Azure Security Engineer Associate). - Excellent communication and collaboration abilities with both technical and non-technical stakeholders. - Strong commitment to continuous learning and self-improvement in cloud computing and security domains. 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). Modern Workplace Security Engineer Remote (travel required occasionally) £56,000 - £66,000
01/05/2024
Full time
Modern Workplace Security Engineer Remote (travel required occasionally) £56,000 - £66,000 VIQU are seeking a Modern Workplace Security Engineer to join a multinational IT business that specialise in providing a broad spectrum of IT services and solutions, from IT consulting and system integrations to cloud services and E-commerce solutions. The successful Modern Workplace Security Engineer will be responsible for planning, designing, migrating, and securing Microsoft Cloud solutions for clients. Your main objective will revolve around grasping our clients' needs to adeptly craft and implement Modern Workplace and Microsoft security solutions, adhering to best practices. You will maintain collaboration and clear communication with all relevant stakeholders, as this will be pivotal in ensuring the delivery of top-notch solutions and services. The Modern Workplace Security Engineerwill possess a profound understanding of Microsoft Security & Modern Workplace technologies. Requirements of the Modern Workplace Security Engineer: - Demonstrated expertise in architecting and deploying client solutions within Microsoft Cloud Security and Modern Workplace. - Strong proficiency in Microsoft cloud services, particularly Azure and Microsoft 365. - Extensive knowledge of EMS technologies such as Microsoft Intune, Azure Active Directory, and Conditional Access. - Familiarity with mobile device and application management, as well as identity and access management principles. - Solid grasp of information protection and data security, including Azure Cloud Security. - Experience with security assessment methodologies and automation Scripting using PowerShell, Azure CLI, or similar tools. - Proficiency in utilising monitoring and logging tools like Azure Monitor, Log Analytics, and Application Insights. - Exceptional problem-solving skills, especially in troubleshooting complex issues. - Relevant Azure certifications (eg, Azure Administrator Associate, Azure Solutions Architect Expert, Azure Security Engineer Associate). - Excellent communication and collaboration abilities with both technical and non-technical stakeholders. - Strong commitment to continuous learning and self-improvement in cloud computing and security domains. 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). Modern Workplace Security Engineer Remote (travel required occasionally) £56,000 - £66,000
Kalcor Coatings Company is seeking a CHEMIST for its location in Willoughby, OH. Started in 1961, Kalcor Coatings Company is A Right Size Company designing and manufacturing customized coatings and paint products to meet our customers' specific needs. Our primary goal is to be a successful developer/producer/marketer of high-performance coatings with a deserved reputation for integrity, responsibility, and competence in its treatment of employees, customers, suppliers, community and the public at large. Responsibilities Reporting to the Technical Director, this position has the following responsibilities: Perform specialized and advanced analyses, testing, and formulation of new and existing coating products and requirements. Perform small batch/sample manufacture, color matching, and testing. Assist in developing and specifying processes for coatings scale-up and manufacture. Evaluate new and existing raw materials for product improvement, availability, and/or cost benefits. Prepare reports and documents detailing project design, results, and conclusions; recommend additional actions or research. Support existing product lines via internal and external customer interaction, including technical service visits. Coordinate all regulatory and related environmental activities for Kalcor products and facility compliance in conjunction with the Technical Director. Perform daily housekeeping of laboratory and associated areas, functioning within safety guidelines. Qualifications Bachelor's degree in chemistry or a technical discipline (science or engineering). 5+ years of experience in a paint, coatings, or chemical laboratory, including formulation experience. Will consider a combination of experience and education. Broad range of formulation experience, including UV, waterborne, and solvent borne. Experience with 2K component a plus. Familiarity with design of experiment approach (DOE) and the ability to design, document, report, interpret and present findings as well as design follow-up experiments. Strong written and oral communication skills, including the ability to effectively present information to a variety of people (ie customers, public groups, top management, and boards of directors). Ability to operate, maintain, and calibrate a variety of specialized test and lab equipment, including color spectrophotometer. Working knowledge of MS Office (Word, Excel, PowerPoint, Outlook) and prior experience with formulation/processing software, color analysis and matching programs, or willingness and ability to learn. Exceptional mathematical, problem solving, documentation and organizational skills. Strong attention to detail and accuracy. Willingness and ability to travel to customer locations as needed. Valid driver's license and ability to be insured through the company's insurer. Candidates must be able to pass a color test, regularly lift and/or move up to 60 pounds, wear a fitted respirator and dust mask, and tolerate solvent odors and other chemicals used within the facility. Kalcor is a smoke-free, tobacco-free and vaping-free facility. If you are looking for a work environment that expects high quality work, professional conduct and respectful consideration for customers and coworkers alike, and you possess the skills and competencies for the Chemist position, we would like to hear from you! Equal Opportunity Employer
30/04/2024
Full time
Kalcor Coatings Company is seeking a CHEMIST for its location in Willoughby, OH. Started in 1961, Kalcor Coatings Company is A Right Size Company designing and manufacturing customized coatings and paint products to meet our customers' specific needs. Our primary goal is to be a successful developer/producer/marketer of high-performance coatings with a deserved reputation for integrity, responsibility, and competence in its treatment of employees, customers, suppliers, community and the public at large. Responsibilities Reporting to the Technical Director, this position has the following responsibilities: Perform specialized and advanced analyses, testing, and formulation of new and existing coating products and requirements. Perform small batch/sample manufacture, color matching, and testing. Assist in developing and specifying processes for coatings scale-up and manufacture. Evaluate new and existing raw materials for product improvement, availability, and/or cost benefits. Prepare reports and documents detailing project design, results, and conclusions; recommend additional actions or research. Support existing product lines via internal and external customer interaction, including technical service visits. Coordinate all regulatory and related environmental activities for Kalcor products and facility compliance in conjunction with the Technical Director. Perform daily housekeeping of laboratory and associated areas, functioning within safety guidelines. Qualifications Bachelor's degree in chemistry or a technical discipline (science or engineering). 5+ years of experience in a paint, coatings, or chemical laboratory, including formulation experience. Will consider a combination of experience and education. Broad range of formulation experience, including UV, waterborne, and solvent borne. Experience with 2K component a plus. Familiarity with design of experiment approach (DOE) and the ability to design, document, report, interpret and present findings as well as design follow-up experiments. Strong written and oral communication skills, including the ability to effectively present information to a variety of people (ie customers, public groups, top management, and boards of directors). Ability to operate, maintain, and calibrate a variety of specialized test and lab equipment, including color spectrophotometer. Working knowledge of MS Office (Word, Excel, PowerPoint, Outlook) and prior experience with formulation/processing software, color analysis and matching programs, or willingness and ability to learn. Exceptional mathematical, problem solving, documentation and organizational skills. Strong attention to detail and accuracy. Willingness and ability to travel to customer locations as needed. Valid driver's license and ability to be insured through the company's insurer. Candidates must be able to pass a color test, regularly lift and/or move up to 60 pounds, wear a fitted respirator and dust mask, and tolerate solvent odors and other chemicals used within the facility. Kalcor is a smoke-free, tobacco-free and vaping-free facility. If you are looking for a work environment that expects high quality work, professional conduct and respectful consideration for customers and coworkers alike, and you possess the skills and competencies for the Chemist position, we would like to hear from you! Equal Opportunity Employer
*This position will be working on site* Our client in the on the east side of Cleveland is looking for a Desktop Support Analyst. This is a 6+ month contract position. The qualified candidate will be: Responsible for providing various IT support functions and will work directly with employees to set up new PC's and assist with support desk ticket resolution. Customer service mindset. Excellent problem-solving ability. Strong interpersonal, verbal, and written communication skills. Ability and discipline to follow standards, procedures, checklists, and design documents. Detail oriented with the ability to work independently/self-starter. Strong prioritization and time management skills Experienced to expert knowledge of the support process for the main technologies in our environment, including Windows 10, Office 365, Active Directory, PC/Laptop hardware, mobile devices, PC imaging. Some server experience with installation, patching, and troubleshooting. We are looking for someone that is looking to grow in the company and enjoys technology. If qualified and interested, please submit a resume and rate expectations using the link below. Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply. Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles. Learn more about Beacon Hill Staffing Group and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting our website. We look forward to working with you. Beacon Hill. Employing the Future
16/04/2024
Project-based
*This position will be working on site* Our client in the on the east side of Cleveland is looking for a Desktop Support Analyst. This is a 6+ month contract position. The qualified candidate will be: Responsible for providing various IT support functions and will work directly with employees to set up new PC's and assist with support desk ticket resolution. Customer service mindset. Excellent problem-solving ability. Strong interpersonal, verbal, and written communication skills. Ability and discipline to follow standards, procedures, checklists, and design documents. Detail oriented with the ability to work independently/self-starter. Strong prioritization and time management skills Experienced to expert knowledge of the support process for the main technologies in our environment, including Windows 10, Office 365, Active Directory, PC/Laptop hardware, mobile devices, PC imaging. Some server experience with installation, patching, and troubleshooting. We are looking for someone that is looking to grow in the company and enjoys technology. If qualified and interested, please submit a resume and rate expectations using the link below. Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply. Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles. Learn more about Beacon Hill Staffing Group and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting our website. We look forward to working with you. Beacon Hill. Employing the Future
Job Title: Senior BIM Manager Location: Birmingham, UK Business Unit: Scruffy Dog UK Reports to: Director of Project Management Key Purpose of the Job (Position Summary) A Senior BIM Manager is responsible for overseeing all aspects of the BIM process throughout the project lifecycle, ensuring compliance with ISO 19650 standards as well as UK BIM Standards. And to work collaboratively with architects, engineers, sub consultants, Manufacturing, Production and other project stakeholders to achieve optimal project outcomes through effective BIM implementation. The role involves utilizing BIM software and methodologies to enhance project collaboration, efficiency, and accuracy. Key Responsibilities Develop and implement BIM execution plans BEP for projects and empower the team throughout implementation phase. Develop, implement, and maintain BIM standards, protocols, and workflows aligned with ISO 19650 requirements. Lead the creation and management of 3D models and associated BIM data. Foster collaboration and communication among project stakeholders to ensure accurate, timely, and coordinated BIM deliverables. Conduct and oversee BIM quality control and quality assurance (QC/QA) processes. Stay current with the latest BIM technologies and best practices. Define BIM standards, protocols, and workflows for the project team. Collaborate with project stakeholders to ensure BIM requirements are understood and met. Select, configure, and manage BIM software tools that align with project goals. Provide technical support and training to project team members on BIM software. Coordinate multidisciplinary design and construction teams through BIM collaboration. Manage and maintain the integrity of the project's BIM models and data. Oversee the integration of BIM data with other project management and analysis tools. Manage the flow of information between various project stakeholders through BIM. Ensure accurate and consistent data exchange between different phases of the project lifecycle. Perform regular reviews of BIM models to ensure compliance with project standards. Verify that models accurately represent the design intent and meet project requirements. Implement quality control processes to maintain data accuracy and consistency. Monitor project performance metrics related to BIM implementation and efficiency. Identify potential BIM-related risks and develop mitigation strategies. Ensure compliance with industry standards, codes, and regulations in BIM processes. Problem-solving skills and a proactive approach. Ability to manage multiple tasks and prioritize effectively. Strong communication, interpersonal, and collaboration skills. Excellent understanding of construction processes and building information modeling principles. Key Skills / Experience Required Educational Qualification Bachelor's or Master's degree in Architecture, Engineering, BIM or related Fields. Additional Qualifications / certifications RIBA Certification Computer skills ( Revit, Navisworks dynamo , Excel, Word, Outlook, Photoshop). Prior experience A minimum of 10 years experience in in the construction industry, Experience in the themed entertainment industry In-depth knowledge of ISO 19650 standards and their application in BIM workflows. Proven past experience in Mega BIM Project. Other skills (preferred) BEP creation BIM Software Information Management Industry Standards ISO 19650 Clash Detection Technical Drafting Autodesk Revit Autodesk AutoCAD BIM 360 / Autodesk Construction Cloud Navisworks Project Management SketchUp Enscape Rhinoceros Bluebeam Microsoft Office Suite Theme Parks Building and Structures Thematic Facade
08/04/2024
Full time
Job Title: Senior BIM Manager Location: Birmingham, UK Business Unit: Scruffy Dog UK Reports to: Director of Project Management Key Purpose of the Job (Position Summary) A Senior BIM Manager is responsible for overseeing all aspects of the BIM process throughout the project lifecycle, ensuring compliance with ISO 19650 standards as well as UK BIM Standards. And to work collaboratively with architects, engineers, sub consultants, Manufacturing, Production and other project stakeholders to achieve optimal project outcomes through effective BIM implementation. The role involves utilizing BIM software and methodologies to enhance project collaboration, efficiency, and accuracy. Key Responsibilities Develop and implement BIM execution plans BEP for projects and empower the team throughout implementation phase. Develop, implement, and maintain BIM standards, protocols, and workflows aligned with ISO 19650 requirements. Lead the creation and management of 3D models and associated BIM data. Foster collaboration and communication among project stakeholders to ensure accurate, timely, and coordinated BIM deliverables. Conduct and oversee BIM quality control and quality assurance (QC/QA) processes. Stay current with the latest BIM technologies and best practices. Define BIM standards, protocols, and workflows for the project team. Collaborate with project stakeholders to ensure BIM requirements are understood and met. Select, configure, and manage BIM software tools that align with project goals. Provide technical support and training to project team members on BIM software. Coordinate multidisciplinary design and construction teams through BIM collaboration. Manage and maintain the integrity of the project's BIM models and data. Oversee the integration of BIM data with other project management and analysis tools. Manage the flow of information between various project stakeholders through BIM. Ensure accurate and consistent data exchange between different phases of the project lifecycle. Perform regular reviews of BIM models to ensure compliance with project standards. Verify that models accurately represent the design intent and meet project requirements. Implement quality control processes to maintain data accuracy and consistency. Monitor project performance metrics related to BIM implementation and efficiency. Identify potential BIM-related risks and develop mitigation strategies. Ensure compliance with industry standards, codes, and regulations in BIM processes. Problem-solving skills and a proactive approach. Ability to manage multiple tasks and prioritize effectively. Strong communication, interpersonal, and collaboration skills. Excellent understanding of construction processes and building information modeling principles. Key Skills / Experience Required Educational Qualification Bachelor's or Master's degree in Architecture, Engineering, BIM or related Fields. Additional Qualifications / certifications RIBA Certification Computer skills ( Revit, Navisworks dynamo , Excel, Word, Outlook, Photoshop). Prior experience A minimum of 10 years experience in in the construction industry, Experience in the themed entertainment industry In-depth knowledge of ISO 19650 standards and their application in BIM workflows. Proven past experience in Mega BIM Project. Other skills (preferred) BEP creation BIM Software Information Management Industry Standards ISO 19650 Clash Detection Technical Drafting Autodesk Revit Autodesk AutoCAD BIM 360 / Autodesk Construction Cloud Navisworks Project Management SketchUp Enscape Rhinoceros Bluebeam Microsoft Office Suite Theme Parks Building and Structures Thematic Facade