About Us:

Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world.

Job Description:

Director of Business Systems

Position Areas of Focus:

Systems Integration: responsible for evaluating and implementing the integration of various business systems and applications to enable seamless data flow and alignment across platforms. This role plays a critical part in ensuring data consistency, accuracy, and accessibility throughout the organization.

• Assess and analyze the organization's existing systems and applications, including HubSpot (CRM/Marketing Automation), Jira (Project Management), Zoho (CRM/Business Suite), and Microsoft Dynamics (Financial Reporting).
• Identify potential integration points and data exchange requirements between these systems.
• Collaborate with cross-functional teams to understand data requirements and integration needs.
• Implement and configure system integrations, ensuring secure and efficient data transfer between applications.

Data Strategy Development: Develop and implement a comprehensive data strategy aligned with the organization's goals and objectives.

• Identify and prioritize data sources, ensuring data quality, integrity, and accessibility.
• Define data governance policies and procedures to maintain data consistency and compliance.
• Acquire, process, and analyze large data sets from various sources to uncover valuable insights and trends.
• Employ advanced analytical techniques, such as statistical modeling, data mining, and machine learning, to extract meaningful patterns and correlations.

• Communicate findings and recommendations to stakeholders through compelling data visualizations and narratives.

Product Innovation: Leveraging data, collaborate with product teams, market research, and clients to understand market trends, client needs, and competitive landscape.

• Utilize data analysis to identify new product opportunities, feature enhancements, and potential areas for innovation.
• Contribute to the ideation and development of innovative products and services based on data-driven insights.

AI Integration: Assess current internal processes and workflows to identify opportunities for automation and efficiency gains through AI solutions.

• Evaluate and recommend AI technologies, such as robotic process automation (RPA), natural language processing (NLP), and machine learning (ML), to optimize repetitive tasks and decision-making processes.
• Collaborate with cross-functional teams to implement AI solutions, ensuring seamless integration and user adoption.

• Collaborate with consulting teams to integrate AI capabilities into service offerings, enabling data-driven insights and recommendations for clients.
• Provide training and support to employees and clients on the effective utilization of AI solutions, ensuring user adoption and successful implementation.
• Stay current with emerging AI trends, technologies, and best practices to continuously improve and innovate AI solution offerings.
• Foster collaboration and knowledge-sharing with cross-functional teams, subject matter experts, and stakeholders to identify AI use cases and requirements.

Skills and Qualifications:

The candidate for the position of Director of Business Systems must meet the following qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• Strong understanding of data integration concepts, techniques, and tools.
• Proficiency in SQL, ETL processes, and data manipulation languages.
• Experience with CRM, marketing automation, and project management systems (e.g., HubSpot, Jira, Zoho, Microsoft Dynamics).
• Knowledge of data governance, data quality, and data security best practices.
• Proven experience in data analysis, data mining, and statistical modeling.
• Proficiency in programming languages (e.g., Python, R) and data analysis tools (e.g., SQL, Tableau, Power BI).
• Strong understanding of AI technologies, including machine learning, natural language processing, computer vision, and robotics.
• Experience in data analysis, data mining, and programming (e.g., Python, R, SQL).
• Knowledge of AI development frameworks, tools, and platforms (e.g., TensorFlow, PyTorch, AWS AI/ML services).
• Knowledge of industry-specific domains and applications of AI (e.g., human resources, learning and development, consulting) is preferred.
• Excellent analytical, problem-solving, and project management skills.
• Strong communication and collaboration abilities.
• Ability to communicate complex data insights to both technical and non-technical audiences.

At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work—therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process.

Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify.

Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments.

Company:

Chapman & Co. Leadership Institute