We are seeking a highly skilled and experienced Predictive Analytics and Generative AI Manager to lead theadvanced analytics team at a Global manufacturing and supply chain company headquartered in Toronto, CA. In this role, you will be responsible for leveraging cutting-edge technologies in predictive analytics and generative AI to drive insights, innovation, and strategic decision-making across the organization. You will oversee the development and implementation of predictive models, algorithms, and AI-driven solutions to solve complex business challenges and enhance operational efficiency.
Detailed Description
1.
Strategy Development:
Develop and execute a comprehensive strategy for predictive analytics and generative AI initiativesaligned with business objectives.
Identify opportunities to apply predictive analytics and AI techniques to improve business processes andoutcomes.
2.
Team Leadership:
Manage a team of data scientists, machine learning engineers, and AI specialists.
Foster a culture of innovation, collaboration, and continuous learning within the team.
3.
Project Management:
Lead end-to-end project management for predictive analytics and AI projects, from conception todeployment and monitoring.
Ensure projects are delivered on time, within budget, and with high quality.
4.
Model Development and Implementation:
Design and develop advanced predictive models using machine learning techniques (e.g., regression,classification, clustering).
Implement generative AI algorithms for tasks such as natural language processing (NLP), imagerecognition, or anomaly detection.
5.
Data Management and Integration:
Oversee data collection, preprocessing, and integration from multiple sources to ensure data quality andreliability.
Collaborate with IT teams to deploy data pipelines and infrastructure necessary for analytics and AIsolutions.
6.
Performance Monitoring and Optimization:
Monitor the performance of predictive models and AI systems, and iterate on improvements to enhanceaccuracy and efficiency.
Conduct A/B testing and validation to validate model effectiveness and business impact.
7.
Stakeholder Engagement:
Collaborate closely with business stakeholders to understand requirements, communicate findings, andprovide actionable insights.
Present complex technical concepts and findings to non-technical audiences in a clear and compellingmanner.
Knowledge/Skills/Competencies
Strong proficiency in programming languages such as Python, R, or Java, and familiarity with data manipulationand visualization tools (e.g., Power BI).
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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Strong proficiency in programming languages such as Python, R, or Java, and familiarity with data manipulationand visualization tools (e.g., Power BI).
Deep understanding of machine learning algorithms, statistical modeling, and AI techniques.
Excellent project management skills with the ability to prioritize and manage multiple projects simultaneously.
Strong analytical and problem-solving skills, with a keen attention to detail and accuracy.
Effective communication skills and the ability to work collaboratively in a cross-functional team environment.
Proven experience (5+ years) in predictive analytics, machine learning, and AI, with at least 2 years in amanagerial or leadership role.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.