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Analytics and Machine Learning Director
Hub International Ltd
Chicago, IL, United States
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Candidate will be responsible for leading and coordinating multiple Reporting & Advanced Analytical projects in the Data & Analytics space; responsible for the requirements gathering, planning, controlling, development, rollout, maintenance and reporting of the projects, and for the management of Analytics & Machine Learning functions, and execution of the approved projects, and resource management. The candidate needs to have an expertise in Analytics & Machine Learning technologies to conduct productive communication with business users, provide project planning and tracking and total project management. This is a hands-on role and will expect the leader to lead from the front in designing the algorithms and working with Development for enterprise deployment and scalability. The individual must be able to develop excellent client relationships as well as having strong team building skills.
The Director - Analytics & Machine Learning serves as a point of escalation for Analytics & Machine Learning governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department.
Experience and Qualifications
• 10+ years of experience implementing Data & Analytics tools and capabilities
• 5+ years of experience implementing Machine Learning tools and capabilities
• Experience in participating in analysis sessions with the user community to capture, define Analytics & Machine Learning requirements clearly, completely and correctly
• Development of an enterprise wide Analytics & Machine Learning strategy
• Development of detailed project management plan and schedule
• Development and tracking of work breakdown structure, and capacity planning
• Monitoring progress in terms of scope, schedule and budget; monitoring accomplished vs. planned tasks
• This is a hands-on role and will expect the leader to lead from the front in designing the algorithms and working with Development for enterprise deployment and scalability
• Conducting Risk assessment and mitigation, issue escalation and resolution
• Performing Staff and/or Consultants planning and assignments
• Reporting Status, creating Project Management status report dashboards or scorecards
• Working closely with Architecture & Development, BI and Data Warehouse functional managers by building a strong rapport and guiding through the BI Applications process
• Understanding of Architecture & Development and MDM solutions: operational and analytical, knowledge of relational and multi-dimensional database architectures
• Building out an enterprise wide Analytics & Machine Learning strategy leverage existing tools i.e., Microsoft BI tools, SQL skills, R, Machine Learning, Python
• Worked with third party data enrichment services
• Experience in delivering quality work on time with multiple, competing priorities
• Experienced in working well with the cross functional team to meet project milestones, manage client satisfaction and mentor others on the team
Other qualifications
• 10 years of Business and/or IT experience.
• 10 years working on BI/DW/MDM projects.
• Strong exposure to AWS or Azure environment is required
• Strong background in project methodology (Waterfall, Agile, etc.).
• PMP certification is a plus, but not required.
• 8 years of experience in project management of small and medium teams
• Knowledge of database, data integration, and Data & Analytics / MDM products.
• Experience working with Microsoft`s BI Stack, SQL skills, R, Machine Learning, Python capabilities
• Outstanding communication and interpersonal skills.
• Ability to work independently and as part of a team
• Ability to execute effectively on the agreed upon decisions
• Excellent organizational skills with the ability to work effectively on multiple priorities with firm deliverable dates.
• Bachelor Degree in Information Systems or related discipline preferred
Responsibilities:
• Develop and gain support on the enterprise wide Analytics & Machine Learning Strategy
• Participate in analysis sessions with the user community to capture, define data requirements clearly, completely and correctly
• Define project scope, objectives and requirements and own the project plan, schedule, budget, resource management, vendor management, issues and risks.
• Manage the delivery of multiple projects concurrently that have moderate to high levels of business or technical complexity and risk, and that involve multiple business areas and owners.
• Manage dependencies and impacts with other teams and business functions.
• Be accountable to ensure project commitments and deliverables are met.
• Interact daily with development teams, QA, business analysts, functional managers, support teams, cross-functional business teams and global process owners to develop the overall program plans, schedules and ensure the smooth delivery of the business solution and all deliverables.