Hubbell - Shelton, CT

posted 2 months ago

Full-time - Mid Level
Shelton, CT
Electrical Equipment, Appliance, and Component Manufacturing

About the position

The Data Science & Insights Manager will partner with business champions and leadership teams across the enterprise to drive improved decision making through the use and interpretation of data. This position will focus on existing and new processes to drive analytical data science solutions to enhance business insights in the organization. The Data Insights & Analytics Manager will lead all key initiatives and integrate data to drive business performance. This position will be responsible for project management and hands-on delivery to increase data driven results across the organization. This role will be responsible for applying machine learning to applications to increase the use of advanced analytics and foster data driven results that cannot be recognized using traditional methodologies and toolsets. All delivered solutions will directly or indirectly drive cost saving measures, increased profitability, or cash flow enhancements for the organization. This role will include hands on development activities in Azure ML, Databricks, and/or MS Power Platform as well as leading, coaching, and mentoring other analytics professionals. A Day In The Life includes hands on development and/or leading of assigned resources to deliver solutions using cloud-based technologies such as Azure Data Lake, Azure Databricks, Azure ML, and Enterprise Data Models. The manager will lead collaboration between analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. They will partner with functional areas to ensure that reporting & analytics is driving insight that can be quantitatively measured and used with predictive analysis when applicable. The manager will lead project planning and resourcing activities and manage the execution of projects according to plan. They will recommend and integrate toolsets from vendors to provide seamless enterprise solutions regardless of the application. Proactively identifying changes in work scope and ensuring appropriate planning measures are taken with internal and external stakeholders to reassess and amend the scope of work, requirements, budget, and timeline is also a key responsibility. The manager will create and maintain comprehensive project documentation and establish and maintain relationships with third parties/vendors.

Responsibilities

  • Partner with business champions and leadership teams to drive improved decision making through data interpretation.
  • Focus on existing and new processes to drive analytical data science solutions.
  • Lead key initiatives and integrate data to drive business performance.
  • Manage project delivery to increase data-driven results across the organization.
  • Apply machine learning to applications to enhance advanced analytics.
  • Conduct hands-on development activities in Azure ML, Databricks, and/or MS Power Platform.
  • Lead collaboration between analytics and business teams to improve data models.
  • Ensure reporting & analytics drive measurable insights and predictive analysis.
  • Lead project planning and resourcing activities.
  • Recommend and integrate vendor toolsets for seamless enterprise solutions.
  • Proactively identify changes in work scope and manage project adjustments.
  • Create and maintain comprehensive project documentation.
  • Establish and maintain relationships with third parties/vendors.

Requirements

  • 4+ years of experience supporting Enterprise Applications using Data Science / Azure ML.
  • 4+ years of experience with Python and/or PySpark development.
  • 4+ years of experience with Microsoft Azure Platform.
  • 4+ years of experience with Azure Databricks, DevOps, Power Platform.
  • Experience building repeatable frameworks to support AI / ML applications.
  • SAP Functional knowledge (Required: SAP S4HANA, SAP RISE, SAP Finance).
  • Ability to effectively engage with stakeholders and translate requirements into integrated data models.
  • Strong analytical and troubleshooting skills.
  • Ability to work across diversified business and IT teams.
  • Experience in a customer service-oriented environment.
  • Extremely organized with strong time-management skills.
  • Strong written and oral communication skills.
  • Degree in Information Systems, Computer Science, Engineering, or equivalent.

Nice-to-haves

  • Certification in Azure Engineering or Azure ML desirable but not required.
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