IT Manager, Data Analytics

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For over 140 years our products have helped ensure the safe, reliable operations of key industries. With a passion for precision and partnership, Celeros Flow Technology continues this heritage of high performance and dependability, providing mission critical, sustainable flow control solutions for our customers around the globe.

Celeros Flow Technology is looking for individuals with a voice and a vision. We embrace change, diversity and promote new ways of looking at old ideas. We seek talented professionals to join our world-class team of innovators in a global, collaborative & multi-cultural environment, where you will be challenged, supported, and inspired to be extraordinary.

The IT Manager for Data Analytics is an IT professional who harnesses the power of data to develop new business models, improve productivity, and accelerate business results through data-based insights. This individual partners with business teams to document mapping tables, business rules, and business logic required to transform transactional data from various sources (including ERP systems) into analytical data of value.

The role also provides leadership in managing the analytics platform, ensuring data models, pipelines, and BI infrastructure are designed, governed, and operationally reliable. This includes the delivery of dashboards, scorecards, standard reports, ad hoc self-service reports, discovery and analysis, predictive analytics, and comprehensive visualizations.

• Establish strong, productive relationships with all stakeholders.
• Define and maintain the appropriate governance structure for Data and Analytics, including prioritization, sequencing of work, and effective resource allocation.
• Translate BI and analytics needs into clear requirements by conducting requirements-gathering sessions with key functions such as Finance, Product Management, Commercial, Engineering, Manufacturing Operations, and Supply Chain teams. This includes understanding key KPIs, identifying required data, and designing dashboards and reports that enable KPI analysis and improvement.
• Lead a team of approximately four technical professionals to deliver projects and support the company's data analytics and digital infrastructure and low-code platforms such as Power Apps.
• Manage the team's talent lifecycle, including hiring, retaining, developing, training, and mentoring technical staff.
• Lead deployment activities and implement strategy across ETL, MDM, data modelling, data transformation, and analytics reporting.
• Gather, analyze, and identify opportunities for enhancements; collaborate with business and technology partners to resolve issues and deliver continuous improvements.
• Design, implement, and deploy enterprise business solutions that support profitable growth and process maturity.
• Define engagement success criteria with business users, monitor progress, and ensure all deliverables meet expectations.
• Ensure data security, access control, and compliance with corporate policies for all analytics platforms, data models, dashboards, and data pipelines.
• Manage relationships with external vendors, consultants, and technology partners to ensure effective delivery, contract value, and alignment with the analytics roadmap.
• Design, support, and enhance the corporate data warehouse and associated data models.
• Identify and implement improvements to the existing BI infrastructure, including evaluating and adopting new technologies aligned with the long-term roadmap.
• Create documentation to help business users and IT team members effectively use the developed solutions.
• Deliver against the data strategy through the development and deployment of executive dashboards, operational dashboards, standard reports, ad hoc reports, discovery and analysis, and predictive analytics.
• Maintain and manage the Data & Analytics budget, ensuring alignment with priorities, cost efficiency, and optimal resource utilization.

• Leading multifunctional teams through coaching, mentoring, and influence.
• Building Customer Loyalty:
  Effectively meeting customer needs, building productive relationships, and ensuring customer satisfaction.
• Communication:
  Clearly and succinctly conveying information to individuals and groups in ways that drive understanding and action.
• Contributing to Team Success:
  Actively participating as a member of a team and supporting achievement of shared goals.
• Initiating Action:
  Taking prompt, proactive action to accomplish objectives.
• Managing Work:
  Effectively managing time and resources to ensure efficient completion of work.
• Planning & Organizing:
  Establishing plans and courses of action for self and others.
• Work Standards:
  Setting and upholding high standards of performance and accountability.
• High-level understanding of databases, data analytics technologies, ETL/ELT processes, and data visualization…