Digital Transformation Engineer

4 weeks ago


miami, United States MSH Full time

Job Summary:

The Digital Data Transformation Lead is responsible for driving the technical design solutions and enhancements for our reporting and planning teams. This role combines strategic planning with hands-on implementation across various aspects of digital transformation within financial planning, emphasizing both technical expertise and leadership in change management and process improvement.


Key Responsibilities:

  • Develop and drive overall digital transformation products, projects, strategies, and roadmaps.
  • Review existing internal planning processes to identify areas for improvement.
  • Champion tools and conduct training sessions on how to interpret and use analytics effectively.
  • Responsible for a financial enterprise performance management and information architecture to enhance integrations and streamline operations.
  • Advocate for the exploration of innovative financial technologies and recommend system upgrades.
  • Understand solutions that will take initiatives into account by converting business needs into the corresponding technical requirements.
  • Connect activities across different work streams to ensure they align with the organization's overall timeline.
  • Organize and direct business development activities.
  • Conduct various pre and post-launch activities.
  • Plan, drive, and participate in User Acceptance Testing.

Qualifications:

  • Bachelor's Degree in Accounting, Finance, Business, Information Systems or equivalent experience.
  • 5+ years of experience with data engineering solutions, software development life cycle, and/or project life cycle activities.
  • Significant experience and expertise in both business and technology.
  • Change management capabilities.
  • Fluency across three disciplines: Finance and Accounting Operations, Project Management, and Technology.
  • Adaptability to recognize business needs shifts.
  • Experience with Oracle ERP and Oracle EPM Hyperion Planning and Essbase.
  • Experience with Cloud technology.
  • Strong understanding of reporting tools (e.g., Smart View, Oracle Data Visualizer, Power BI).
  • Experience with operational data science, machine learning, or artificial intelligence solutions is a plus.
  • Understanding of accounting databases and information systems.
  • Experience eliciting business requirements and translating them into a data digital transformation strategy preferred.
  • Exceptional analytical and troubleshooting skills preferred.
  • Willingness and ability to mentor less experienced team members preferred.


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