Digital Transformation Engineer

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.