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.
