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.