Finance Transformation Consultant
Job Description
Key Skills Required
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Requirements
Finance transformation Specific
- Strong understanding of key finance processes i.e. P2P, O2C, RTR, FP&A, Tax Treasury, etc. and associated risks
- Able to conduct and lead workshops with stakeholders to understand key finance processes, risks, gaps, and inefficacies across people, process, technology, data and internal controls
- Understanding of digital tools used across finance - Core ERP systems, Financial consolidation tools, Data analytics etc.
- Understanding and experience in 'Finance in Digital World' technologies such as GenAI, AI, Analytics, automation solutions and use cases to drive innovation in client finance processes
- Ability to create Process Documentation (Maps / RACI / SLAs), Perform Time and motion studies / Manpower assessments
- Understanding of Finance maturity assessment models and Target operating model design and roll outs
- Experience with at least 1 Strategy to execution transformation program (More the better)
- Strong foundation in core consulting skills such as problem-solving, strategic thinking, and strong proficiency in PowerPoint, Excel, and Visio skills
- Bonus to have experience with process mining (Own experience)
- Experience with project management methodologies and tools
Must have:
- Lead a team
- Lead project workstreams
- Support with Business development
- Coach and guide the project team
- Manage timelines and resources on projects
- Manage Project Economics
- 4 to 6 Years of experience with At least 4 years relevant to the above pointers
- GCC, Finance Transformation, Target operating model
Good-to-have skills
AI, Automation, finance strategy
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View Company ProfileWeekday is an AI-powered recruitment platform designed to act as a fully automated outbound sourcing engine. Instead of posting a job on traditional boards and waiting for active job seekers to apply, Weekday empowers companies to proactively hunt top-tier tech talent. They maintain a massive database of over 250 million profiles (heavily focused on the US and India) complete with verified contact data. Their AI contextually screens candidates to find the perfect fit, and then the platform automatically runs personalized, multi-channel outreach campaigns to engage those passive engineers and bring them directly into your interview pipeline.
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