Posted:
9/6/2026, 9:18:41 PM
Location(s):
Uttar Pradesh, India ⋅ Noida, Uttar Pradesh, India
Experience Level(s):
Senior
Field(s):
Finance & Banking
Workplace Type:
On-site
Pay:
$169k/yr
Key Responsibilities
Conduct foundation readiness assessments by legal entity / country: data quality, chart-of-accounts mapping, trial balance structure, and source-system gaps.
Perform hands-on data cleanup and normalization of statutory source data (COA mapping, TB tagging, master data alignment) ahead of automation waves.
Document current-state process maps and standard work (feeding Value Stream Mapping) for statutory filing production and Stat-to-GAAP (S2G) reconciliation.
Identify, size, and prioritize standardization opportunities using an effort-vs-impact lens, based on guidance provided by the CoE Leader.
Partner with in-scope regional statutory teams to gather requirements, validate data readiness, and resolve entity-specific complexities.
Translate readiness findings and standardized templates into clear, automation-ready requirements and specification documents for the AI/ML Specialist and Automation Developer roles.
Track readiness KPIs (entities assessed, exceptions resolved, templates standardized) and report progress and roadblocks to CoE leadership and the Steering Committee.
Support pilot and scale waves of the two core AI solutions — AI-assisted financial statement production and automated S2G adjustments — by ensuring clean, standardized inputs are in place ahead of each wave.
Required Qualifications
Bachelor’s degree in accounting, Finance, or a related field
7+ years of experience in statutory reporting, controllership, or finance transformation
Strong data analysis skills (advanced Excel required; exposure to Power BI, or similar a plus).
Strong experience & knowledge in Electrification statutory processes would be preferred.
Experience working across multi-country / multi-entity finance operations.
Demonstrated ability to document processes and standard work (process mapping / VSM experience preferred).
Comfortable working at the boundary between controllership/statutory teams and the technical/automation team — able to translate statutory process knowledge into clear requirements for the AI/RPA specialists to build, without having to write the code themselves.
Preferred Qualifications
Prior exposure to GE Vernova (or comparable) statutory processes, Oracle FCC, or similar consolidation/ERP systems.
Working knowledge of RPA or AI concepts sufficient to translate business requirements into technical specifications.
Prior coding or scripting experience (e.g., Python, VBA, Power BI/DAX, Alteryx, UiPath, or similar RPA tools) is a plus, along with familiarity with AI agent workflows.
Relocation Assistance Provided: Yes
Website: https://www.gevernova.com/
Headquarter Location: Boston, Massachusetts, United States
Employee Count: 10001+
Year Founded: 2021
IPO Status: Public
Last Funding Type: Grant
Industries: Energy ⋅ Energy Efficiency ⋅ Sustainability
Visa Sponsorship: Sponsors work visas