Overview
Execution lead for the P&L data product agenda on One Data Foundation, starting with Revenue and Expense Accrual data. Works between Finance, Accounting and Technology to turn the Global Product Owner's priorities into certified, reusable data products.
What you'll do
- Act as the working-level link between upstream accrual data producers and downstream consumers, so issues are raised once, routed to the right producer and tracked to closure.
- Partner with P&L process owners' teams (Controllers, Global Accounting, FP&A and other consumers) to understand how they use the data and the outcome they need.
- Surface pain points and new needs early to the Global Product Owner.
- Draft and maintain producer–consumer terms: definitions, scope, frequency, granularity, quality thresholds, ownership and issue handling, for approval by the Global Product Owner.
- Support the consumer forum by preparing the agenda and facts, and make differences in how consumers interpret or override the same data visible.
- Document the manual processes, adjustments and overrides on the production and consumption sides of each in-scope P&L process.
- Quantify the effort and find the root causes.
- Recommend and drive fixes: move adjustments upstream or into the product so they are made once and governed, remove spreadsheet dependencies, and stop point-to-point sourcing.
- Use AI and automation to speed requirements, metadata, CDE identification, lineage, DQ rules, documentation and testing, within agreed controls.
- Run day-to-day delivery of the accrual data products, maintain the backlog, and define requirements.
- Work with architecture and engineering on sources, transformations, business rules and lineage.
- Prepare each product for certification: definitions, CDEs, lineage, DQ rules and controls complete, reconciled to the authoritative source, and confirmed to meet accounting requirements.
- Fix issues at the source with producers, strengthen reconciliation, and maintain a shared business glossary.
- Publish and reuse on One Data Foundation, enhancing existing products before creating new ones, and support retiring legacy sources and BI reports in favor of certified data.
- Give the Global Product Owner clear, regular updates on progress, risks and decisions needed, and escalate early.
- Prepare materials for senior stakeholder discussions.
- Work across time zones with agreed overlap hours, documented handoffs and clear written follow-up.
- Guide and develop team members in India as the work grows.
What you'll need
- Significant banking or financial services experience in Finance, Accounting or P&L functions.
- Strong working knowledge of revenue and/or expense accruals, accounting concepts, controls and reconciliations.
- Solid grasp of data lineage, quality and governance principles, with the ability to analyze and validate data independently (for example, SQL) and reconcile it to source.
- Strong analytical and problem-solving skills, including the ability to analyze manual processes and adjustments to find root causes and efficiency opportunities.
- Experience working between business and technology teams, with the ability to influence without direct authority and work effectively with global stakeholders across time zones.
- Clear written and verbal communication that explains data issues in terms of business impact.
- Demonstrated curiosity and a record of improving ways of working through automation or AI.
Nice to have
- Hands-on experience with Databricks, Power BI or similar platforms; working knowledge of SQL and data modeling.
- Exposure to billing, revenue or general ledger systems and how they integrate with reporting platforms.
- Experience with platform migration or re-engineering programs, and with leading complex, multi-team work.
- Familiarity with GenAI or machine learning use cases in Finance, and agile or product ownership experience.
- Background in regulated or audit-sensitive environments, including regulatory and external reporting.
- Professional qualification (CA, CPA, CFA) or a degree in Finance, Accounting, Data or a related field.
Details
- Location: Bangalore, India.
Read the full description and apply on the company’s own careers page.