Manager Financial Operations

Overview

Lead day-to-day execution of financial close operations, multi-partner reconciliation, data pipeline governance, and operational reporting within Roku's Revenue Infrastructure function, and manage a team of Financial Operations Analysts.

What you'll do

• Oversee and review the team's end-to-end month-end and quarter-end financial close for Commerce Platform revenue, liabilities, and partner payables, owning the close calendar, priorities, and on-time completion
• Direct and review the team's execution and validation of automated journal entries across revenue recognition, deferred revenue, chargebacks, and partner settlements; ensure posting failures are investigated and resolved
• Partner with Revenue Accounting and Treasury to resolve close blockers, inter-company settlements, and timing differences; represent the team in US / PST close reviews
• Ensure the team maintains close checklists, run books, and process documentation, and that SOX evidence packages are complete and audit-ready
• Oversee the team's daily and monthly multi-partner reconciliation workflows across authorization-to-settlement, settlement-to-payout, and bank reconciliation
• Review, triage, and prioritize reconciliation breaks, exceptions, and discrepancies; ensure the team resolves them within SLAs
• Monitor exception aging trackers and drive resolution, escalating to payment processors, banks, and internal teams as needed
• Guide root-cause investigation on recurring breaks; review the team's findings and approve process fixes for implementation
• Oversee partner onboarding into reconciliation workflows against readiness criteria and acceptance standards
• Direct the team's build and maintenance of operational dashboards (Looker / Tableau) tracking reconciliation status, exception rates, close timelines, and pipeline health; review them for accuracy
• Review and present weekly and monthly operational status reports to leadership, covering exception aging, SLA performance, and pipeline uptime
• Direct ad-hoc analytical support for financial investigations, partner disputes, and settlement discrepancy research; review outputs before they reach stakeholders
• Ensure the team executes SOX control activities for owned financial workflows; review control steps, evidence, and test results
• Oversee preparation and delivery of audit evidence packages for internal and external audit requests within required timelines; act as the primary point of contact
• Review day-to-day processes for control gaps and operational risks; escalate framework-level decisions
• Ensure standard operating procedures (SOPs) with clear RACI ownership are maintained for all operational workflows
• Set clear expectations and allocate daily workload across reconciliation, close, data operations, and reporting; follow up and track every deliverable to closure
• Review and quality-check the team's deliverables (reconciliations, journals, dashboards, reports) before release
• Drive skill development in SQL, Python, financial analysis, and reconciliation methodologies; conduct regular one-on-ones and career development conversations
• Run daily connects / standups with the India team, plan and track work, remove blockers, and ensure operational continuity during US business hours
• Identify manual, repetitive, or error-prone areas and direct the team to build automation (Python scripts, Airflow DAGs, SQL procedures)
• Champion AI adoption within the team, leveraging AI tools to accelerate development, surface patterns in data, and improve productivity
• Define and track monthly KPIs and performance metrics for the team, including throughput, error rates, SLA adherence, and automation coverage
• Foster an analytical, data-driven mindset and build a culture of documentation and knowledge sharing

What you'll need

• Bachelor's degree in Commerce, Finance, Accounting, Computer Science, or a quantitative field
• 7+ years in Financial Operations, Revenue Operations, Reconciliation, or Commerce / Payments, including 3+ years directly managing analyst teams (ideally distributed / offshore teams supporting US-based stakeholders)
• Strong working proficiency in SQL (window functions, CTEs, complex joins across large datasets), enough to review and guide the team's analytical work
• Familiarity with Python for data automation and scripting, enough to review and guide the automation the team builds
• Experience with data warehouse platforms (such as Snowflake), ETL/orchestration tools (Airflow, dbt), and BI tools (Looker, Tableau)
• Experience operating in high-volume commerce, payments, or subscription environments with multi-currency, multi-partner complexity
• Strong analytical mindset with the ability to investigate discrepancies, perform root-cause analysis, and drive resolution
• Detail-oriented with high standards for accuracy, timeliness, and documentation
• Demonstrated ability to identify automation opportunities and implement solutions that reduce manual effort by measurable margins
• Experience using AI/ML tools or LLMs to enhance operational workflows, data analysis, or code generation
• Proven people-management track record: leading, mentoring, and developing analyst teams; allocating work, reviewing output, following up to closure, and getting results through others
• Strong decision-making skills with the ability to balance speed, accuracy, and risk in a fast-paced operational environment
• Demonstrated ability to work across time zones and partner effectively with US-based stakeholders
• Effective communication skills, with the ability to explain complex financial/data issues clearly to both technical and non-technical audiences

Nice to have

• Experience in streaming, media, ecommerce, or digital subscription businesses
• Experience with payment settlement operations across multiple processors (such as Adyen, PayPal, Braintree)
• Familiarity with financial controls frameworks (SOX, SOC2) and audit processes
• Experience building automated reconciliation solutions or financial data pipelines from scratch
• Experience with Git/GitLab version control for SQL/Python code management
• Experience with Jupyter Notebooks for financial analysis and data exploration

Details

• Location: Bengaluru, India
• Roku's hybrid working approach: teams generally work in the office Monday through Thursday, with Fridays generally flexible for remote work, except for employees whose specific roles or assigned office location require five days a week attendance