Finance Operate - Manager, Integration & Data Lead

About the role

Join our Finance Transformation team to help shape the future of finance. Collaborate with CFOs, finance leaders, and executive clients to solve complex challenges and deliver innovative, market-driven solutions.

Responsibilities

• Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption.
• Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems.
• Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value.
• Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation).
• Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity.
• Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap.
• Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance).
• Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability.
• Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings.
• Specify BI consumption patterns, metrics definitions, and data lineage documentation standards.
• Ensure all integration designs meet enterprise security, compliance, and privacy expectations.
• Mentor and guide Data Engineers and Integration Engineers across Offshore teams.
• Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment.
• Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures.
• Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts.
• Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services.
• Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy).
• Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations.
• Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.

Qualifications

• Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx.
• Knowledge of ServiceNow integration capabilities and workflow data flows.
• Experience in a managed services or Finance Operate context.
• Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes.
• Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent).