Finance Operate - Manager, Integration & Data Lead

About the role

Recruiting for this role ends on 09/30/2026. As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform.

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).