Finance Operate - Manager, Integration & Data Lead

Position Summary

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence.

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. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions.

Work You Will Do

Data Architecture & Integration Strategy

• 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.

• 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
• Limited immigration sponsorship may be available

• 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).