Director, FCSD Data Analytics and Business Intelligence

In this role, you will lead the strategic integration of several key functions-including data strategy, business intelligence, reporting, and customer experience analytics-into a unified, global team comprising both internal employees and external partners. Operating as a proactive service function, your organization will work in partnership with FCSD's business line leaders to directly support and accelerate their business results. This role is not about maintaining legacy processes or acting as a reactive "data vendor" that extracts raw files and distributes spreadsheets.

Instead, you are tasked with architecting a modern, AI-first insights engine. You will build a highly proactive team that pushes our business leaders on their strategic thinking, challenges status-quo assumptions with deep, diagnostic and predictive analytics, and unlocks the critical insights needed to drive our business transformation.

At Ford Motor Company, we are dedicated to delivering the ultimate ownership experience. The Director, FCSD Data Analytics and Business Intelligence (LL4) is a transformative executive leader responsible for defining, aligning, and executing a unified, future-ready data analytics and business intelligence strategy for the Ford Customer Service Division (FCSD).

1. Future-State Operating Model & Resource Integration

* Design the Future Organization:
Integrate diverse reporting and data/analytics teams into a global structure of 30+ professionals.

* Orchestrate the Employee-Vendor Ecosystem:
Efficiently manage a blended team of internal talent and external vendors. Ensure our partners effectively "run the railroads" so that internal teams can focus on high-value strategy and proactive insight generation.

* Lead Cultural and Skill Transformation:
Have a mindset of proactive, strategic advisory partner to FCSD business leaders, enabling the team to work seamlessly in modern, cloud-native, and AI-first environments.

2. Proactive Business Intelligence, Insights & Service Delivery

* Support Business Line Results:
Position the Data Analytics and Business Intelligence team as a premier service function, collaborating intimately with FCSD business line leaders to drive EBIT expansion and better operational execution.

* Challenge the Status Quo:
Shift the division away from, manual spreadsheet-sharing toward dynamic, predictive business intelligence. Empower your team to synthesize complex datasets and deliver sharp, actionable insights that proactively shape future business strategies.

* Establish Dynamic Enterprise KPIs:
Oversee the development and automation of next-generation performance metrics, utilizing AI-driven visualization to track and predict customer pay service, leads, wholesale, parts supply & logistic, network performance.

* Own the Semantic Layer and Metric Governance:
Reinforce centralized Business Rules to eliminate conflicting data across business units, ensuring a single version of truth.

3. Integrated Customer & Dealer Data Strategy

* Consolidate Dealer & CX Data:
Evolve the customer and dealer lifecycle by bringing Dealer Management System (DMS) datasets and Customer Experience (CX) survey metrics into a single, unified data strategy.

* Synthesize Voice of Customer (VoC) and industry data:
Build cohesive feedback loops that make customer and dealer sentiment and industry benchmark insights highly visible and actionable from executive leadership to the dealership floor.

* Continue Leadership in Data Integration:
Define the long-term vision for dealer-partner data sharing, integration, and security, ensuring high-integrity, compliant pipelines feed the team's advanced analytics engines.

4. AI-First Analytics & Modern Tech Stack Evolution

* Establish an AI-First Culture:
Leverage AI to automate routine reporting, accelerate insight generation, and perform diagnostic modeling at scale.

* Partner with Central Ford Tech teams:
Collaborate closely with Ford's centralized data science and Enterprise Technology organizations to transition FCSD's data assets from legacy environments into modern, cloud-native architectures

1. Future-State Operating Model & Resource Integration

* Design the Future…