Director, FCSD Data Analytics and Business Intelligence

Ford Motor•Allen Park, MI

About The Position

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.

Requirements

Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Engineering, Mathematics, Business, or a related field.
Minimum of 10 years of progressive experience in business analytics, data strategy, business intelligence, or customer insights.
Minimum of 5 years of experience leading and developing global, multi-tiered, or cross-functional teams of 20+ professionals (including direct employees and vendors).
Experience leading a technology-focused team through transformation
Deep conceptual knowledge of modern cloud environments (e.g., Google Cloud Platform), automated BI semantic layers, advanced analytics workflows, and AI agents with experience successfully migrating legacy reporting into modernized platforms.

Nice To Haves

Master’s degree in Data Science, Mathematics, Engineering, or an MBA with an analytical focus.
Prior experience in dealership operations, automotive parts and service, or aftersales business dynamics.
Certified in modern, agile data product management, continuous delivery frameworks, or Lean methodologies.

Responsibilities

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.
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.
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.
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.
Reinforce centralized Business Rules to eliminate conflicting data across business units, ensuring a single version of truth.
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.
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.
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.
Leverage AI to automate routine reporting, accelerate insight generation, and perform diagnostic modeling at scale.
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.