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Provider Network Intelligence Jobs in Detroit, MI

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Provider Network Intelligence information

See Detroit, MI salary details

$78.2K

$96.5K

$121.3K

How much do provider network intelligence jobs pay per year?

As of Aug 15, 2026, the average yearly pay for provider network intelligence in Detroit, MI is $96,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $111,400.00 per year, depending on experience, location, and employer.

What is the difference between Provider Network Intelligence vs Provider Network Analyst?

AspectProvider Network IntelligenceProvider Network Analyst
CredentialsTypically requires healthcare data analysis certifications, knowledge of healthcare systemsOften requires healthcare administration or data analysis certifications
Work EnvironmentData analysis teams, healthcare organizations, insurance companiesHealthcare provider offices, insurance companies, healthcare networks
Employer & Industry UsageUsed for strategic decision-making, network optimizationInvolved in network management, provider relations

Provider Network Intelligence focuses on analyzing healthcare data to optimize provider networks and inform strategic decisions. In contrast, Provider Network Analysts handle day-to-day network management, provider relations, and data entry. Both roles require healthcare knowledge but differ in scope and focus.

What are popular job titles related to Provider Network Intelligence jobs in Detroit, MI?

For Provider Network Intelligence jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Provider Network Intelligence jobs in Detroit, MI look for?

The top searched job categories for Provider Network Intelligence jobs in Detroit, MI are:

Provider Network Intelligence jobs near you

Director, FCSD Data Analytics and Business Intelligence

Ford Motor Company

Allen Park, MI • On-site

Full-time

Posted 18 days ago

Job description


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.
Responsibilities
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

Qualifications
Required Skills and Capabilities
  • Transformational Leadership & Vision: Exceptional capability to lead global, cross-functional teams through change, while maintaining a high-performing service identity.
  • AI-First Technical Vision: A forward-looking leader with a strong conceptual grasp of generative AI, large language models, automated machine learning, next-generation visualization platforms, and modern cloud data ecosystems. Must keep pace with new innovation and leverage the latest tooling and agents to rapidly prototype solutions and prove value before scaling.
  • Proactive Advisory & Influence: A track record of acting as a consultative partner rather than a transactional service provider; someone who can leverage data to challenge senior executive thinking and constructively shape business outcomes.
  • Collaborative Relationship Builder: Strong interpersonal skills with a proven track record of partnering across corporate skill teams, technology partners, and external organizations.
  • Resource Orchestration: Ability to manage complex, blended teams (internal and external vendors) and design high-performing operating models during organizational change.
  • Action & output oriented. Hands on keys builder that can roll up their sleeves alongside engineering teams.
Minimum Qualifications:
  • Education: Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, Engineering, Mathematics, Business, or a related field.
  • Experience:
    • 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
  • Technical & Platform Familiarity: 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.
Preferred Qualifications:
  • Advanced Degree: Master's degree in Data Science, Mathematics, Engineering, or an MBA with an analytical focus.
  • Automotive or Aftersales Experience: Prior experience in dealership operations, automotive parts and service, or aftersales business dynamics.
  • Modern Methodology Certifications: Certified in modern, agile data product management, continuous delivery frameworks, or Lean methodologies.
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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