IT Director - Data, Analytics & AI (AFM, Commercial & Engineering) (Novi, MI, US, 48377)

Dana Incorporated

Experience: 10+ yrs
Location: Novi, Michigan, United States
Job type: Full-time

Required skills

Data platforms
Analytics environments
AI/ML tools
GenAI
Data governance tools

About the role

Job Purpose

The Director of Data, Analytics & AI leads the strategy, delivery, and adoption of enterprise data, analytics, and artificial intelligence capabilities across Aftermarket, Commercial, Engineering, and Electrification domains. This role is accountable for transforming data into trusted insights, predictive intelligence, and AIenabled outcomes that materially improve decision-making, operational performance, and business value.

The role owns modern data platforms, analytics products, and AI use cases endtoend—partnering closely with business, engineering, IT, and operations leaders to industrialize analytics and embed AI into daytoday workflows.

Job Duties and Responsibilities

Data & AI Strategy and Leadership

Define and execute the enterprise Data, Analytics & AI strategy, aligned to business priorities and digital transformation goals.
Establish and maintain a multiyear roadmap for data platforms, analytics, AI/ML, and GenAI capabilities.
Serve as a senior advisor to business and functional leaders on where data and AI can unlock measurable value.
Build, lead, and develop highperforming global teams across data engineering, analytics, data science, and AI delivery.

Data Platforms & Architecture

Own the design and evolution of enterprise data platforms, including data lakes/lakehouse, analytics environments, and integration patterns.
Lead analytics, enterprise data lakes, and curated data products used across functions.
Ensure platforms are scalable, secure, costeffective, and designed for analytics and AI at scale.
Partner with Enterprise Architecture and Cybersecurity to enforce standards, governance, and data protection.

Analytics, AI & Advanced Capabilities

Identify, prioritize, and deliver highvalue analytics and AI use cases, including:
Operational and financial performance analytics
Predictive and prescriptive insights for aftermarket, supply chain, and engineering
AIenabled forecasting, anomaly detection, and optimization
Generative AI for engineering productivity, analytics automation, and decision support
Oversee the full lifecycle from experimentation to productiongrade AI solutions.
Drive a productbased analytics model—building reusable data assets and AI capabilities rather than oneoff reports.

Data Governance, Quality & Trust

Establish enterprise data governance, stewardship, and master data frameworks.
Define data ownership, critical metrics, and quality standards to improve trust and adoption.
Ensure compliance with security, privacy, IP protection, and responsible AI principles.
Measure and improve data quality, lineage, and transparency across domains.

Value Realization & Adoption

Partner with business leaders to translate problems into analytics and AI solutions.
Define success metrics and track business value (productivity, cost, quality, revenue, risk).
Drive change management and adoption to ensure insights and AI are embedded into daily operations.
Lead analytics operating reviews covering adoption, value, risk, and platform health.

Enabling Platforms & Delivery (Supporting)

Ensure core engineering and digital platforms effectively feed enterprise analytics and AI use cases.
Collaborate with engineering platform teams (e.g., PLM, DevOps, EV systems) to enable data access and insight generation.
Manage vendor relationships, delivery partners, and financial planning for data and AI initiatives.

Education and Qualifications

Bachelor’s degree in Computer Science, Engineering, Data, or related field (Master’s preferred).
10+ years of experience in data, analytics, AI, or digital transformation roles.
Proven experience delivering enterprisescale data and analytics programs with measurable business impact.
Strong understanding of modern data architectures, analytics platforms, and AI/ML concepts.
Experience leading global, crossfunctional teams.

Preferred

Handson familiarity with advanced analytics, AI/ML, MLOps, or GenAI use cases.
Experience in manufacturing, industrial, or assetintensive environments.
Exposure to OT/IT data integration, operational analytics, or engineering data ecosystems.
Strong financial and vendor management experience.
Measures of Success
Business value delivered through analytics and AI initiatives
Adoption and trust in data, insights, and AI tools
Speed from idea to production for analytics and AI use cases
Data quality, governance maturity, and platform scalability

Skills and Competencies

About Dana Incorporated

Manufacturer of vehicle driveline and thermal management systems.

This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.