Ev Strategy Jobs in Michigan (NOW HIRING)

The Sr IT Director- Data Analytics & AI, AFM, Commercial, Engineering & EV is a senior leadership role responsible for defining and executing the company’s enterprise-wide data strategy, with a strong focus on Master Data Management (MDM), data governance, and AI-driven transformation across Aftermarket (AFM) and Commercial domains.

This role leads the end-to-end data value chain—from master data integrity and governance to advanced analytics and AI—ensuring that enterprise data is trusted, unified, and actionable. The Sr. Director will partner closely with business, digital, and engineering leaders to embed data and AI into core commercial and operational processes, driving measurable outcomes in revenue growth, customer experience, and operational performance.

Enterprise Data & AI Strategy Leadership
•    Define and lead the enterprise data strategy, anchored in MDM, data governance, analytics, and AI, aligned to AFM and Commercial growth priorities.
•    Establish a multi-year roadmap spanning master data, data platforms, analytics, and AI/GenAI capabilities.
•    Act as a strategic advisor to executive leadership, shaping how data and AI drive competitive advantage, revenue, and operational excellence.
•    Build and lead a high-performing global organization across MDM, data engineering, governance, analytics, and data science.
Master Data Management (MDM) & Data Governance
•    Own and institutionalize enterprise MDM strategy and platforms across core domains (Customer, Product, Supplier, Pricing, Assets).
•    Establish data ownership, stewardship models, and domain accountability across AFM and Commercial.
•    Drive data standardization, harmonization, and lifecycle management to enable consistent reporting and AI readiness.
•    Lead enterprise-wide data governance frameworks, including policies, quality management, lineage, and metadata.
•    Ensure compliance with regulatory, privacy, cybersecurity, and intellectual property standards.
•    Define and track data quality KPIs and drive continuous improvement across business domains.
Data Platforms & Architecture
•    Own the strategy and evolution of modern data platforms, including lakehouse architectures, real-time data pipelines, and semantic data layers.
•    Ensure platforms are AI-ready, scalable, secure, and optimized for cost and performance.
•    Partner with Enterprise Architecture and Cybersecurity to enforce standards, data models, and integration patterns.
•    Enable seamless integration of ERP, CRM, supply chain, and engineering data into unified data products.
Analytics, AI & Advanced Capabilities
•    Define and scale a portfolio of high-impact analytics and AI use cases, including: 
o    Commercial performance, pricing, and margin optimization
o    Aftermarket demand forecasting and parts optimization
o    Customer insights and segmentation
o    Predictive maintenance and service optimization
o    AI-enabled anomaly detection and operational intelligence
o    Generative AI for commercial insights, automation, and decision support
•    Lead the end-to-end AI lifecycle (ideation to production) with strong MLOps and governance practices.
•    Establish a product-based data & analytics operating model, delivering reusable, scalable data products and AI capabilities.
AFM & Commercial Business Alignment
•    Partner with AFM and Commercial leaders to translate business strategy into data, MDM, and AI solutions.
•    Ensure master and transactional data enable core commercial processes including quoting, pricing, forecasting, and customer engagement.
•    Drive use of data and AI to enhance revenue growth, profitability, and customer experience.
•    Act as the primary data and AI leader for AFM and Commercial transformation initiatives.

Required
•    Bachelor’s degree in Computer Science, Engineering, Data, or related field (Master’s preferred).
•    12–15+ years of experience in enterprise data, MDM, analytics, and AI leadership roles.
•    Proven track record leading enterprise-scale MDM and data transformation programs.
•    Deep expertise in data governance, master data domains, and modern data architectures.
•    Experience delivering AI/analytics solutions with measurable commercial impact.
•    Strong leadership experience managing global, cross-functional teams and transformation programs.
Preferred
•    Hands-on experience with MDM tools/platforms, data quality frameworks, and metadata management.
•    Familiarity with AI/ML, MLOps, and GenAI applications in commercial or industrial settings.
•    Experience in manufacturing, aftermarket, or asset-intensive industries.
•    Exposure to OT/IT convergence and engineering data ecosystems.
•    Strong executive presence with ability to influence at C-suite level.
Measures of Success
•    Business value delivered through data, MDM, and AI initiatives (revenue, margin, cost, productivity)
•    Enterprise data quality, consistency, and governance maturity
•    Adoption and impact of analytics and AI in AFM and Commercial operations
•    Speed and scalability of data product and AI delivery
•    Effectiveness of MDM in enabling enterprise-wide insights and processes