Sanjeev Kapoor
Senior Ai Leader @Implementation Engineers
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WORK HISTORY
Senior Ai Leader @Implementation Engineers
Canton, MI, US
Reporting to the SVP of Digital Transformation, I lead client AI engagements end-to-end—from opportunity discovery and solution design through production deployment—translating business priorities into scalable AI solutions with measurable outcomes.Key responsibilities include:• Partner with executive and functional stakeholders to assess digital maturity, define priority use cases, and align AI opportunities to business goals and operating metrics.• Drive end-to-end AI delivery: data acquisition and preparation, model development/training, validation, deployment, and post-launch optimization.• Develop AI roadmaps and implementation plans that integrate with broader digital transformation programs, governance, and operating rhythms.• Prototype and productionize solutions, delivering user-facing value through APIs, dashboards, and lightweight applications/workflows.• Monitor and improve deployed models using performance tracking, feedback loops, and continuous improvement practices.• Design and deploy Retrieval-Augmented Generation (RAG) knowledge bases to enable secure, reliable enterprise search and AI-assisted decision support.• Support change management, enablement, and adoption to ensure AI solutions are sustained and embedded into day-to-day operations.
EDUCATION
Panjab University
B.E., Mechanical Engineering
University of Michigan - Stephen M. Ross School of Business
MBA with focus on Strategy & Finance
SKILLS
ABOUT SANJEEV KAPOOR
Transforming Business Through Data, AI/ML, & Strategic Product/Program LeadershipEnterprise Data & AI leader with 20+ years leading digital transformation across automotive and technology sectors. I deliver secure, scalable enterprise data, AI/ML, and software platforms that unlock new revenue and boost operational efficiency while building privacy & trust. Experienced in Data & AI Strategy and Governance, I implement ethical, compliant, outcome-driven practices aligned to business goals & risk controls. Skilled at applying AI/ML, predictive analytics, and emerging technologies to modernize legacy estates and enable cloud-native capabilities at scale. Proven record leading high-performing global teams and managing multimillion-dollar programs that drive measurable, repeatable, sustained enterprise business impact.Areas of Expertise:• Drive vision, strategy, and management of petabytes of sensitive data• Design & execute enterprise AI/ML programs to deliver topline growth & bottom-line savings to achieve business goals, Certified AI & Gen AI Professional• Deploy AI and Industrial Internet of Things (IIoT) to transform smart manufacturing (Industry 4.0)• End-to-end ownership of product vision, strategy, & execution implementing Agile• Big data analytics & visualization• Implement data governance, privacy, regulatory & compliance - GDPR, CCPA• Architect & develop scalable enterprise software products/solutions on cloud• Global portfolio/program management, Certified PMP• Enterprise agile transformation, Certified Agile Practitioner• Continuous Improvement; Certified Six-Sigma Black Belt• Google Cloud Platform, Azure, SQL, Kafka, Terraform (IaC), MLOps, RAG, Hadoop, Python, C++, Java, Jira, SaaS, GitHub• CI/CD, DevOps, APIs, MicroservicesSignature Achievements:• Cloud & Data Engineering: Led $10M migration of petabytes of data from Hadoop to Google Cloud Platform, improving system performance by 35% and enabling AI/ML capabilities at scale• AI/ML Product Innovation: Built & scaled enterprise Data & AI capability hub unifying Data Science, ML Engineering, and Product teams across NA, EU, & APAC• Revenue Generation: Developed usage-based insurance and smart mobility products, creating new revenue streams & supporting digital transformation• Compliance Excellence: Architected AI-driven Compliance-as-a-Service platform processing GDPR/CCPA requests with 40% efficiency gains & zero breaches• Cost Optimization: Delivered $1.5M annual savings through strategic consolidation; reduced budget variance from 32% to 15% on $250M portfolio
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