{"id":34228,"date":"2025-04-08T12:17:44","date_gmt":"2025-04-08T11:17:44","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&#038;p=34228"},"modified":"2025-05-13T01:39:42","modified_gmt":"2025-05-13T00:39:42","slug":"vikram-sharma-director-of-engineering-data-and-ai-platform-lenovo-usa","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/vikram-sharma-director-of-engineering-data-and-ai-platform-lenovo-usa\/","title":{"rendered":"Vikram Sharma, Director of Engineering Data and AI Platform, Lenovo USA"},"content":{"rendered":"<p><span data-contrast=\"auto\">I am a Senior Director of Engineering, leading global platform and product engineering teams, technical program management, and DevOps. I oversee globally distributed teams. My expertise spans cloud architecture, SaaS platforms, DevOps, AI and ML, and digital transformation, with experience deploying large-scale cloud solutions using AWS, Azure, GCP, Kubernetes, and OpenShift. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A core focus of my leadership has been on data platform engineering and AI-driven transformations. I architected and led the development of a cloud-native Data Management Platform, providing scalable, high-performance storage and processing capabilities for structured and unstructured enterprise data. This platform underpins AI and ML Ops, generative AI and LLM-based applications, and predictive analytics, ensuring seamless data governance, security, and access control. I have spearheaded the design of AI-driven insights and anomaly detection systems, integrating advanced pattern recognition, RAG-based genAI applications, and scalable AI model deployment frameworks.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">From an organizational data strategy perspective, I have driven data democratization, self-service analytics, and cost-efficient data lake strategies, enabling enterprise-wide adoption of AI and ML capabilities. I optimized data workflows by unifying data ingestion, transformation, and real-time analytics within a central cloud-native platform, reducing latency while supporting multi-cloud and hybrid cloud architectures.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I am a Senior Director of Engineering, leading global platform and product engineering teams, technical program management, and DevOps. I oversee globally distributed teams. My expertise spans cloud architecture, SaaS platforms, DevOps, AI and ML, and digital transformation, with experience deploying large-scale cloud solutions using AWS, Azure, GCP, Kubernetes, and OpenShift. \u00a0 A core focus [&hellip;]<\/p>\n","protected":false},"author":19,"featured_media":35638,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"100-designation":[1294],"100-search-term":[1290],"class_list":["post-34228","100-alumni","type-100-alumni","status-publish","format-standard","has-post-thumbnail","hentry","100-designation-100-brands-2025-americas","100-search-term-2025-north-america-brands"],"acf":{"sort":"","rank":"","forename":"Vikram","surname":"Sharma","fullname":"Vikram Sharma ","jobtitle":"Director of Engineering Data and AI Platform","organisation":"Lenovo USA ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":35638,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-05-21 01:48:09","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"100-designation","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/34228","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/100-alumni"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=34228"}],"version-history":[{"count":2,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/34228\/revisions"}],"predecessor-version":[{"id":36019,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/34228\/revisions\/36019"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/35638"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=34228"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=34228"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=34228"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}