Jinex Jose Ninan

About Jinex Jose Ninan

Experienced Data & AI executive shaping enterprise data strategy and leading large-scale global data engineering organizations. Proven ability to define and execute data product vision, scale high-performing teams, and deliver cloud-native, AI-ready platforms that enable business transformation and measurable outcomes.Recognized leader in enterprise data architecture and operating models, including Lakehouse, Data Mesh, Data Virtualization and Agentic AI-enabled analytics and automation, with deep experience across Azure, AWS, and GCP ecosystems. Trusted business partner to senior leadership, with a strong record of owning P&L, governing multi-million-dollar data programs, driving roadmap execution, and influencing executive stakeholders to align data investments with strategic priorities.Core Competencies• Data Engineering Leadership & Strategy• Enterprise Data Architecture (Lakehouse, EDW, Data Hub)• Data Product,Virtualization Strategy & Delivery• Agentic AI Strategy & Enablement• Cloud Platforms: Azure, AWS, GCP• Modern Data Stack: Snowflake, Databricks, dbt, Starburst, Athena• Streaming & Integration: Kafka, StreamSets, Airflow/Composer• Advanced Analytics & AI Enablement• Data Governance, Metadata & Quality• Agile / Scaled Agile Delivery• Client & Executive Stakeholder Management• Program Financials, Forecasting & P&L• Manufacturing, Retail, Pharma, Banking and Technology domains

Experience

1. Architect Sr Manager - Data & Ai

   埃森哲

   May 2021 — Present · Charlotte, NC, US

   Role: Leader – Data Product Strategy & Implementation, Data Architecture and Engineering and AIUS Pharmaceutical Company | Jun 2024 – Present• Lead enterprise data product strategy and implementation for a global pharmaceutical organization.• Define data product vision, operating model, and roadmap aligned with regulatory, R&D, and commercial needs.• Drive domain-oriented data products, analytics enablement, and AI-readiness.• Enable Agentic AI use cases (decision support, workflow orchestration, and intelligent automation) by designing trusted, governed, AI-ready data products.• Partner with business, compliance, and technology leadership to ensure scalable, governed data solutions.• Oversee implementation across ingestion, transformation, analytics, and consumption layers.Role: Leader - Enterprise Data Architecture / DeliveryUS Retail Company | Feb 2023 – May-2024• Architected and delivered an enterprise-scale data platform spanning ingestion, processing, virtualization, analytics, and self-service BI.• Own data architecture, solution roadmap, delivery governance, and program financials.• Partner with business leaders across Sales, Supply Chain, and Operations to deliver data-driven performance optimization.• Drive process automation, platform standardization, and cost optimization across the data ecosystem.Technologies: Azure, Snowflake, StreamSets, Starburst, dbt, Power BI, Control-M, JiraRole: Enterprise Data Architect / Data PoD Lead / Client PartnerUS Background Check Company | May 2021 – Jan 2023• Defined Data & AI strategy and technology roadmap for the enterprise.• Architected a cloud-native data platform supporting analytics, ML, and operational reporting.• Led data engineering and data science teams, overseeing planning, delivery, and deployment.• Owned program financials, forecasting, and delivery commitments.Technologies: GCP, Databricks, PySpark, Airflow/Composer, Kafka, MongoDB Atlas, Alation, GitLab

Education

• Masters - Computer Applications

  Masters in Computer Applications (MCA), Computer Application

  2001 — 2004