Suresh Pandurengam

About Suresh Pandurengam

Vice President / Chief Data Officer (CDO)/ Chief Data & Analytics Officer (CDAO) with 25+ years of experience leading enterprise‑scale digital, data, and analytics transformations across manufacturing, CPG, retail, utilities, and healthcare. Proven executive leader in defining and executing enterprise data strategies, analytics roadmaps, and cloud modernization initiatives that deliver measurable business outcomes, operational agility, and cost efficiency.A hands‑on CDO‑level leader recognized for rolling up sleeves to solve complex problems, drive root‑cause resolution, and deliver resilient, high‑quality, trusted data services at scale. Trusted partner to C‑suite and senior business leaders, translating corporate strategy into data‑driven operating models and modernizing legacy, SAP‑centric BI environments into cloud‑enabled, self‑service, near‑real‑time analytics platforms.Brings deep expertise across AI and advanced analytics, SAP S/4HANA and SAP BW/HANA, Azure, Snowflake, Incorta, Google Cortex, and Power BI, with a strong focus on enterprise data architecture, governance, security, and trust. Enables advanced analytics, ML‑driven insights, and executive decision intelligence through scalable, secure data foundations.Demonstrated success owning and governing enterprise analytics portfolios, influencing investment decisions, optimizing platform and cloud costs, and balancing innovation with reliability and value realization. A strong people and transformation leader with extensive experience building and leading high‑performing global teams, managing strategic vendors, and establishing operating models that drive execution discipline, accountability, and sustained business impact.

Experience

1. Director - Digital Data & Analytics

   Primient

   Jul 2022 — Present · US

   Owned and drove the enterprise data and analytics portfolio end‑to‑end, personally shaping strategy, investment prioritization, roadmap execution, and value realization across multiple large‑scale initiatives. Served as a trusted strategic advisor to the CIO and executive leadership, translating transformation, growth, and operational objectives into executable, data‑driven programs while remaining deeply engaged in architecture and delivery decisions.Led—hands on—the transformation from legacy, report‑centric BI to a modern, cloud‑enabled, self‑service analytics ecosystem, significantly improving decision velocity, data accessibility, and organizational agility. Established enterprise‑wide analytics operating models balancing rapid innovation with resiliency, security, governance, and cost optimization, while personally resolving complex architectural and data challenges.Owned and executed an enterprise SAP master data cleansing and archival initiative in close partnership with IT and business leaders, modernizing governance, reducing technical debt, and enabling scalable, future‑ready operations. Personally enabled AI‑driven POVs and POCs using Incorta AI and Facilis.ai, applying hands‑on analytics and data engineering expertise to manufacturing anomaly detection, predictive analytics, and operational use cases, delivering measurable improvements in forecast accuracy and operational efficiency.Led the architecture and deployment of Azure‑based data platforms, ensuring secure, governed, and scalable analytics, while aligning production releases and chairing CAB governance. Increased ROI through shared infrastructure optimization and application rationalization, reducing cost and complexity. Built and managed global delivery models integrating internal teams, offshore resources, and strategic vendors to drive predictable execution, high‑quality outcomes, and strong service performance.

Education

• Wisconsin School of Business

  Front Line Leadership Program, Educational Leadership and Administration, General

• University of Madras

  Bachelor's degree, Computer Science & Engineering

  1990 — 1993