Manufacturing · Automotive · Aerospace & Defense · Heavy Equipment · Oil & Gas · Consumer Electronics
I am a seasoned Digital, Data & Analytics Transformation leader with 22+ years of experience driving enterprise-scale impact across manufacturing, supply chain, operations, and aftermarket ecosystems — leveraging AI/GenAI, IoT, and Industry 4.0 to deliver outcomes that matter.
My career has been defined by a relentless focus on aligning technology with business strategy to deliver measurable results — revenue growth, cost optimisation, supply chain resilience, and operational excellence. I bring deep expertise across Digital & IT Strategy, Analytics & AI, N-tier Supplier Visibility, Demand Management, Warranty & Quality Analytics, Smart Manufacturing, and emerging technologies including GenAI and Agentic AI.
As a trusted advisor to CIOs, CTOs, and C-suite executives at Accenture, SAS, and Genpact, I have helped global organisations move from reactive decision-making to predictive and prescriptive intelligence — delivering AI-powered predictive maintenance, smart manufacturing frameworks, IoT-driven connected ecosystems, and N-tier supply chain risk solutions with clear P&L impact.
A core strength I bring is the ability to build from scratch and scale — setting up analytics platforms, defining enterprise data & AI roadmaps, shaping product narratives, and embedding digital capabilities into operating models. I combine strategic vision with execution discipline, ensuring innovation translates into sustained business value.
"The measure of digital transformation is not the technology deployed — it is the business value unlocked and the resilience built."
Defined enterprise-wide Data, AI, and Digital roadmaps aligned with corporate transformation objectives — integrating ERP, PLM, MES, and IIoT into a unified, governed data fabric.
Enabling predictive manufacturing, real-time process optimisation, and intelligent automation through IIoT, computer vision, and digital twin validation.
Designed data-driven frameworks using GenAI and 3rd-party data to map N-tier supplier networks, score risk across ESG, geopolitical, and cyber dimensions, and drive proactive mitigation.
Built and scaled global Analytics CoEs, managing multi-million dollar portfolios and leading diverse teams of up to 60 professionals across geographies.
Click any role to explore the full details of what was delivered.
Product Owner — Global Supply Chain Resilience | Client Services Lead — Growth Market SC&O | Centre for Data & Insights, Accenture Applied Intelligence
Rapidly shifting US tariff landscape creating cost volatility for raw materials and finished goods, impacting margins.
Advised CXO & Board on tariff impact at BOM level; mapped 17 high-risk materials using N-tier mapping; built COGS impact tracking model.
17 high-risk materials identified; $51M margin erosion forecast; mitigation playbook delivered across short-, mid- & long-term.
Semiconductor shortage causing major disruptions; need for proactive risk management to prevent production halts.
Developed Risk-Value Heat Map; created Supply Chain Digital Twin for 3,500 components and 700+ suppliers; ran resilience stress tests.
$160–260M reduced revenue loss every 3–4 years; 1,300+ parts assessed; event-based risk simulation capability established.
Lack of visibility beyond Tier 1 and inability to assess supply chain risk exposure across the full supplier network.
AI/ML + Azure OpenAI (GenAI) for automated data cleansing, NAICS mapping, BOM creation, risk scoring, and N-tier visualization.
Productivity ↑15%, working capital ↓10%, supplier management ↑3%; high-risk suppliers identified beyond Tier 1.
Severe supply chain disruptions and low N-tier supplier visibility hindering production planning and vehicle output.
Partnered with 3rd party data providers; mapped 50k business relationships, 5k physical nodes; built AI-driven digital twin for risk alerts.
71–86% accuracy for complex components; 22 risk alerts raised; sustainable risk management capability established.
Complex, high-risk multi-tier supplier networks with geopolitical and cyber risk exposure in sensitive defense industries.
Conducted 4-phase N-Tier Network Analysis: network mapping, multi-tier risk assessment, visualization, and action planning.
Vulnerabilities identified across 24+ countries; proactive mitigation enabled; compliance and predictive risk management improved.
Limited visibility into upstream mining operations and biodiversity impact of suppliers across the value chain.
Enhanced N-tier mapping (T1–T3) to trace suppliers to mines and assess biodiversity and nature impact at source.
Improved transparency into biodiversity risks; enabled responsible sourcing compliance with sustainability reporting requirements.
Designed and delivered a comprehensive digital warranty transformation solution integrating analytics, automation, and AI to drive significant cost savings and operational efficiency for global manufacturing clients.
Built an IoT-powered track and trace system with analytical insights for smart visi coolers, enabling real-time monitoring, operational visibility, and data-driven sales growth strategies.
Developed a commodity price prediction model for a Middle East client using external data from CEIC and other sources, enabling strategic procurement decisions and significant cost optimization.
Built a product for N-tier supply chain network identification with risk scoring across Operational, Financial, ESG, Geopolitical and Cyber dimensions for Auto, Consumer Electronics, Healthcare, Pharma, Retail & CPG clients globally.
Delivered IoT analytics solution for predictive maintenance of critical assets and operations management of an oil refinery, leveraging live streaming data to minimize downtime and optimize maintenance cycles.
Developed a dealer behaviour analytics model that identified outlier PINs and provided actionable recommendations. Bringing outlier dealers to non-outlier behaviour patterns delivered ~$7.5M in documented savings.
Two parallel analytics programs — labor cost optimization for a major high-tech client and authorized service centre performance improvement — each delivering over €5M P&L impact through targeted analytics interventions.
Developed near real-time energy forecasting solution using smart meter data for DISCOMs, enabling accurate demand prediction and improved grid management.
Through SAS (SWA) for Whirlpool Corporation
Business Process Re-engineering w.r.t. Customer Experience
Analytics-driven support for legal proceedings and insights delivery
Australia, China, Hong Kong & India
Alignment and standardisation of MCR — Asia
Driving Serviceability Project across India operations
Charge back of excess amounts spent on warranty claims beyond BET target
Hong Kong — Jun 2009 to Dec 2009
UK/Ireland operations transitioned to Gurgaon from Bangalore, India
Whether you are looking for a strategic partner for digital transformation, a thought leader in supply chain analytics, or simply want to connect — I would love to hear from you.
Available for CXO, VP & Partner-level leadership roles across Digital, Data & AI, Manufacturing, and Supply Chain Transformation — India · Middle East (UAE/GCC) · Singapore/APAC