* Devised product vision, strategy, roadmap, & explainable optimization workflows (tariffs, duties, vendor performance, supply-risk, capacity) for a 0→1 retail sourcing product; launched MVP in 4 months * Spearheading a 3-stage rollout of agentic-enabled workflows across inventory, sourcing, and assortment planning products, evolving from decision explainability to self-serve analysis and toward semi-automated planning support for enterprise users. * Led GTM strategy to scale OOTB InventorySmart offering for top US fashion and big-box retailers * Built reusable platform configurator capabilities across 5+ products (Inventory, Assortment, etc.), standardizing feature scope, schemas, and data pipelines to accelerate 15+ enterprise implementations by 50% while reducing delivery effort by 50% . * Enhanced merchandising platform availability per day by 30% despite large-scale data ingestions by partnering with database, pipeline, and product architects to implement replicas and delta-based updates, ensuring uninterrupted enterprise access * Implemented observability dashboards & alerts for 3+ products, covering critical infra to cut incident response time by 40%

* Managed end-to-end lifecycle of AmEx’s global fraud & credit decisioning platform across 10+ international markets, enabling ~60M annual card approvals, improving fraud prediction accuracy by 25%, and preventing $5M+ in fraud losses * Spearheaded delivery across 3 program increments, orchestrating 10+ teams (Strategy, Decision Sciences, Credit Bureau, vendors, KYC, journey orchestration) to manage cross-team dependencies & drive 25+ coordinated feature releases * Expanded fraud prediction capabilities by integrating 5+ 3rd-party data sources, including BioCatch behavioral signals across web and mobile app channels, enhancing model feature engineering & driving a 10% increase in fraud detection *Improved sprint predictability & throughput by 40% for a team of 20 via sprint planning, prioritisation, & dependency mgmt.

* Led post-sales success for 25+ enterprise clients (> $3M ARR), mentoring a 5-person team; introduced data-driven QBRs, product consulting & workflow improvements, achieving 99% customer retention & 35% expansion * Enhanced UX & increased adoption by 30% via redesigned workflows, role-based abstractions, automated topic suggestions * Partnered with client executive leadership to define digital strategy, design marketing campaigns, set up analytics frameworks, & performance measurement, improving social media campaign effectiveness by 20% and efficiency by 30%. * Implemented analytics (event tracking, heat maps) to drive data-driven feature prioritisation, boosting feature utilisation 15%

* Owned AI-driven raw material inventory planning product, improving forecast accuracy ~20% & reducing stock imbalances ~25% by guiding inventory policies with KPIs, prioritizing high-value products, tracking latest data, & automating replenishment * Advised a NA–based insurance client on Martech/AdTech transformation, benchmarking current stack, optimizing TCO, & recommended a target-state architecture that improved campaign efficiency by 40% & reduced execution time by 35%. * Defined digital channel strategy & future-state operating model for a telecom client, aligning cross-functional teams, mapping 25+ initiatives, & enabling 40% faster rollout of digital services while increasing self-care channels adoption by 25%

* Delivered enterprise data warehouse & BI solutions for the financial services arm of a German automotive major, integrating 5+ systems & building 300+ ETL pipelines & reports to automate portfolio analysis, reducing decision turnaround time by 50% * Led a team of 5 to integrate and warehouse data from Financing, Insurance, CRM, Dealer, and Payments systems, defining ETL workflows, schema design, and automated data validation mechanisms to ensure high data quality and consistency * Developed 100+ financial reporting systems & Dashboard (e.g., vehicle loan/leasing) using Power BI and Tableau, and improved the performance of 30+ reporting workflows by 30% through query optimization & parallel processing techniques