Oversaw a robust data platform on Azure Databricks, reporting to the CDAO and managing a $10M budget and 30+ team members, including architects, engineers, data scientists, and analysts. Led data architecture modernization, advanced analytics and self-service. Fostered an innovation culture through “art of possible” sessions with stakeholders, driving new analytics opportunities. Played a key role in steering committees to align analytics contributions with product goals.Strategy and Vision: Transformed functional teams into product-focused analytics teams, delivering data-driven solutions through a comprehensive product roadmap. Built and led DataOps, MLOps, Statistical Forecasting, Master Data, and other core analytics teams.Data Engineering and AI/ML: Implemented DataOps for scalable and reliable pipelines, supporting real-time and batch needs. Integrated ERP and external data sources, developed statistical forecasting and ML models, and introduced AI capabilities via partnerships.Governance and Partnerships: Built data governance structures to ensure data quality and stewardship. Partnered with executives and functional owners to address business challenges using AI/ML. Established working committees to drive roadmap alignment and prioritization.People Management: Managed a 30+ member team across product groups, prioritizing tasks and mitigating risks. Oversaw vendor relationships and negotiations.

Led analytics and data engineering teams leveraging Google Cloud Platform, Informatica, SAP HANA, IBP, and Tableau. Managed 3 direct and 10+ indirect reports, fostering a data-driven culture. Applied data science techniques to improve forecasting accuracy, optimize operations, and uncover growth opportunities.Data Strategy and Governance: Implemented a ‘One Source of Truth’ strategy to support S&OP planning, reporting, and advanced analytics. Led data lifecycle management and governance and data quality initiatives.Advanced Analytics: Improved global forecast accuracy and bias by 50% with guided analytic tools. Enhanced production adherence by 10% and improved inventory health through streamlined processes.Insights and Growth: Utilized data science to deliver faster insights, optimize go-to-market strategies, enhance understanding of consumer sentiment and behavior, and inform product changes. Revenue Growth Management: Led the analytics initiatives to drive growth; SKU rationalization insights.Cross-Functional Leadership: Standardized data definitions, improved data literacy, and established a strong governance framework across cross-functional teams.

Led multi-disciplinary business intelligence and data science team to create and deploy models, dashboards, and guided analytical tools. Partnered with execs to define KPIs, build business cases, and product roadmaps.

Developed the analytics and data governance roadmap and data strategy. Created solutions using data science and machine learning. Controlled post-acquisition finance master data mapping activities and regularized BI and DG CoE with business and IT members across the globe.

BI Consulting

Helped re-architect the BI environment / accelerate BI adoption in less than 6 months by driving the self-service BI model, backed by simplified security design and a data model design for a traditional SAP BW warehouse.

Reporting Lead to help set up reporting infrastructure utilizing SAP BI and provide operational reporting across sales, purchasing, and all finance departments. Managed the BI ETL and reporting teams with 10+ direct reports.

Lead consultant for BI projects• Project lead for BI track for SAP implementations.• Partnered with clients to prepare and deliver their BI roadmap.• Architected complex BI solutions across projects for various clients.

Managed Oracle Data Warehouse, Informatica. Led the implementation of SAP BI and MDM. Enabled a data-driven culture.