Divya Shah

About Divya Shah

With over 19 years of experience in data analytics, engineering, and enterprise data strategy, I specialize in building scalable, tech-driven solutions that seamlessly integrate into complex business architectures. I bring a unique blend of business acumen, technical depth, and leadership to drive data strategy, governance, and compliance — unlocking measurable business value at scale. I lead the Data Foundation team, overseeing end-to-end delivery and operations of advanced analytics and AI initiatives across diverse functions and geographies. I partner with cross-functional stakeholders to identify high-impact, data-driven opportunities, align them with strategic goals, and deliver cost-optimized, innovative solutions while ensuring strong data governance and compliance frameworks. Career highlights include: Data & Analytics capability Recently started with Agentic AI, to follow my passion of automation, certified with Agentic AI Engineering. Architected global solutions on Azure Cloud at Deloitte, driving enterprise-wide analytics transformation Championing automation, cloud optimization, robust data governance, and compliance to enable trustworthy AI and reliable insights I’m passionate about transforming data into actionable strategy, embedding ethical and compliant AI solutions, and solving complex business challenges through cutting-edge technologies. Whether it’s designing enterprise data strategy, optimizing ML pipelines, or fostering a culture of data stewardship — I thrive at the intersection of data, AI, governance, and impact.

Experience

1. Senior Manager - Data Analytics

   Unilever

   Aug 2021 — Present · Maharashtra, IN

   Project Development: Established the Data & Analytics capability at Unilever responsible for analytics project development & delivery, aiming for scalable, efficient, and cost-optimized end-to-end solutions that seamlessly integrate with existing enterprise architecture from technical, business, and user perspectives. At the later part of the role, led the MLops team with end-to-end management and deployment of multiple Machine learning projects across various functions and geographies, ensuring alignment with business objectives.• Collaboration: Worked closely with cross functional teams including data scientists, engineers and business stakeholders from sales and supply chain teams to identify data-driven opportunities and address business challenges. Developed and maintained relationships with stakeholders, providing regular updates on project status, addressing concerns, and identifying opportunities for additional collaboration. Managed the solution delivery for 60+ products collaborating with business users and engagement team across Supply Chain, Customer Development, Cross functional to deliver quality solutions• Vendor Management: Managed relationships with external vendors to leverage specialized expertise and resources for advanced analytics projects.• Performance Monitoring: Established metrics and KPIs to track the performance of analytical solutions delivery & data science initiatives and recommended adjustments to optimize outcomes. Optimized the Infrastructure cost up to 1.5 M Euros for Azure landscape by performance tuning• Continuous Improvement: Stayed updated with industry trends and emerging technologies, driving innovation and enhancing analytical capabilities. Implemented best practices for MLOps, including model versioning, continuous integration/continuous deployment (CI/CD), and model monitoring to ensure model reliability and scalability.• Team Management: Mentored team, guiding them on project execution and career development.

Education

• St. Stephen's High School

  upto HSC

  1993 — 2000

• Gujarat University

  B.E.

  2001 — 2004