Ankur Kapoor
Director, Software Engineering @Salesforce
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WORK HISTORY
Director, Software Engineering @Salesforce
Hyderabad, IN
EDUCATION
Cathedral School , Lucknow
HSC, Computer Science
Krishna Institute of Engineering and Technology
B.TECH, Computer Science
New Way School , Lucknow
SSC
SKILLS
ABOUT ANKUR KAPOOR
Senior Technology Leader with 18+ years at Salesforce, leading global teams of 100+ across cloud migrations, enterprise data management, data engineering, and AI/ML. Proven in delivering large-scale data and cloud initiatives, driving innovation through automation and AI. Skilled in building cross-functional teams, leading global operations, and managing offshore, multicultural teams across time zones.Currently, spearheading Enterprise Data Management, leading the Master Data Management (Account,Contact,Product) and the Enterprise Data Quality product lines.Led a high-performing Enterprise Data Engineering team based in the Hyderabad hub, consisting of 10+ full-time employees and collaborating with approximately 100 Deloitte /NTT members.Proven expertise in building data teams from the ground up, having established the APAC Data Engineering, Data Platform, and AI/ML teams over the past 6.5 years at Salesforce.Led Modernize Cloud Migration of approximately code components from OnPrem to the cloud, enhancing system scalability and optimizing cost efficiency.Developed a comprehensive suite of Cloud migration technical strategies covering UAT, deployment, cutover, push mapping, environment setup, and PDO enablement.Managed the replication of ~2500 objects using an E2E Automated Homegrown solution, delivering ~600k in cost savings.Created Agentforce Strategy and Led Delivery of multiple Agents -MDM Insights Agent, DQ Agent, Rule Generator AgentSuccessfully led the migration of approximately 4500 views across 14 BUs, resulting in a seamless cut over with no disruptions to business.Drove Ops excellence—reduced 5k+ monthly failures, cut NTT costs from $500K to $66K, improved TDD by 67%, and automated monitoring and job restarts.Defined the Data Engineering strategy and led key projects like AOV Standardization, GRC, EMEA Reseller, and LDP across Finance, Sales, Marketing, Real Estate, and LRCSpearheaded the development of an AI/ML program, productizing 3 key use cases and scaling to 40+ additional use cases.Led AI/ML initiatives, successfully productionizing AP Anomaly Detection to improve financial audits of payable invoices from 4% to 100%, cutting classification time by 90%.Optimized Data360 LRC SLA reporting—cut runtime from 10 mins to 1 sec and compute time from 24 to 2 hours.
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